# ept AI — full site content bundle
This file contains the complete marketing content of www.ept.ai in markdown form, one page per section. The source of truth is the set of component-structured markdown files under content/pages/ in our repo. Regenerate with `npm run generate:llms`.
Generated: 2026-09-24T00:00:00.000Z
---
## The Agentic Sales Platform for Complex Products | ept AI
- Route: `/`
- URL: https://www.ept.ai/
- Description: ept AI is the Agentic Sales Platform for technology companies with complex sales. It puts unused sales capacity, pipeline opportunity, and competitive intelligence to work across every rep, account, and cycle.
- Products: Deal Room, Application Room, AI Applications Engineer, AI Product Channel
- Last modified: 2026-04-30
```markdown
title: "The Agentic Sales Platform for Complex Products | ept AI"
lastUpdated: "2026-04-30"
route: "/"
description: "ept AI is the Agentic Sales Platform for technology companies with complex sales. It puts unused sales capacity, pipeline opportunity, and competitive intelligence to work across every rep, account, and cycle."
products: ["Deal Room", "Application Room", "AI Applications Engineer", "AI Product Channel"]
owner: "rob@ept.ai"
kpis: [
"Demo request conversions >= 5% of visitors",
"Avg scroll depth >= 70%",
"Logo bar visibility >= 90% of sessions"
]
devNotes: {
ogImage: "/assets/og/homepage.png",
twitterCard: "summary_large_image",
personaTargets: "CRO, VP Sales, VP Marketing at complex-product companies; technical evaluators; press and analysts"
}
---
layout: "text-left-animation-right"
eyebrow: "Agentic Sales Platform"
h1: "AI that works the way you sell."
subhead: "Built for technical sales teams selling complex products — long cycles, demanding buyers, high-stakes decisions. Connects to your existing stack. Minimal IT lift."
ctaPrimary: "See it on your accounts →"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
embeddedChat: true
chatPlaceholderText: "Is this built for how we sell?"
chatDefaultQuestions: [
{ label: "Is this built for how we sell?", question: "Is this built for how we sell?" },
{ label: "Will reps use it?", question: "Will my sales reps actually use this, or will it fade out like every other tool we've tried?" },
{ label: "vs. Salesforce", question: "How does ept AI compare to Salesforce?" },
{ label: "vs. Microsoft Copilot", question: "How does ept AI compare to Microsoft Copilot?" },
{ label: "Is our data secure?", question: "Is our data private and secure — and does it train your AI models?" }
]
chatBotName: "ept AI"
chatHeaderName: "ept AI Assistant"
chatIntroText: "Ask me about ept AI solutions, ROI, how the platform works, or how we compare to other tools."
---
label: "Trusted by"
logos: [
{ name: "Novanta", logo: "/images/brand-icons/novanta.svg" },
{ name: "TDK Lambda", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Liquid Instruments", logo: "/images/brand-icons/liquid_instruments.png" },
{ name: "Cambium Networks", logo: "/images/brand-icons/cambium.png", heightScale: 1.2 },
{ name: "EG4", logo: "/images/brand-icons/eg4.png", heightScale: 1.35 }
]
---
title: "Purpose-built for tech companies with complex sales."
paragraphs: [
"A single design-in win generates years of revenue — but only if your team earns it with the right intelligence at the right moment. Generic tools give you fragments of what you need. ept AI was built to give your entire commercial organization all of it."
]
domainHeader: "Knowledge domain"
comparisonColumns: [
{ key: "chatgpt", label: "Chatbot", subLabel: "PUBLIC ONLY", dimmed: true },
{ key: "crm", label: "CRM", subLabel: "WHAT YOU LOG", dimmed: true },
{ key: "ept", label: "ept AI", subLabel: "YOUR MOTION", dimmed: false }
]
comparisonRows: [
{ domain: "Products", values: { chatgpt: "Surface level", crm: "None", ept: "complete" } },
{ domain: "Customers", values: { chatgpt: "Surface level", crm: "Names only", ept: "complete" } },
{ domain: "Competitors", values: { chatgpt: "Surface level", crm: "None", ept: "complete" } },
{ domain: "Stakeholders", values: { chatgpt: "Surface level", crm: "Names only", ept: "complete" } },
{ domain: "Deal context", values: { chatgpt: "None", crm: "Logged only", ept: "complete" } },
{ domain: "Market intel", values: { chatgpt: "Surface level", crm: "None", ept: "complete" } }
]
---
title: "Sales AI That Fits Your Business"
subtitle: "Your existing systems become a single intelligence layer that powers four purpose-built applications."
systemsLabel: "Your systems"
systems: [
{ label: "CRM" },
{ label: "Product docs" },
{ label: "Support" },
{ label: "PIM / Catalog" },
{ label: "Code & specs" }
]
platformLabel: "ept AI Platform"
pillars: [
{
label: "Knowledge",
description: "Unified context from your product, customers, and conversations."
},
{
label: "Skills",
description: "Agents that prepare, answer, route, and recommend."
},
{
label: "Interfaces",
description: "Surfaces in CRM, chat, channel — wherever the work happens."
}
]
solutionsLabel: "Four solutions"
solutions: [
{ label: "Deal Room", description: "Sales", url: "/solutions/deal-room/" },
{ label: "Application Room", description: "Business Development", url: "/solutions/application-room/" },
{ label: "AI Applications Engineer", description: "Applications Engineering", url: "/solutions/ai-applications-engineer/" },
{ label: "AI Product Channel", description: "Digital Sales", url: "/solutions/ai-product-channel/" }
]
---
title: "See how AI is transforming sales"
subtitle: "A short look at how ept AI changes the day-to-day for sales reps, applications engineers, and revenue leaders."
provider: "vimeo"
videoId: "1191999319"
videoHash: "cce1060daf"
thumbnail: "/images/home/see-how-ai-is-transforming-sales.png"
aspectRatio: "16:9"
maxWidth: "medium"
expandable: true
expandLabel: "Watch the overview"
collapsedSize: "compact"
startMuted: true
captions: "en"
anchorId: "video"
---
title: "Proven in Production, Validated By Teams."
quotes: [
{
quote: "ept AI turbocharges both our sales and support teams.",
author: "Daniel Shaddock",
title: "CEO",
company: "Liquid Instruments",
avatar: "/images/customers/daniel-shaddock.png",
tag: "Sales & Support"
},
{
quote: "Elevates our consultative selling, gives us confidence in our positioning and a clear competitive edge. We're faster, smarter, and have more strategic wins.",
author: "Tom Wichert",
title: "VP Sales",
company: "TDK Lambda",
avatar: "/images/customers/tom-wichert.png",
tag: "Sales"
},
{
quote: "We've seen a 30% increase in Net Promoter Score since adopting ept AI.",
author: "Joe Faurote",
title: "Director, Global Service Operations",
company: "Cambium Networks",
avatar: "/images/customers/joe-faurote.png",
tag: "Customer Success"
}
]
---
title: "Build knowledge capabilities your competitors can't replicate."
paragraphs: [
"Every customer interaction is structured into an asset you own: proprietary, exportable, and compounding from day one.",
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what your team is capable of."
copy: "We build your demo from your own public web presence. You see exactly how ept AI makes your sales team more productive, better prepared, and more aligned."
ctaText: "Schedule a conversation →"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
subNote: "Your company. Your products. Your demo."
dataEvent: "cta-homepage-demo"
```
---
## About | Built by operators from the industries we serve
- Route: `/about`
- URL: https://www.ept.ai/about/
- Description: ept AI is the Agentic Sales Platform for companies that sell complex products — built for OEM suppliers in semiconductor, industrial, and adjacent B2B tech. Meet the founders, see the story, read what customers say in production.
- Products: Core Platform, Deal Room, AI Product Channel, AI Applications Engineer, Application Room
- Last modified: 2026-04-23
```markdown
title: "About | Built by operators from the industries we serve"
lastUpdated: "2026-04-23"
route: "/about"
description: "ept AI is the Agentic Sales Platform for companies that sell complex products — built for OEM suppliers in semiconductor, industrial, and adjacent B2B tech. Meet the founders, see the story, read what customers say in production."
products: ["Core Platform", "Deal Room", "AI Product Channel", "AI Applications Engineer", "Application Room"]
owner: "rob@ept.ai"
kpis: [
"Scroll depth >= 60% across all audience segments",
"Demo request conversion >= 5% of visitors",
"Careers section click-through >= 3%"
]
devNotes: {
ogImage: "/assets/og/about.png",
twitterCard: "summary_large_image",
personaTargets: "Enterprise buyers doing due diligence, potential hires evaluating the company, press and analysts"
}
---
layout: "text-left-animation-right"
h1: "Complex technical sales was waiting for its operating system. We built it."
subhead: "ept AI was founded by B2B technology operators who spent careers selling semiconductors, industrial products, and enterprise platforms. We built the platform we wished existed — now in production at TDK Lambda, Novanta, and Synaptics."
imageBrief: "Abstract visualization of the ept AI platform connecting knowledge sources to sales and engineering teams, with enterprise-grade trust signals."
imagePath: "/images/pages/about-hero.svg"
altText: "ept AI mission card showing people and AI working together on complex technical sales"
ctaPrimary: "See it in action"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See open roles"
ctaSecondaryUrl: "#open-positions"
---
sectionId: "why-ept-ai-exists"
eyebrow: "Why ept AI exists"
title: "We built for the sales motion OEMs actually run."
subtitle: "Drag the divider. The same four questions, answered the old way on the left and the ept AI way on the right."
hintLeft: "← drag left to see more of what we built"
hintRight: "drag right to see more of what we inherited →"
before: {
eyebrow: "Before · what we inherited",
headline: "The old stack couldn't answer the question.",
items: [
{
title: "Knowledge lived in people",
description: "One FAE. One senior rep. One vacation away from a lost design-win."
},
{
title: "Catalogs were databases",
description: "Thousands of parts. Searchable only if you already knew the suffix."
},
{
title: "CRMs captured history",
description: "Pipeline hygiene and forecasting. Not answers to the question the buyer just asked."
},
{
title: "Pilots took a year to prove",
description: "Six-figure SOWs and beautiful POCs. The champion left before procurement finished."
}
]
}
after: {
eyebrow: "After · what we built",
headline: "The new motion ships the answer.",
items: [
{
title: "Living Profiles that survive turnover",
description: "A continuously updated profile for every customer, part, opportunity, and engineer. Institutional memory becomes a company asset."
},
{
title: "Natural-language catalog search",
description: "Every part indexed and retrievable in plain English — no suffix decoder ring required."
},
{
title: "Skills that reason over the data",
description: "AI scans every deal, ticket, and account. Surfaces cross-sells. Flags at-risk accounts before they churn."
},
{
title: "Production in weeks, not years",
description: "Deal Room and AI Applications Engineer ship inside Salesforce and Zendesk. Named customers in full adoption by week ten."
}
]
}
---
title: "Proven in production, not in decks"
metrics: [
{ metric: "Custom AI skills running our business in production — sales, CS, content, engineering, and ops", result: "50+", product: "ept AI · Internal Ops", url: "" },
{ metric: "We are our own first customer — every capability runs internally before it ships to pilots", result: "#1", product: "ept AI · Platform", url: "" },
{ metric: "Of our team uses AI as a primary tool for their job. Not a feature. The way we work.", result: "100%", product: "ept AI · Team", url: "" },
{ metric: "Engineering velocity increase over the past 12 months — same team, AI-augmented execution", result: "548%", product: "ept AI · Engineering", url: "" },
{ metric: "More live time with customers compared to traditional CS models — AI handles the rest", result: "3x", product: "ept AI · Customer Success", url: "" }
]
---
title: "Trusted by leading OEM suppliers"
logos: [
{ name: "TDK Lambda", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Liquid Instruments", logo: "/images/brand-icons/liquid_instruments.png" },
{ name: "Ezlo", logo: "/images/brand-icons/ezlo.png" },
{ name: "EG4", logo: "/images/brand-icons/eg4.png" }
]
---
eyebrow: "The team"
title: "Built by operators from the industries we serve"
subtitle: "A small, senior founding team with direct experience in the sales motions, technical workflows, and customer relationships the platform supports. Every person who joins now shapes what the company becomes."
members: [
{
name: "Rob Conant",
role: "CEO & Co-Founder",
bio: "B2B technology executive with deep experience in semiconductor sales, enterprise go-to-market, and scaling technical product organizations. Rob built and led commercial operations in the industries ept AI serves — and founded the company to build the platform he wished existed.",
tags: ["Semiconductor sales", "Enterprise GTM", "OEM markets"],
photo: "/images/person01.png",
linkedin: "https://www.linkedin.com/in/robconant/",
email: "rob@ept.ai",
featured: true
},
{
name: "Jeff Abramowitz",
role: "Co-Founder & Chief Commercial Officer",
bio: "Commercial leader with decades of B2B technology experience running sales, partnerships, and customer success for OEM suppliers. Jeff owns how ept AI lands inside enterprise customers and scales from first deployment to full production adoption.",
tags: ["Commercial strategy", "Enterprise sales", "Customer success"],
photo: "/images/person02.png",
linkedin: "https://www.linkedin.com/in/jeffabramowitz/",
email: "jeff@ept.ai",
featured: true
},
{
name: "Product",
role: "Product leadership",
bio: "Shaping how Living Profiles, Skills, and Interfaces translate into workflows that enterprise sales and support teams actually adopt.",
tags: ["Product strategy", "Enterprise UX", "Domain modeling"]
},
{
name: "Engineering",
role: "Platform team",
bio: "Building the infrastructure — ingestion pipelines, profile maintenance, Skills execution, and the interfaces that deliver intelligence to end users.",
tags: ["AI/ML systems", "Cloud infrastructure", "Data engineering"]
},
{
name: "Customer Success",
role: "Production delivery",
bio: "Ensuring every deployment reaches production value — from initial data connection through full rollout and ongoing optimization.",
tags: ["Enterprise deployment", "OEM workflows", "Adoption strategy"]
},
{
name: "Sales",
role: "Go-to-market",
bio: "Partnering with enterprise buyers to land and expand the platform inside the sales and support organizations it was built for.",
tags: ["Enterprise sales", "Partner channels", "Industry marketing"]
}
]
---
title: "Why people join ept AI"
subtitle: "A founding-team opportunity with named customers already in production. Early enough to shape everything, late enough to prove it works."
benefits: [
{
icon: "/images/icons/building-2.svg",
title: "Remote-first",
description: "Work from wherever you do your best thinking. We're distributed by design, not by compromise."
},
{
icon: "/images/icons/trending-up.svg",
title: "Early stage, real traction",
description: "Named customers in production. Category-defining product. You're early enough to shape everything, late enough to prove it works."
},
{
icon: "/images/icons/brain.svg",
title: "Deep domain advantage",
description: "Built by people who've spent careers in semiconductor, industrial, and enterprise tech. Domain expertise is the moat."
},
{
icon: "/images/icons/zap.svg",
title: "AI-native platform",
description: "Living Profiles, Skills, and Interfaces built from the ground up as an intelligence platform. AI isn't a feature — it's the foundation."
}
]
---
title: "Open roles"
subtitle: "We're hiring across the company. See what's open and apply directly."
boardId: "ept-ai-inc"
contactEmail: "careers@ept.ai"
contactCta: "Don't see the right fit? Reach out at"
```
---
## Careers at ept AI | Join Us
- Route: `/careers`
- URL: https://www.ept.ai/careers/
- Description: Join ept AI and help build the Agentic Sales Platform for OEM suppliers. We're remote-first, early-stage, deep-domain, and AI-native. Explore open roles.
- Last modified: 2026-04-23
```markdown
title: "Careers at ept AI | Join Us"
lastUpdated: "2026-04-23"
route: "/careers"
description: "Join ept AI and help build the Agentic Sales Platform for OEM suppliers. We're remote-first, early-stage, deep-domain, and AI-native. Explore open roles."
owner: "rob@ept.ai"
kpis: [
"Application click-through >= 5% of page visitors",
"Scroll depth >= 70%"
]
devNotes: {
ogImage: "/assets/og/careers.png",
twitterCard: "summary_large_image",
personaTargets: "Prospective hires evaluating the company, recruiters, referral candidates"
}
---
layout: "text-left-animation-right"
h1: "We're building something genuinely new"
subhead: "ept AI is defining a new category for B2B tech companies. The team is small, the traction is real, and every person who joins now shapes what the company becomes."
imageBrief: "Abstract visualization of a collaborative team building AI-powered enterprise tools, with nodes and connections representing knowledge and teamwork."
imagePath: "/images/pages/connectors.svg"
altText: "Team building AI-powered enterprise tools"
ctaPrimary: "See open roles"
ctaPrimaryUrl: "#open-positions"
ctaSecondary: "About"
ctaSecondaryUrl: "/about"
---
title: "Why ept AI"
subtitle: "What it's like to work here — and why it matters."
benefits: [
{
title: "Remote-first",
description: "Work from wherever you do your best thinking. We're distributed by design, not by compromise."
},
{
title: "Early stage",
description: "Named customers in production. Category-defining product. You're early enough to shape everything, late enough to prove it works."
},
{
title: "Deep domain",
description: "Built by people who've spent careers in semiconductor, industrial, and enterprise tech. Domain expertise isn't optional here — it's the advantage."
},
{
title: "AI-native",
description: "AI isn't a feature we bolted on. Living Profiles, Skills, and Interfaces are built from the ground up as an intelligence platform."
},
{
title: "Real impact",
description: "TDK Lambda in full production. Novanta delivering results in 10 weeks. What you build ships to enterprise customers."
},
{
title: "Founding culture",
description: "Small team, high trust, low bureaucracy. Every person here directly influences the product, the customers, and the company trajectory."
}
]
---
title: "The traction is real"
metrics: [
{ metric: "Cross-sell signals surfaced in 10 weeks", result: "430", product: "Novanta — Deal Room", url: "/solutions/deal-room" },
{ metric: "Parts searchable in natural language — full production", result: "135K", product: "TDK Lambda — AI Product Channel", url: "/solutions/ai-product-channel" },
{ metric: "Feature adoption by week 10 of pilot", result: "~100%", product: "Enterprise customers", url: "/about" }
]
---
title: "Open positions"
subtitle: "Explore our current openings and find your next opportunity."
boardId: "ept-ai-inc"
contactEmail: "careers@ept.ai"
contactCta: "Don't see the right role? Reach out at"
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Interested in ept AI?"
copy: "Even if you don't see an open role that fits, we're always interested in connecting with talented people who are passionate about AI and B2B technology."
ctaText: "Get in touch"
ctaUrl: "mailto:careers@ept.ai"
ctaSecondary: "Learn about the platform"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-careers-contact"
```
---
## AI for OEM Suppliers — Industries We Serve | ept AI
- Route: `/industries`
- URL: https://www.ept.ai/industries/
- Description: ept AI is purpose-built for OEM suppliers across semiconductor, industrial, energy, medical, scientific, instrumentation, security, and SaaS verticals.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for OEM Suppliers — Industries We Serve | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/overview"
description: "ept AI is purpose-built for OEM suppliers across semiconductor, industrial, energy, medical, scientific, instrumentation, security, and SaaS verticals."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Click-through to industry pages ≥ 25%",
"Scroll depth ≥ 70%"
]
devNotes: {
images: "No imagery in hero. Proof-led design throughout.",
notes: "Semiconductor is the primary proof vertical."
}
---
layout: "centered"
theme: "light"
h1: "Built for OEM suppliers. Across every industry that sells the way you do."
subhead: "Complex catalogs. FAE-supported pre-sales. Distributor and installer channels. Long design-in cycles. If this is how your commercial organization operates, ept AI was built for you."
---
title: "The commercial motion generic AI wasn't built for."
subtitle: "Across all eight industries, the same structural challenges appear — with different product names and different proof points."
benefits: [
{
icon: "/images/icons/search.svg",
title: "Complex technical catalogs",
description: "Thousands of products, deep parametric specifications, application-specific fit. Your customers' engineers need more than a search filter — they need an answer."
},
{
icon: "/images/icons/brain.svg",
title: "FAE and applications engineer-supported sales",
description: "The best technical resource in your commercial organization is also the scarcest. Every routine question they personally handle is time away from complex design-in support."
},
{
icon: "/images/icons/building-2.svg",
title: "Distributor and installer channels",
description: "Products sold through channel partners who need product intelligence and technical support — without direct access to your team. That's a knowledge delivery problem ept AI solves."
}
]
---
title: "One commercial motion. Purpose-built across technical industries."
intro: "Different markets, same sales architecture: complex products, technical buyers, channel leverage, and account context that has to compound over time."
industries: [
{
id: "semiconductor",
title: "Semiconductor & Electronics",
description: "Complex components sold through design wins, FAE support, parametric catalogs, and multi-stakeholder OEM evaluations.",
icon: "/images/icons/cpu.svg",
url: "/industries/semiconductor",
metrics: []
},
{
id: "industrial",
title: "Industrial",
description: "Automation equipment, sensors, PLCs, motor drives, and industrial systems sold through technical channels.",
icon: "/images/icons/factory.svg",
url: "/industries/industrial",
metrics: []
},
{
id: "energy",
title: "Energy",
description: "Solar, EV charging, grid equipment, storage, and power conversion sold through project and installer networks.",
icon: "/images/icons/zap.svg",
url: "/industries/energy",
metrics: []
},
{
id: "medical",
title: "Medical Devices",
description: "Regulated components and equipment where buyers need precise answers across specs, standards, and documentation.",
icon: "/images/icons/heart-pulse.svg",
url: "/industries/medical",
metrics: []
},
{
id: "scientific",
title: "Scientific Instruments",
description: "Lab, analytical, and measurement systems that require specialist pre-sales and deep technical Q&A.",
icon: "/images/icons/flask-conical.svg",
url: "/industries/scientific",
metrics: []
},
{
id: "instrumentation",
title: "Instrumentation & T&M",
description: "Test-and-measurement teams managing calibration, firmware, SCPI commands, field service, and support complexity.",
icon: "/images/icons/instrumentation.svg",
url: "/industries/instrumentation",
metrics: []
},
{
id: "security",
title: "Physical Security",
description: "Cameras, access control, sensors, and alarm systems sold through integrator and installer channels.",
icon: "/images/icons/shield.svg",
url: "/industries/security",
metrics: []
},
{
id: "saas",
title: "SaaS & Cloud Software",
description: "Technical SaaS teams using product knowledge AI for adoption, support deflection, NRR, and sales ramp.",
icon: "/images/icons/bot.svg",
url: "/industries/saas",
metrics: []
}
]
---
title: "Trusted by technical product companies"
logos: [
{ name: "TDK Lambda", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Novanta", logo: "/images/brand-icons/novanta.svg" },
{ name: "Liquid Instruments", logo: "/images/brand-icons/liquid_instruments.png" },
{ name: "Ezlo", logo: "/images/brand-icons/ezlo.png", heightScale: 1.2 },
{ name: "EG4", logo: "/images/brand-icons/eg4.png", heightScale: 1.3 }
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Don't see your industry?"
subtitle: "The commercial motion matters more than the label."
copy: "If you have long sales cycles, do account-based marketing, or have a large catalog of complex products, ept AI is built for you. Talk to us."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the platform"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-industries-overview-pilot"
```
---
## AI for Energy & Power OEM Sales | ept AI
- Route: `/industries/energy`
- URL: https://www.ept.ai/industries/energy/
- Description: Purpose-built AI for energy and power electronics OEMs. Catalog discovery, installer channel support, and deal intelligence.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Energy & Power OEM Sales | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/energy"
description: "Purpose-built AI for energy and power electronics OEMs. Catalog discovery, installer channel support, and deal intelligence."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests ≥ 8% of visitors",
"Avg scroll depth ≥ 75%"
]
devNotes: {
images: "No stock imagery. Proof numbers and TDK Lambda analog instead.",
ariaRoles: "Stat grid & logo band labelled for assistive tech"
}
---
theme: "light"
layout: "centered"
h1: "The complexity of energy hardware deserves more than a filter tree."
subhead: "Solar inverters. EV charging equipment. Power conversion. Grid infrastructure. Energy storage. Every product line has deep parametric complexity, installer channel dependencies, and customers who need the right answer — not a list of options. ept AI was built for exactly this motion."
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where energy hardware sales breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Catalog fit",
problem: {
heading: "The wrong inverter for a 500kW commercial site is a $50,000 mistake",
text: "Your catalog needs to surface the right product for the application — including compatibility, certification, and environmental fit — not return 80 results. Parametric filters weren't built for this."
},
solution: {
heading: "AI Product Channel delivers natural language catalog discovery",
text: "Grounded in Product and Application Living Profiles. An installer types '3-phase string inverter, 480VAC, UL1741SA certified, outdoor rated' and gets the right product with full technical context. 24/7, without a FAE.",
url: "/solutions/ai-product-channel",
proof: {
customer: "TDK Lambda",
metric: "135,000",
unit: "power electronics parts",
detail: "answered 24/7 with full technical context"
}
}
},
{
theme: "Channel support load",
problem: {
heading: "Every channel partner question that reaches your FAE is time you didn't budget for",
text: "Your installers, distributors, and integrators are the face of your product in the field. When they can't answer a customer's question, they call you. That's a FAE hour you didn't plan for."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical questions",
text: "First-layer technical question handling across chat and your ticketing system — grounded in your Product and Application Living Profiles. Your installer channel gets the support they need. Your FAEs stay focused on complex design problems.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "Project deal intel",
problem: {
heading: "Large project deal intelligence lives in individual rep brains, not your CRM",
text: "A commercial solar or fleet EV project deal involves procurement, engineering, and finance stakeholders across a 6-18 month timeline. Competitive threats, application fit, relationship history, cross-sell potential — none of it is captured systematically."
},
solution: {
heading: "Deal Room turns rep knowledge into a company-owned asset",
text: "A live workspace grounded in Customer and Deal Living Profiles — stakeholder maps, competitive positioning, application fit, cross-sell signals. Maintained by AI. What used to live in your best rep's head is now institutional memory.",
url: "/solutions/deal-room"
}
},
{
theme: "Cross-product patterns",
problem: {
heading: "Cross-product account opportunities stay invisible",
text: "A customer buying inverters is a natural candidate for monitoring and storage solutions. But the rep managing the inverter deal doesn't always know what else the account could absorb — or what adjacent products have already been quoted."
},
solution: {
heading: "Application Room surfaces cross-sell patterns no individual rep sees",
text: "Aggregates signals across deals and applications to surface cross-sell patterns. Which accounts active in solar are absent from storage? Which application areas are growing? Structured product intelligence, not rep intuition.",
url: "/solutions/application-room"
}
}
]
---
title: "The catalog problem is already solved — in power electronics."
subhead: "TDK Lambda delivers natural language product discovery across 135,000 parts, 24/7, without a FAE in the loop. The energy hardware catalog problem is structurally identical. More than 9 in 10 pilots convert to full rollout."
ctaPrimary: "Request a demo"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
title: "Three interfaces. One platform. All drawing on the same Living Profiles."
solutions: [
{
colSize: "3",
title: "AI Product Channel",
text: "Natural language catalog discovery for installers and distributors. The right product for the application, with full technical context, 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer technical support across chat and ticketing. Your installer channel gets answers. Your FAEs stay focused on complex design problems.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Deal Room",
text: "Account intelligence for large project deals. Stakeholder maps, competitive positioning, cross-sell signals — maintained by AI, not manual CRM updates.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from installer feedback, project inquiries, and field service data — structured for PMs and product marketing to guide energy product strategy.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "Built for enterprise trust"
backgroundColor: "#F3F8FF"
items: [
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. Report available under NDA."
},
{
title: "Your data stays yours",
description: "Customer data is never used to train models, shared across accounts, or retained beyond your contract. Full data isolation by design."
},
{
title: "Enterprise SSO and access controls",
description: "SAML-based single sign-on, role-based permissions, and audit logging for every user action."
},
{
title: "Private cloud deployment available",
description: "Deploy in your own cloud environment for maximum data sovereignty. On-premises options for regulated industries."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI looks like for your installer channel and your deals."
copy: "Every pilot starts with a clear ROI baseline — catalog deflection, FAE time saved, deal intelligence surfaced. By week 12 you have quantified results to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Back to Industries"
ctaSecondaryUrl: "/industries/overview"
dataEvent: "cta-energy-pilot"
```
---
## AI for Industrial Automation OEM Sales | ept AI
- Route: `/industries/industrial`
- URL: https://www.ept.ai/industries/industrial/
- Description: Purpose-built AI for industrial automation and equipment OEM suppliers. Parametric catalog discovery, channel support, and design-in deal intelligence.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Industrial Automation OEM Sales | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/industrial"
description: "Purpose-built AI for industrial automation and equipment OEM suppliers. Parametric catalog discovery, channel support, and design-in deal intelligence."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests ≥ 8% of visitors",
"Avg scroll depth ≥ 75%"
]
devNotes: {
images: "No stock imagery. Motion match and Novanta analog framing instead of named proof.",
ariaRoles: "Stat grid & solution cards labelled for assistive tech"
}
---
theme: "light"
layout: "text-left-animation-right"
h1: "Complex automation products need more than a parametric search box."
subhead: "Automation equipment. Sensors. PLCs. Motor drives. Test & measurement. Every product line has deep parametric complexity, FAE-supported pre-sales, and distributor channels who need product intelligence to specify correctly. ept AI is built for exactly this commercial motion."
imagePath: "/images/pages/industrial.png"
altText: "ept AI platform for industrial automation OEM product discovery and deal intelligence"
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where industrial automation sales breaks — and how ept AI rebuilds it"
pairs: [
{
theme: "Parametric discovery",
problem: {
heading: "Machine builders need to match on multiple parametric dimensions simultaneously",
text: "A machine builder or OEM integrator selecting a drive or sensor needs to match on multiple simultaneous parametric dimensions — and understand compatibility with the rest of the system they're building. A filter tree returns options. They need an answer."
},
solution: {
heading: "AI Product Channel delivers natural language product discovery",
text: "Grounded in Product and Application Living Profiles. '3-phase VFD, 15kW, EtherNet/IP, NEMA 4X, compatible with our Allen-Bradley PLC' returns the right product with full technical context — datasheet, compatibility notes, application guidance — 24/7, without a FAE.",
url: "/solutions/ai-product-channel"
}
},
{
theme: "Channel support load",
problem: {
heading: "Every distributor question that reaches your FAE is time you didn't budget for",
text: "Your distributor reps and OEM integrator partners are doing the application specification work with end customers. When they can't answer a configuration or compatibility question, the call comes to you. Every call is an FAE hour that wasn't planned, and a channel partner experience that reflects on your brand."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical questions at channel scale",
text: "First-layer technical support across chat and ticketing — grounded in Product and Application Living Profiles. Configuration questions, compatibility queries, sizing calculations — handled automatically, with escalation only when genuinely needed. Your FAEs stay focused on complex application engineering.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "Design-in deal intel",
problem: {
heading: "Design-in deal intelligence lives in individual rep brains, not your systems",
text: "A major automation project — a new production line, a facility upgrade, a robotics deployment — involves engineering, procurement, and operations stakeholders across 12-24 months. The intelligence that closes it is scattered across rep notes, email threads, and CRM fields nobody keeps current."
},
solution: {
heading: "Deal Room turns design-in intelligence into a company-owned asset",
text: "A live workspace grounded in Customer and Deal Living Profiles — stakeholder maps, competitive threats, application fit, cross-sell signals across your product portfolio. What used to require a senior rep's memory is now a company-owned asset, updated continuously by AI.",
url: "/solutions/deal-room",
proof: {
customer: "Novanta",
metric: "430",
unit: "cross-sell signals",
detail: "motion control & industrial accounts, 10 weeks"
}
}
},
{
theme: "Portfolio patterns",
problem: {
heading: "Application-level patterns stay invisible across the business",
text: "Which applications are driving the most design-in activity across your line right now? Which product gaps keep surfacing in distributor conversations? Which competitors are appearing most frequently in drive or sensor evaluations? No individual rep sees this — it lives in the aggregate."
},
solution: {
heading: "Application Room surfaces patterns no individual rep sees",
text: "Aggregates signals across deals, catalog queries, and support interactions to surface application-level patterns. Which industrial segments are growing fastest in your pipeline? Which product areas have recurring gaps? Structured product intelligence, updated continuously.",
url: "/solutions/application-room"
}
}
]
---
title: "Three interfaces. One platform. All drawing on the same Living Profiles."
solutions: [
{
colSize: "3",
title: "AI Product Channel",
text: "Natural language catalog discovery for distributors and OEM integrators. The right product for the application, with full technical context, 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer technical support across chat and ticketing. Your channel partners get answers. Your FAEs stay focused on complex application engineering.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Deal Room",
text: "Account intelligence for long-cycle design-in deals. Stakeholder maps, competitive positioning, cross-sell signals — maintained by AI.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from OEM conversations, design-in activity, and distributor queries — structured for PMs and product marketing to drive industrial product strategy.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "Built for enterprise trust"
backgroundColor: "#F3F8FF"
items: [
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. Report available under NDA."
},
{
title: "Your data stays yours",
description: "Customer data is never used to train models, shared across accounts, or retained beyond your contract. Full data isolation by design."
},
{
title: "Enterprise SSO and access controls",
description: "SAML-based single sign-on, role-based permissions, and audit logging for every user action."
},
{
title: "Private cloud deployment available",
description: "Deploy in your own cloud environment for maximum data sovereignty. On-premises options for regulated industries."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI finds in your design-in pipeline."
copy: "Every pilot starts with a clear ROI baseline — catalog deflection, FAE time saved, cross-sell signals surfaced. By week 12 you have quantified results to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Back to Industries"
ctaSecondaryUrl: "/industries/overview"
dataEvent: "cta-industrial-pilot"
```
---
## Scientific Instruments & Test-and-Measurement | ept AI
- Route: `/industries/instrumentation`
- URL: https://www.ept.ai/industries/instrumentation/
- Description: Purpose-built AI for scientific instrument and T&M companies. Instant calibration answers, ticket deflection, and faster quotes.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "Scientific Instruments & Test-and-Measurement | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/instrumentation"
description: "Purpose-built AI for scientific instrument and T&M companies. Instant calibration answers, ticket deflection, and faster quotes."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Demo conversion ≥ 10 %",
"Scroll depth ≥ 75 %"
]
devNotes: {
images: "Hero & spotlights in AVIF/WebP; PNG fallback",
demoWidget: "NEXT_PUBLIC_INSTRUMENT_DEMO_ID; 40 QPM cap",
ariaRoles: "Stats role=\"status\"; chat aria-label=\"Instrumentation demo chat\""
}
---
layout: "text-left-animation-right"
h1: "Precise answers for precision instruments."
subhead: "ept AI transforms calibration certificates, application notes, and service logs into instant, source-cited answers—accelerating experiments, repairs, and revenue."
imageBrief: "Animated oscilloscope / spectrum analyzer interface. Overlaid chat bubbles: 'Calibrate phase noise on MXA N9020B', 'Firmware v5.3 compatibility?', 'ISO 17025 cert download'."
imagePath: "/images/pages/precision-instruments-hero.svg"
altText: "Oscilloscope-style signal analysis with an AI-generated calibration report"
ctaPrimary: "Talk to Instrument Experts"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Read the whitepaper"
ctaSecondaryUrl: "/whitepapers/tech-product-ai-embedded.html"
---
backgroundColor: "transparent"
eyebrow: "Three gaps. Three mechanisms."
title: "Where instrumentation sales & support breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Calibration & docs",
problem: {
heading: "Calibration bottlenecks and buried docs stall projects",
text: "Engineers dig through PDFs, while support queues balloon after every firmware drop."
},
solution: {
heading: "Cut calibration turnaround and deflect tickets",
text: "Sales, Support, and Team AI deliver spec-level answers in seconds — keeping labs productive and customers loyal.",
url: "/solutions/ai-applications-engineer",
proof: {
customer: "Instrumentation benchmark",
metric: "45%",
unit: "ticket deflection",
detail: "with 35% faster calibration turnaround"
}
}
},
{
theme: "Post-sale complexity",
problem: {
heading: "Post-sale complexity strains customer trust",
text: "Troubleshooting device behavior or validating integrations often turns into a time-consuming back-and-forth."
},
solution: {
heading: "Boost CSAT with guided AI support for every user",
text: "ept AI delivers consistent, context-aware guidance across channels — improving satisfaction and reducing churn.",
url: "/solutions/ai-product-channel"
}
},
{
theme: "Regulatory traceability",
problem: {
heading: "Regulatory reviews stall on missing traceability",
text: "Teams scramble to find the right document versions, validation steps, or usage logs — under pressure."
},
solution: {
heading: "AI delivers instant traceability across the product lifecycle",
text: "With connected pipelines and natural language recall, ept AI cuts prep time and de-risks every audit.",
url: "/solutions/application-room"
}
}
]
---
title: "Scientific Instrument Use-Case Spotlights"
spotlights: [
{
colSize: "6",
title: "Lab & Test Engineers",
imagePosition: bottom,
imageBrief: "Lab engineer using AI to get instant application note references for test procedures.",
imagePath: "",
copy: "Ask 'What's the recommended pre-amp setting for 1 GHz noise floor?'—Team AI cites the application note section instantly."
},
{
colSize: "6",
title: "Field Service & Calibration Techs",
imagePosition: bottom,
imageBrief: "Field service tech using AI to generate step-by-step calibration procedures.",
imagePath: "",
copy: "Support AI auto-generates step-by-step calibration procedures, including torque values and traceability cert links—shrinking MTTR."
},
{
colSize: "12",
title: "Instrument Sales Specialists",
imagePosition: right,
imageBrief: "Sales specialist using AI Deal Room to access compliance certificates and specifications.",
imagePath: "",
copy: "Deal Room auto-pulls ISO 17025 certificates, RF spec sheets, and competitor deltas—shortening quote cycles for custom racks."
}
]
---
title: "Customer Proof"
variant: "proof"
logos: [
{ name: "Quantum-Computing Lab Supplier", text: "Instrument downtime cut by 38% after Support AI rollout." },
{ name: "RF-Test OEM", text: "Custom-rack quote cycle dropped from 12 days to 7 — Deal Room nails configs." },
{ name: "Chromatography Leader", text: "Support tickets per instrument fell 42% within 90 days." }
]
---
title: "ept AI Solutions for Instrumentation"
solutions: [
{
colSize: "6",
title: "Deal Room",
text: "Auto-generates compliance packs (ISO 17025, CE) and SCPI command guides mid-deal.",
learnMoreUrl: "/solutions/deal-room",
imagePath: "/images/pages/semi/solution_1.png"
},
{
colSize: "6",
title: "AI Product Channel",
text: "Virtual agent embedded in support portal answers calibration, firmware, and spare-part queries; pushes low-confidence drafts to Ticketing System.",
learnMoreUrl: "/solutions/ai-product-channel",
imagePath: "/images/pages/semi/solution_2.png"
},
{
colSize: "4",
title: "AI Applications Engineer",
text: "Internal chat and ticketing support grounded in your calibration docs, app notes, and reference designs. Cited answers for SCPI syntax, firmware compatibility, and configuration questions.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "4",
title: "Application Room",
text: "Product intelligence from customer inquiries, calibration requests, and field service data — structured for PMs and product marketing to guide instrument strategy.",
learnMoreUrl: "/solutions/application-room"
},
{
colSize: "4",
class: "only-image",
imagePath: "/images/pages/semi/solution_3.png"
}
]
---
title: "Compliance & Quality"
backgroundColor: "transparent"
items: [
{ title: "SOC 2 Type II", description: "Audited security controls and data protection." },
{ title: "GDPR", description: "General Data Protection Regulation for EU data privacy." },
{ title: "IP Protection", description: "Your data never trains our models, ensuring your competitive advantage stays yours." }
]
footerText: "Traceable audit logs and role-based access protect IP and calibration integrity."
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
prompt: "SCPI command for bandwidth sweep on model 34465A?"
label: "Ask an Instrument Expert"
description: "Try our AI with a real instrument question"
dataEvent: "instrument-demo-query"
ariaLabel: "Instrumentation demo chat"
---
backgroundImage: "/images/feature_highlight.png"
headline: "Deliver spec-grade answers at lab speed."
copy: "Book a 30-min session with our instrument specialists."
ctaText: "Talk to Instrument Experts"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
dataEvent: "cta-talk-to-sales-instrument"
```
---
## AI for Medical Device OEM Sales | ept AI
- Route: `/industries/medical`
- URL: https://www.ept.ai/industries/medical/
- Description: Purpose-built AI for medical device and component OEM suppliers. Documentation-grounded answers, compliance Q&A at scale, and OEM account intelligence.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Medical Device OEM Sales | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/medical"
description: "Purpose-built AI for medical device and component OEM suppliers. Documentation-grounded answers, compliance Q&A at scale, and OEM account intelligence."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests >= 8% of visitors",
"Avg scroll depth >= 75%"
]
devNotes: {
images: "No stock imagery. Compliance standards and documentation grounding as credibility signals.",
ariaRoles: "Stat grid & benefits labelled for assistive tech",
accentColor: "Green (#0E7A52) consistent with medical card in Industries Overview"
}
---
theme: "light"
layout: "text-left-animation-right"
h1: "Medical device sales requires more than product knowledge. It requires documentation you can stand behind."
subhead: "Clinical and procurement buyers need precise technical answers — and compliance documentation to back them up. ept AI grounds every answer in your verified product and regulatory documentation. Not generic AI output."
imageBrief: "Product category panel showing medical device complexity: surgical instruments with ISO 10993 biocompatibility tags, imaging components with IEC 60601-1 compliance badges, diagnostic sensors with IVD Regulation callouts, patient monitoring with alarm standard references, implantable components with ISO 13485 certification markers."
imagePath: "/images/pages/medical.png"
altText: "Medical device product categories with compliance and specification complexity signals"
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where medical device sales breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Verified discovery",
problem: {
heading: "Biomedical engineers need verified documentation, not search results",
text: "A biomedical engineer evaluating your sensor for a patient monitoring platform needs IEC 60601-1 compliance status, EMC test reports, operating temperature range, and connector compatibility. They need this from your verified documentation — not a summary that might be out of date or wrong."
},
solution: {
heading: "AI Product Channel delivers documentation-grounded product discovery",
text: "Natural language product discovery grounded in Product Living Profiles built from your verified documentation — datasheets, compliance declarations, test reports, application notes. Every answer is cited to its source. Your customers' engineers get the right answer, with the documentation reference, 24/7.",
url: "/solutions/ai-product-channel"
}
},
{
theme: "Compliance Q&A",
problem: {
heading: "Clinical specialists are the bottleneck for compliance and specification Q&A",
text: "Your clinical specialists and application engineers field the same compliance and specification questions repeatedly: sterilization compatibility, biocompatibility classification, IEC standard applicability, ISO 13485 QMS documentation. These questions have known answers — buried in your documentation — and they consume specialist time that should go to complex evaluations."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical and compliance questions",
text: "First-layer technical and compliance question handling across chat and ticketing — grounded in your Product and Application Living Profiles, including your regulatory documentation. 100+ quality checks per answer. Source citations on every response. Escalation to your specialists only when genuinely needed.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "OEM relationships",
problem: {
heading: "OEM account intelligence lives in individual brains, not your CRM",
text: "Your OEM medical equipment customers are multi-year, multi-stakeholder relationships involving engineering, regulatory, procurement, and clinical leadership — each with different information needs and timelines. The intelligence that grows those accounts does not live in your CRM."
},
solution: {
heading: "Deal Room turns OEM relationship knowledge into a company-owned asset",
text: "A live workspace grounded in Customer and Deal Living Profiles — stakeholder maps, product fit across your component line, regulatory context per account, cross-sell signals. Institutional account knowledge that survives rep turnover and keeps multi-year OEM relationships on track.",
url: "/solutions/deal-room"
}
},
{
theme: "Field intelligence",
problem: {
heading: "Product and compliance intelligence from the field stays invisible",
text: "Which compliance questions come up most often in product evaluations? Which product gaps are surfacing in OEM integration discussions? Which competitors are appearing in sensor or imaging evaluations? This signal exists in your deals and support interactions — but no individual specialist sees it in aggregate."
},
solution: {
heading: "Application Room surfaces patterns no individual specialist sees",
text: "Aggregates signals across deals, catalog queries, and support interactions to surface recurring product and compliance gaps. Which application areas are driving most OEM evaluation activity? Which documentation gaps are creating friction? Structured product intelligence for your product marketing and regulatory teams.",
url: "/solutions/application-room"
}
}
]
---
title: "In medical device sales, a wrong answer is not just unhelpful. It is a liability."
subhead: "ept AI answers from your verified datasheets, compliance declarations, and test reports. Every answer cites its source. AI Performance Management runs 100+ quality checks per response before it reaches a buyer."
ctaPrimary: "See how accuracy works"
ctaPrimaryUrl: "/platform/overview"
---
title: "Why accuracy matters more in medical device sales"
subtitle: "Three layers of protection between your documentation and your buyers."
callout: "Your data never trains ept AI models. On-prem deployment available for organizations with strict data residency requirements."
features: [
{
title: "Grounded in your documentation",
description: "Product Living Profiles are built from your verified datasheets, compliance declarations, and test reports. Not public web data. Not generic LLM training corpora. Your documentation, cited in every answer.",
icon: "/images/icons/check.svg"
},
{
title: "100+ quality checks per answer",
description: "AI Performance Management flags inaccuracy, unsupported claims, and documentation drift before answers reach users. Every response is checked against your verified source material.",
icon: "/images/icons/search.svg"
},
{
title: "Source citations on every response",
description: "Every answer links back to the specific document it drew from — datasheet, compliance declaration, test report, application note. Auditable and accountable.",
icon: "/images/icons/target.svg"
}
]
---
title: "Three interfaces. One platform. All grounded in your verified documentation."
solutions: [
{
colSize: "3",
title: "AI Product Channel",
text: "Documentation-grounded product discovery for clinical buyers and OEM engineers. Cited answers from your verified datasheets and compliance records. 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer compliance and technical Q&A across chat and ticketing. Source citations on every response. Escalation to your specialists when genuinely needed.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Deal Room",
text: "Account intelligence for multi-year OEM relationships. Stakeholder maps, product fit, regulatory context, cross-sell signals — maintained by AI.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from clinical buyer feedback, OEM design-in activity, and compliance inquiries — structured for PMs and product marketing to guide medical product strategy.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "Built for medical device enterprise trust"
backgroundColor: "#F3F8FF"
items: [
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. Report available under NDA."
},
{
title: "Your data never trains models",
description: "Customer data is never used to train models, shared across accounts, or retained beyond your contract. Full data isolation by design."
},
{
title: "Private cloud and on-premises deployment",
description: "Deploy in your own cloud environment or on-premises for maximum data sovereignty. Purpose-built for organizations with strict data residency requirements."
},
{
title: "Enterprise SSO and access controls",
description: "SAML-based single sign-on, role-based permissions, and audit logging for every user action."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI looks like for your product catalog and your OEM accounts."
copy: "Every pilot starts with a clear ROI baseline — documentation deflection, specialist time saved, account intelligence surfaced. By week 12 you have quantified results to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Back to Industries"
ctaSecondaryUrl: "/industries/overview"
dataEvent: "cta-medical-pilot"
```
---
## AI for Complex-Product SaaS | ept AI
- Route: `/industries/saas`
- URL: https://www.ept.ai/industries/saas/
- Description: Living Profiles and purpose-built interfaces for infrastructure SaaS, data platforms, and developer tools: deep catalogs, technical buyers, integration complexity, and FAE-scale pre-sales without adding headcount.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Complex-Product SaaS | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/saas"
description: "Living Profiles and purpose-built interfaces for infrastructure SaaS, data platforms, and developer tools: deep catalogs, technical buyers, integration complexity, and FAE-scale pre-sales without adding headcount."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Demo conversion ≥ 10 %",
"Scroll depth ≥ 75 %"
]
devNotes: {
images: "WebP/AVIF hero; PNG fallback",
demoWidget: "NEXT_PUBLIC_SAAS_DEMO_ID; 50 QPM cap",
keyboard: "Chat aria-label=\"SaaS demo chat\"",
ariaRoles: "All stat numbers wrapped with role=\"status\"; chat labelled"
}
---
layout: text-left
h1: "The deepest product surface. The hardest sales. The hardest support."
subhead: "Infrastructure SaaS, data platforms, and technical developer tools share the same challenge as hardware OEMs: deep product catalogs, integration dependencies, technical buyers, and FAE-style pre-sales at scale. ept AI builds Living Profiles and interfaces so every answer is grounded in your real product, pricing, and deployment truth."
imageBrief: "SaaS dashboard animation: show ept AI activities in some way and show a SaaS stats dashboard with the metrics above going in the right direction."
imagePath: "/images/pages/saas.png"
altText: "SaaS UI showing AI improving metrics"
ctaPrimary: "Request a demo"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Read the whitepaper"
ctaSecondaryUrl: "/whitepapers/tech-product-ai-embedded.html"
---
backgroundColor: "transparent"
eyebrow: "Two gaps. One platform."
title: "Where complex-product SaaS breaks down — and how ept AI fixes it"
subtitle: "Each row: the motion that stalls revenue, and how Living Profiles plus purpose-built interfaces close it."
pairs: [
{
theme: "Catalog & integration complexity",
problem: {
heading: "Your product surface is too deep for generic enablement",
text: "API matrices, pricing tiers, deployment topologies, and compliance modes multiply faster than your SEs can document them. Customers stall in evaluation because the right answer lives across Confluence, tickets, and tribal knowledge."
},
solution: {
heading: "Product intelligence your buyers can query — with citations",
text: "AI Product Channel and AI Applications Engineer answer integration, configuration, and catalog questions from Living Profiles — cited back to your docs, tickets, and CRM — so presales scales without diluting accuracy.",
url: "/solutions/ai-product-channel",
proof: {
customer: "SaaS benchmark",
metric: "+40%",
unit: "ticket deflection",
detail: "with cited technical answers"
}
}
},
{
theme: "Technical GTM",
problem: {
heading: "Reps and SEs can't carry the whole truth on every call",
text: "Busy sellers join calls cold — missing stakeholder context, repeating discovery, and losing trust when the specialist isn't in the room."
},
solution: {
heading: "Deal Rooms that brief like your best SE",
text: "Deal Room uses Customer, Deal, and Stakeholder Living Profiles so every call starts with the why, the open risks, and the next best question — grounded in what your systems already know.",
url: "/solutions/deal-room",
proof: {
customer: "SaaS benchmark",
metric: "–55%",
unit: "sales ramp time"
}
}
}
]
---
title: "SaaS Use-Case Spotlights"
spotlights: [
{
colSize: "6",
title: "Sales Development Rep",
imagePosition: bottom,
imageBrief: "Deal Room with AI \"Customer Backgrounder\".",
imagePath: "",
copy: "SDR shows up to meeting knowing about the customer: the people, the company strategy, the news, and the fit."
},
{
colSize: "6",
title: "Support Engineers",
imagePosition: bottom,
imageBrief: "Ticket view with auto‑drafted answer.",
imagePath: "",
copy: "Support AI auto‑sends emails to customer developers who deploy better integrations faster."
},
{
colSize: "12",
title: "Product Managers & Devs",
imagePosition: right,
imageBrief: "Slack thread with @eptai.",
imagePath: "",
copy: "Team AI surfaces edge‑case bugs and nightly suggests KB articles; PMs ship doc updates before release."
}
]
---
title: "ept AI interfaces for complex-product SaaS"
solutions: [
{
colSize: "6",
title: "Deal Room",
text: "Uses product knowledge + CRM + product-usage telemetry to build deal health score and renewal playbooks.",
learnMoreUrl: "/solutions/deal-room",
imagePath: "/images/pages/semi/solution_1.png"
},
{
colSize: "6",
title: "AI Product Channel",
text: "Virtual agent embedded in help center & in‑app widget; routes low‑confidence to Ticket System draft.",
learnMoreUrl: "/solutions/ai-product-channel",
imagePath: "/images/pages/semi/solution_2.png"
},
{
colSize: "4",
title: "AI Applications Engineer",
text: "First-layer technical support across chat and ticketing. Answers onboarding, integration, and configuration questions from Product and Application Living Profiles.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "4",
title: "Application Room",
text: "Product intelligence from usage telemetry, support conversations, and feature requests — structured for PMs and product marketing to prioritize the roadmap.",
learnMoreUrl: "/solutions/application-room"
},
{
colSize: "4",
class: "only-image",
imagePath: "/images/pages/semi/solution_3.png"
}
]
---
title: "Trust, Compliance & Controls"
backgroundColor: "transparent"
items: [
{ title: "SOC 2 Type II", description: "Audited security controls and data protection compliance." },
{ title: "GDPR & CCPA", description: "Privacy compliance for EU and California data protection." },
{ title: "Customer-managed keys", description: "CMK, zero-retention mode, private-cloud deployment options." }
]
footerText: "Our adherance to rigid security standards strengthens your customers confidence."
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
prompt: "What is the ept AI tech stack?"
label: "Ask our AI about our stack"
description: "Try our AI with a question about OUR SaaS"
dataEvent: "saas-demo-query"
ariaLabel: "SaaS demo chat"
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Sell and support complex SaaS with institutional intelligence — not more headcount."
copy: ""
ctaText: "Request a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
dataEvent: "cta-talk-to-sales-saas"
```
---
## Scientific Instruments | ept AI
- Route: `/industries/scientific`
- URL: https://www.ept.ai/industries/scientific/
- Description: Purpose-built AI for scientific instrument OEM sales. Application-specific expertise at every evaluation, without your specialists in the room.
- Products: Deal Room, AI Product Channel, Application Room
- Last modified: 2026-04-23
```markdown
title: "Scientific Instruments | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/scientific"
description: "Purpose-built AI for scientific instrument OEM sales. Application-specific expertise at every evaluation, without your specialists in the room."
products: ["Deal Room", "AI Product Channel", "Application Room"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests ≥ 8% of visitors",
"Avg scroll depth ≥ 75%"
]
devNotes: {
images: "No stock imagery. Specialist knowledge and instrument complexity emphasis.",
ariaRoles: "Stat grid & solution cards labelled for assistive tech"
}
---
layout: "text-left-animation-right"
h1: "Researchers ask deep questions before they buy. Your specialists can't be on every call."
subhead: "Lab equipment. Analytical instruments. Measurement systems. High-value purchases made by technically sophisticated buyers — researchers, lab managers, procurement — who need application-specific answers before they commit. ept AI makes your application specialists' expertise available at every evaluation, without them being in the room."
imagePath: "/images/pages/scientific.png"
altText: "Scientific instrument configuration complexity across mass spectrometry, chromatography, electron microscopy, and spectroscopy"
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where scientific instrument sales breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Application discovery",
problem: {
heading: "Application-specific product discovery is a specialist-only function",
text: "A lab manager evaluating a spectroscopy system for process analytical technology applications needs to match on wavelength range, sampling accessory compatibility, fiber optic options, and software integration with their existing LIMS. A product comparison table doesn't answer that. An application specialist does — but can't be on every dealer demo."
},
solution: {
heading: "AI Product Channel delivers application-specific instrument discovery",
text: "Natural language product discovery grounded in Product and Application Living Profiles — built from your application notes, method briefs, configuration guides, and technical documentation. The dealer or researcher describes the application and gets the right instrument configuration with full technical context, cited to the relevant application note.",
url: "/solutions/ai-product-channel"
}
},
{
theme: "Specialist bandwidth",
problem: {
heading: "Pre-sales technical Q&A compounds across a large dealer network",
text: "Your application specialists field the same deep technical questions repeatedly across evaluations: method transfer feasibility, detection limits for specific matrices, software compatibility, upgrade paths, service contract options. These questions have known answers in your documentation — but answering them takes specialist time."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical Q&A at scale",
text: "First-layer technical Q&A across chat and ticketing — grounded in Product and Application Living Profiles, including your application notes, method briefs, and compatibility matrices. Researchers and dealers get specific, cited answers. Your application specialists focus on the complex, application-development-level questions only they can answer.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "Institutional accounts",
problem: {
heading: "Institutional account intelligence is scattered and perishable",
text: "A university research group, pharmaceutical company, or contract research organization is a multi-year, multi-instrument account. Different labs, different PIs, different procurement cycles, different application areas — but one institutional relationship. The intelligence that grows those accounts is scattered across specialist notes, email threads, and CRM records."
},
solution: {
heading: "Deal Room maintains institutional account knowledge",
text: "A live workspace grounded in Customer and Deal Living Profiles — stakeholder maps, application fit across your instrument line, competitive positioning, cross-sell signals across lab departments. Institutional account knowledge that survives specialist turnover and surfaces cross-sell opportunities across instrument families.",
url: "/solutions/deal-room"
}
},
{
theme: "Portfolio patterns",
problem: {
heading: "Application area patterns stay invisible across your business",
text: "Which application areas — proteomics, environmental monitoring, food safety, battery research — are driving the most evaluation activity across your instrument line right now? Which configuration questions come up most often? Which competitors appear in mass spec evaluations vs. chromatography evaluations? No individual specialist sees this in aggregate."
},
solution: {
heading: "Application Room surfaces product intelligence across your business",
text: "Aggregates signals across deals, catalog queries, and support interactions to surface application-level patterns. Which application areas are growing fastest? Which instrument configurations have recurring documentation gaps? Structured product intelligence for your product marketing and application development teams.",
url: "/solutions/application-room"
}
}
]
---
eyebrow: "The knowledge problem"
theme: "light"
title: "Your application specialists have the knowledge. The challenge is making it available at every evaluation."
subtitle: "In scientific instrument sales, the knowledge that closes evaluations lives in your application specialists — accumulated from years of method development, customer applications, and instrument performance data. That knowledge doesn't scale linearly with headcount. And when a specialist leaves, it walks out the door."
overview: "ept AI builds Application and Product Living Profiles from your documented expertise — application notes, method briefs, configuration guides, technical FAQs, compatibility matrices. That knowledge becomes available at every dealer demo, every researcher inquiry, every post-sale support interaction. Your specialists stop being the bottleneck for questions their documentation can already answer — and every answer cites its source document."
callout: {
stat: ">90%",
label: "Pilot-to-rollout conversion",
secondary: "Liquid Instruments — test and measurement instruments, complex configuration, technically sophisticated buyers"
}
layers: [
{
name: "Specialist Knowledge",
description: "Application notes, method briefs, configuration guides, technical FAQs, and compatibility matrices — the accumulated expertise of your application specialists, documented and structured.",
capabilities: ["Application notes", "Method briefs", "Configuration guides", "Compatibility matrices", "Technical FAQs"],
icon: "/images/icons/brain.svg"
},
{
name: "Living Profiles",
description: "Application and Product Living Profiles built from your documentation. Continuously updated as new application notes, customer interactions, and product configurations are added.",
capabilities: ["Product profiles", "Application profiles", "Customer profiles", "Deal profiles"],
icon: "/images/icons/target.svg"
},
{
name: "Every Evaluation Touchpoint",
description: "Dealer demos, researcher inquiries, post-sale support, institutional account management. Your specialists' expertise available at every touchpoint, without them being in the room.",
capabilities: ["Dealer and distributor support", "Researcher pre-sales Q&A", "Institutional account intelligence", "Application area analytics"],
icon: "/images/icons/zap.svg"
}
]
---
title: "Three interfaces. One platform. All grounded in your application expertise."
solutions: [
{
colSize: "3",
title: "AI Product Channel",
text: "Application-specific instrument discovery for dealers, distributors, and researchers. Cited answers from your application notes and technical documentation. 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer technical and application Q&A across chat and ticketing. Your specialists focus on complex application development. Volume gets handled.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Deal Room",
text: "Account intelligence for multi-instrument institutional relationships. Stakeholder maps, application fit, cross-sell signals across lab departments — maintained by AI.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from researcher inquiries, application note engagement, and dealer feedback — structured for PMs and product marketing to guide instrument strategy.",
learnMoreUrl: "/solutions/application-room"
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI looks like for your application specialists and your dealer network."
copy: "Every pilot starts with a clear ROI baseline — pre-sales Q&A deflection, specialist time saved, evaluation conversion intelligence. By week 12 you have quantified results to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Back to Industries"
ctaSecondaryUrl: "/industries/overview"
dataEvent: "cta-scientific-pilot"
```
---
## AI for Physical Security OEM Sales | ept AI
- Route: `/industries/security`
- URL: https://www.ept.ai/industries/security/
- Description: Purpose-built AI for physical security and surveillance OEM suppliers. Integrator product discovery, channel technical support, and deal intelligence.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Physical Security OEM Sales | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/security"
description: "Purpose-built AI for physical security and surveillance OEM suppliers. Integrator product discovery, channel technical support, and deal intelligence."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests ≥ 8% of visitors",
"Avg scroll depth ≥ 75%"
]
devNotes: {
images: "No stock imagery. Motion match and channel dynamics framing instead of named proof.",
ariaRoles: "Stat grid & solution cards labelled for assistive tech"
}
---
theme: "light"
layout: "text-left-animation-right"
h1: "Your integrators need answers your support team doesn't have time to give."
subhead: "Cameras. Access control. Sensors. Alarm systems. Video management. Your integrators and installers specify, configure, and support complex multi-product systems - and they need product intelligence to do it well. ept AI delivers that knowledge at channel scale, without a manufacturer FAE on every call."
imagePath: "/images/pages/security.png"
altText: "ept AI platform for physical security OEM integrator channel support"
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where physical security hardware sales breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Integrator discovery",
problem: {
heading: "Integrators need to match product to application across dozens of parameters — simultaneously",
text: "An integrator specifying a camera for a retail loss prevention deployment needs to match on resolution, lens FOV, compression format, VMS compatibility, and indoor/outdoor rating — simultaneously. Parametric search returns 40 cameras. They need the right one."
},
solution: {
heading: "AI Product Channel delivers natural language product discovery for integrators",
text: "Grounded in Product and Application Living Profiles. The integrator describes the application and gets the right product with full technical context — compatibility notes, spec comparisons, documentation links — without calling your support team. 24/7, from the job site.",
url: "/solutions/ai-product-channel"
}
},
{
theme: "Channel support load",
problem: {
heading: "Every integrator question that reaches your support team is time you didn't budget for",
text: "Your integrators hit configuration questions, compatibility issues, and installation edge cases constantly. Most of these questions have known answers — buried in your documentation, your support history, and your FAE knowledge base. Your support team is the bottleneck, not the answer."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical questions at channel scale",
text: "First-layer technical support across chat and your ticketing system — grounded in Product and Application Living Profiles. Integration questions, compatibility queries, configuration guidance — handled automatically, with escalation to your team only when genuinely needed.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "Project intel",
problem: {
heading: "Enterprise security project intelligence lives in individual rep brains",
text: "Enterprise security projects — a hospital campus, a transit authority, a multi-site retail chain — involve procurement, facilities, IT, and security operations stakeholders across long sales cycles. The intelligence that wins those deals doesn't live in your CRM."
},
solution: {
heading: "Deal Room turns project intelligence into a company-owned asset",
text: "A live workspace grounded in Customer and Deal Living Profiles — stakeholder maps, competitive positioning, product fit across your full line, cross-sell signals. Pre-call plans in minutes. Institutional memory that survives rep turnover.",
url: "/solutions/deal-room"
}
},
{
theme: "Cross-line patterns",
problem: {
heading: "Cross-sell across product lines stays invisible until it's too late",
text: "A customer buying cameras from you is a natural candidate for your access control line. A customer buying sensors is a candidate for your alarm panel. Cross-sell visibility across multi-product accounts is invisible until a senior rep notices it — usually too late."
},
solution: {
heading: "Application Room surfaces cross-sell patterns no individual rep sees",
text: "Aggregates signals across deals and applications to surface cross-sell patterns. Which accounts are buying cameras but not access control? Which application areas are growing fastest? Structured intelligence, not rep intuition.",
url: "/solutions/application-room"
}
}
]
---
title: "The channel knowledge delivery problem is structural. So is the solution."
subhead: "Physical security is complex-product sales: multi-vendor design, integrator channels, and pre-sales at scale. When your knowledge is not on every call, integrators pick easier competitors. AI Product Channel deploys in weeks; >90% of pilots convert to rollout."
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
title: "Three interfaces. One platform. All drawing on the same Living Profiles."
solutions: [
{
colSize: "3",
title: "AI Product Channel",
text: "Natural language product discovery for integrators and installers. The right camera, sensor, or access control product for the application, with full technical context, 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer technical support across chat and ticketing. Your integrator channel gets answers to compatibility, configuration, and installation questions. Your support team stays focused on complex issues.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Deal Room",
text: "Account intelligence for enterprise security projects. Stakeholder maps, competitive positioning, cross-sell signals across your full product line - maintained by AI, not manual CRM updates.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from integrator inquiries, project specifications, and field feedback — structured for PMs and product marketing to guide security product strategy.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "Built for enterprise trust"
backgroundColor: "#F3F8FF"
items: [
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. Report available under NDA."
},
{
title: "Your data stays yours",
description: "Customer data is never used to train models, shared across accounts, or retained beyond your contract. Full data isolation by design."
},
{
title: "Enterprise SSO and access controls",
description: "SAML-based single sign-on, role-based permissions, and audit logging for every user action."
},
{
title: "Private cloud deployment available",
description: "Deploy in your own cloud environment for maximum data sovereignty. On-premises options for regulated industries."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI looks like for your integrator channel."
copy: "Every pilot starts with a clear ROI baseline - catalog deflection, support ticket reduction, deal intelligence surfaced. By week 12 you have quantified results to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Back to Industries"
ctaSecondaryUrl: "/industries/overview"
dataEvent: "cta-security-pilot"
```
---
## AI for Semiconductor & Electronics OEM Sales | ept AI
- Route: `/industries/semiconductor`
- URL: https://www.ept.ai/industries/semiconductor/
- Description: Purpose-built AI for semiconductor OEM sales. Design win intelligence, FAE-scale support, and catalog discovery. Proven at scale.
- Products: Deal Room, AI Product Channel, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI for Semiconductor & Electronics OEM Sales | ept AI"
lastUpdated: "2026-04-23"
route: "/industries/semiconductor"
description: "Purpose-built AI for semiconductor OEM sales. Design win intelligence, FAE-scale support, and catalog discovery. Proven at scale."
products: ["Deal Room", "AI Product Channel", "AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
"Pilot requests ≥ 8% of visitors",
"Avg scroll depth ≥ 75%"
]
devNotes: {
images: "No stock imagery. Proof numbers and customer names instead.",
ariaRoles: "Stat grid & logo band labelled for assistive tech"
}
---
layout: "text-left-animation-right"
h1: "Built for the way semiconductor and electronics OEMs actually sell."
subhead: "Design wins take months. FAEs are the bottleneck. Your customers' engineers expect answers your catalog can't give them. ept AI is built around exactly these constraints — not configured for them."
imagePath: "/images/pages/semiconductor.png"
altText: "ept AI platform for semiconductor sales teams"
ctaPrimary: "Request a pilot"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
title: "Trusted by semiconductor and electronics leaders"
logos: [
{ name: "TDK", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Novanta", logo: "/images/brand-icons/novanta.svg" }
]
---
backgroundColor: "transparent"
eyebrow: "Four gaps. Four mechanisms."
title: "Where semiconductor sales breaks — and how ept AI rebuilds it"
subtitle: "Each row: the measurable before-state, the problem it creates, and the ept AI mechanism that closes it."
pairs: [
{
theme: "Deal context",
problem: {
heading: "Design win pipelines span years with no single source of truth",
text: "Design win pipelines span years, multiple stakeholders, and multiple business units. No CRM captures what actually matters."
},
solution: {
heading: "Deal Rooms built on Living Profiles give every rep full context",
text: "Customer and Deal Living Profiles maintain stakeholder maps, application fit, competitive threats, and cross-sell signals — updated by AI, not by manual entry.",
url: "/solutions/deal-room",
proof: {
customer: "Novanta",
metric: "430",
unit: "cross-sell signals",
detail: "from 30 Deal Rooms in 10 weeks"
}
}
},
{
theme: "FAE bandwidth",
problem: {
heading: "FAE bandwidth caps how many customers you can support at depth",
text: "Your FAEs are the ceiling on how many customers you can support at depth. Demand always outpaces supply."
},
solution: {
heading: "AI Applications Engineer handles first-layer technical questions",
text: "Grounded in your Product and Application Living Profiles — not generic LLM output. Handles questions across internal chat and customer ticketing. FAEs focus on the problems only they can solve.",
url: "/solutions/ai-applications-engineer"
}
},
{
theme: "Catalog navigation",
problem: {
heading: "A 135,000-part catalog is useless if engineers can't navigate it",
text: "Parametric search isn't enough. Your customers' engineers give up, call a FAE, or go to a competitor with a better digital experience."
},
solution: {
heading: "AI Product Channel delivers natural language product discovery",
text: "Grounded in Product and Application Living Profiles. Full technical context, 24/7 — no FAE required.",
url: "/solutions/ai-product-channel",
proof: {
customer: "TDK Lambda",
metric: "135,000",
unit: "parts",
detail: "answered 24/7 with full technical context"
}
}
},
{
theme: "Hidden signals",
problem: {
heading: "Cross-sell signals across multi-BU accounts stay invisible",
text: "Cross-sell and upsell signals across multi-BU accounts are invisible until a senior rep notices them."
},
solution: {
heading: "Application Rooms surface patterns no individual rep sees",
text: "Aggregate signals across deals, applications, and catalog queries. Company-owned intelligence, not individual memory.",
url: "/solutions/application-room"
}
}
]
---
title: "Solutions built for your team"
solutions: [
{
colSize: "3",
title: "Deal Room",
text: "Customer and Deal Living Profiles with cross-sell signals, stakeholder maps, and competitive intelligence — updated by AI, not manual entry.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "3",
title: "AI Product Channel",
text: "Natural language product discovery grounded in your Product and Application Living Profiles. 135,000 parts answered 24/7.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "3",
title: "AI Applications Engineer",
text: "First-layer technical support grounded in your knowledge base. Your FAEs focus on the problems only they can solve.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "3",
title: "Application Room",
text: "Product intelligence from deals, catalog queries, and customer interactions — structured for PMs and product marketers to drive roadmap decisions.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "Built for enterprise trust"
backgroundColor: "#F3F8FF"
items: [
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. Report available under NDA."
},
{
title: "Your data stays yours",
description: "Customer data is never used to train models, shared across accounts, or retained beyond your contract. Full data isolation by design."
},
{
title: "Enterprise SSO and access controls",
description: "SAML-based single sign-on, role-based permissions, and audit logging for every user action."
},
{
title: "Private cloud deployment available",
description: "Deploy in your own cloud environment for maximum data sovereignty. On-premises options for regulated industries."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what ept AI finds in your accounts."
copy: "Every pilot starts with a clear ROI baseline. By week 12 you have quantified results — cross-sell signals, time saved, catalog deflection — to have confidence in the value to your organization."
ctaText: "Request a pilot"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the platform"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-semiconductor-pilot"
```
---
## Application Room for Industrial Automation | ept AI
- Route: `/market-room/industrial-automation`
- URL: https://www.ept.ai/market-room/industrial-automation/
- Description: Application Room builds market intelligence workspaces for industrial automation teams entering new verticals, applications, and segments.
- Products: Application Room
- Last modified: 2026-05-26
```markdown
title: "Application Room for Industrial Automation | ept AI"
lastUpdated: "2026-05-26"
route: "/market-room/industrial-automation"
description: "Application Room builds market intelligence workspaces for industrial automation teams entering new verticals, applications, and segments."
products: ["Application Room"]
owner: "rob@ept.ai"
kpis: [
"Demo requests >= 8% of visitors",
"Avg scroll depth >= 75%"
]
---
layout: "text-left-animation-right"
theme: "light"
h1: "Your next market won't find you."
subhead: "The automation markets that built your business are being redrawn. New industries are ready to adopt what you make, but they do not speak your language yet. Application Room helps your team understand, prioritize, and enter those markets before the window closes."
imagePath: "/images/pages/business-development-hero.svg"
altText: "Application Room workspace mapping emerging industrial automation markets, prospects, and deal context"
ctaPrimary: "Book a demo"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the industrial page"
ctaSecondaryUrl: "/industries/industrial"
embeddedMetrics: [
{ metric: "Market workspace built live", result: "30 min", product: "Application Room", url: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo" },
{ metric: "From market to deal room", result: "1 action", product: "Deal Room", url: "/solutions/deal-room" },
{ metric: "Shared across the team", result: "4 teams", product: "Sales + PM + BD + leadership", url: "/solutions/application-room" }
]
---
title: "Three forces reshaping your landscape"
subtitle: "Industrial automation growth is moving away from the markets and channels that used to make expansion predictable."
features: [
{
title: "01 - Your core markets are commoditizing",
description: "Automotive and semiconductor defined industrial automation for decades, but EV transition, market restructuring, and lower-cost competitors are changing the growth profile.",
benefits: [
"Customers you have are not the growth story they were",
"Precision alone no longer protects every market",
"Product teams need a view beyond historical demand"
],
icon: "/images/icons/trending-up.svg"
},
{
title: "02 - New verticals are ready but unreachable",
description: "Food and beverage, pharma manufacturing, agriculture, logistics, and healthcare are ready for automation, but many lack the integrators, buying language, and application knowledge your sales motion assumes.",
benefits: [
"New buyers do not know what to buy",
"Your team may not know how to open the conversation",
"Application language matters before product language"
],
icon: "/images/icons/target.svg"
},
{
title: "03 - AI is creating applications that did not exist",
description: "Quality inspection, autonomous material handling, process optimization, and adaptive assembly are being defined right now by customers who may not know you exist.",
benefits: [
"The first credible vendor often owns the application",
"Waiting turns a beachhead into a displacement fight",
"The next two years decide who gets positioned first"
],
icon: "/images/icons/search.svg"
}
]
---
title: "Market intelligence in 30 minutes. Not three months."
subhead: "Application Room is a persistent, AI-built market intelligence workspace organized around a segment, application, or vertical you want to understand or enter."
ctaPrimary: "See it built live"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
---
title: "What the room gives your team"
subtitle: "You define the target: pharmaceutical aseptic filling, autonomous agricultural equipment, logistics sortation, or AI-driven visual inspection. Application Room builds the working picture."
benefits: [
{
icon: "/images/icons/search.svg",
title: "Market landscape in 30 minutes",
description: "Trends, competitors, customer segments, and regulatory pressures assembled from public sources, patent filings, and your internal content."
},
{
icon: "/images/icons/target.svg",
title: "Prospect identification and outreach",
description: "Find the companies most likely to need what you sell, the right people to contact, and outreach grounded in technical context."
},
{
icon: "/images/icons/trending-up.svg",
title: "Shared across the full team",
description: "Sales, product management, business development, and leadership work from the same current picture instead of separate briefings."
},
{
icon: "/images/icons/zap.svg",
title: "Connected to your deals",
description: "Market context informs every pursuit, and what your team learns in deal rooms enriches the market picture over time."
},
{
icon: "/images/icons/shield.svg",
title: "Gets smarter with your data",
description: "Upload research, roadmaps, competitive intelligence, or customer insights so the room becomes company-specific and private."
}
]
---
title: "Four situations your team faces every week"
subtitle: "Application Room turns scattered market questions into a shared workspace your commercial team can use immediately."
stories: [
{
useCase: "Situation 01",
title: "New market entry",
scenario: "Your motion control technology fits pharmaceutical filling lines or your machine vision system fits food processing, but your team lacks the language, contacts, and application depth to open the conversation credibly.",
solutionLabel: "With Application Room",
solution: "Build the segment room and get the landscape, key OEMs and integrators, regulatory context, technology shifts, and a prioritized company list.",
outcome: "From months of groundwork to a credible market entry position in one session.",
icon: "target"
},
{
useCase: "Situation 02",
title: "Trade show and event preparation",
scenario: "ProMat, PackExpo, Automate: hundreds of potential conversations and only a few days to have them. Without preparation, your team defaults to the relationships it already has.",
solutionLabel: "With Application Room",
solution: "Upload the exhibitor list and conference program, then build rooms for the segments most relevant to the show.",
outcome: "Everyone attending walks in with the same prioritized target list.",
icon: "search"
},
{
useCase: "Situation 03",
title: "Capitalizing on an unexpected win",
scenario: "You won a deal in a market you did not come from. It felt like an outlier, but it may be a pattern your historical market map does not show.",
solutionLabel: "With Application Room",
solution: "Build the segment room, surface similar companies, identify the right people, and draft outreach grounded in why the first deal worked.",
outcome: "The outlier becomes a beachhead and the beachhead becomes a repeatable motion.",
icon: "trending-up"
},
{
useCase: "Situation 04",
title: "Cross-functional alignment",
scenario: "Sales is pursuing known accounts, product is roadmap planning from familiar markets, BD is chasing new opportunities, and leadership is allocating resources without one current picture.",
solutionLabel: "With Application Room",
solution: "Put sales, product, BD, and leadership in the same market workspace, updated as the market changes and accessible when decisions are being made.",
outcome: "One source of truth. Every function aligned around the same opportunity.",
icon: "users"
}
]
---
title: "From legwork to strategy."
quotes: [
{
quote: "Instead of doing the legwork of figuring out who to talk to, you're figuring out what to say to them. Instead of figuring out what the trends are, you're figuring out how to use them.",
author: "Rob Conant",
title: "Co-Founder",
company: "ept AI",
tag: "Application Room"
}
]
---
eyebrow: "How it works"
title: "From conversation to intelligence in four steps"
subtitle: "Application Room starts with a market question and turns it into a workspace your team can use for research, targeting, and deal creation."
steps: [
{
id: "define",
meta: "Step 01",
title: "Define the market",
description: "Describe the application, segment, or vertical you want to understand: pharmaceutical filling equipment, autonomous agricultural sprayers, or AI visual inspection for EV battery manufacturing."
},
{
id: "build",
meta: "Step 02",
title: "The room builds itself",
description: "AI researches market trends, competitive landscape, regulatory environment, key players, emerging technologies, and prospects. The room is ready within 30 minutes."
},
{
id: "share",
meta: "Step 03",
title: "Your team works from it",
description: "Share the room with sales, product management, business development, and leadership so everyone can ask questions, contribute knowledge, and act from the same intelligence."
},
{
id: "deals",
meta: "Step 04",
title: "Deals flow from it",
description: "Identify a target in the room and generate a deal room in one action, pre-loaded with application context, prospect profile, and suggested stakeholders.",
cta: { label: "Book a demo", href: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo" }
}
]
---
backgroundColor: "#164192"
headline: "See it built for your market."
copy: "In a 30-minute session, we will build an Application Room live for a segment you are actively pursuing or considering. You leave with a working workspace, not a slide deck about one."
ctaText: "Book a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Explore industrial automation"
ctaSecondaryUrl: "/industries/industrial"
subNote: "No commitment. No sales pitch before you have seen it work."
dataEvent: "cta-application-room-industrial-automation-demo"
```
---
## Platform Overview for OEM Supplier AI Systems | ept AI
- Route: `/platform`
- URL: https://www.ept.ai/platform/
- Description: ept AI connects CRM, ERP, product, and communications data into Living Profiles and delivers intelligence through purpose-built interfaces.
- Products: Core Platform, Deal Room, AI Product Channel, AI Applications Engineer, Application Room
- Last modified: 2026-04-23
```markdown
title: "Platform Overview for OEM Supplier AI Systems | ept AI"
lastUpdated: "2026-04-23"
route: "/platform/overview"
description: "ept AI connects CRM, ERP, product, and communications data into Living Profiles and delivers intelligence through purpose-built interfaces."
products: ["Core Platform", "Deal Room", "AI Product Channel", "AI Applications Engineer", "Application Room"]
owner: "rob@ept.ai"
kpis: [
"Six Living Profile types maintained continuously",
"Four purpose-built interfaces for teams and systems",
"Private cloud and on-premises deployment available",
"Production deployments measured in weeks, not quarters"
]
devNotes: {
ogImage: "/assets/og/platform-overview.png",
twitterCard: "summary_large_image",
stickyTopBar: "Schedule a technical review",
personaTargets: "IT teams, platform teams, technical sales engineers, enterprise architects"
}
---
layout: "text-left-animation-right"
h1: "The Agentic Sales Platform for companies that sell complex products."
subhead: "Connecting product catalog, CRM, deals, and public data into Living Profiles delivered to your sales & marketing team and your customers."
imageBrief: "A clean data-flow diagram showing source systems feeding a central ept AI ingestion layer, then branching into structured intelligence outputs."
imagePath: "/images/pages/platform-overview-hero.svg"
altText: "ept AI platform hub connected to Deal Room, Application Room, AI Product Channel, and AI Applications Engineer"
ctaSecondary: "Schedule a technical review"
ctaSecondaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
embeddedBadges: [
"Customizable ontology",
"Drives new revenue",
"Extends your CRM investment"
]
---
title: "Trusted by OEM suppliers"
logos: [
{ name: "TDK Lambda", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Novanta", logo: "/images/brand-icons/novanta.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Liquid Instruments", logo: "/images/brand-icons/liquid_instruments.png" },
{ name: "EG4", logo: "/images/brand-icons/eg4.png" }
]
---
title: "One system. Three layers. Compounding value."
subtitle: "ept AI is built as a connected system: continuously updated knowledge, industry-specific skills, and purpose-built interfaces. Each layer compounds the next."
layers: [
{
name: "Knowledge",
role: "Continuously updated",
description: "Living Profiles keep your product, customer, application, stakeholder, deal, and competitive context structured and current. Updated automatically by AI agents — no manual data entry. Gets richer the more your team works as your business generates new data.",
accent: "#175CD3"
},
{
name: "Skills",
role: "Reasoning on top",
description: "Industry-specific AI expertise: semiconductor selling, parametric product discovery, stakeholder intelligence, technical support, competitive intelligence, and content generation — all tuned to the complex product sales motion, turning Living Profiles into account plans, product matches, competitive guidance, and technical answers grounded in your actual data.",
accent: "#D97706"
},
{
name: "Interfaces",
role: "Delivered to users",
description: "Deal Room, AI Product Channel, AI Applications Engineer, and Application Room package the same knowledge and skills for the exact workflow each team or customer needs.",
accent: "#0D9488"
}
]
pillBar: {
label: "Living Profiles",
pills: ["Product", "Customer", "Application", "Stakeholder", "Deal", "Competitor"]
}
---
eyebrow: "Why profiles matter"
title: "Your Living Profiles are yours. Forever."
subtitle: "After 12 months in production, your Living Profiles are not a tool — they're an asset your competitors cannot replicate by deploying generic AI next year."
valueProps: [
{
tag: "Owned",
visual: "seal",
title: "Company-owned IP",
description: "Your Living Profiles are proprietary to your business and stay with you — always. The moat is the Profiles: structured intelligence that compounds in your environment, not in a generic chat product.",
benefits: [
"Not a vendor dependency. You own the intelligence ept AI generates.",
"Export your profiles at any time. No lock-in."
]
},
{
tag: "Compounding",
visual: "growth",
title: "Compounds with every interaction",
description: "Every deal, every support ticket, every catalog query enriches the profiles you own — automatically, without manual data entry.",
benefits: [
"Month over month, your intelligence layer deepens.",
"The longer you run, the wider the moat between you and competitors using off-the-shelf AI."
],
metrics: ["12-month moat"]
},
{
tag: "Defensible",
visual: "moat",
title: "Impossible to replicate with generic AI",
description: "ChatGPT doesn't know your customers, your products, or your competitive landscape the way Living Profiles do.",
benefits: [
"Your profiles encode deep, contextual knowledge unique to your business.",
"Generic AI cannot copy a year of your team's validated signals overnight."
]
}
]
---
title: "What ept AI connects to"
subtitle: "ept AI ingests structured and unstructured data from the systems your team already uses. No rip-and-replace. It works alongside your existing stack."
integrations: [
{
category: "CRM & sales",
items: [
{ name: "Salesforce", description: "Deal data, account history, contact records, and activity logs" },
{ name: "HubSpot", description: "Pipeline context, account records, contacts, and rep activity" },
{ name: "Microsoft Dynamics 365", description: "Dynamics 365 Sales CRM: opportunity history, account context, and stakeholder records" },
{ name: "Seismic", description: "Sales enablement assets, collateral, and content performance" },
{ name: "Highspot", description: "Enablement content, playbooks, and buyer-facing materials" }
]
},
{
category: "Support & ticketing",
items: [
{ name: "Zendesk", description: "Technical inquiries, resolution history, and failure patterns" },
{ name: "Jira Service Management", description: "Escalations, engineering handoffs, and issue history" },
{ name: "ServiceNow", description: "Support workflows, service records, and operational context" },
{ name: "HubSpot", description: "Service Hub tickets, customer context, and resolution history" }
]
},
{
category: "Product & catalog",
items: [
{ name: "Product databases", icon: "/images/icons/integrations/database.svg", description: "Catalog structure, part hierarchies, and pricing inputs" },
{ name: "Datasheets", icon: "/images/icons/integrations/document.svg", description: "Electrical, thermal, and packaging specifications by part" },
{ name: "Application notes", icon: "/images/icons/integrations/document.svg", description: "Reference designs, implementation guidance, and design constraints" },
{ name: "Parametric specs", icon: "/images/icons/integrations/document.svg", description: "Structured product attributes for search, comparison, and matching" }
]
},
{
category: "Content",
items: [
{ name: "Google Drive", description: "Docs, Sheets, Slides, and shared folders" },
{ name: "SharePoint", description: "Team sites, document libraries, and lists" },
{ name: "OneDrive", description: "Personal and shared files across Microsoft 365" },
{ name: "Box", description: "Secure cloud content, shared folders, and collaboration spaces" },
{ name: "Dropbox", description: "Shared folders, team files, and linked assets" },
{ name: "Confluence", description: "Wiki pages, spaces, and team documentation" },
{ name: "Foswiki", description: "Self-hosted wiki spaces and legacy documentation" },
{ name: "Azure Blob Storage", description: "Object storage containers, documents, and archival data" },
{ name: "AWS S3", description: "Object storage buckets, data lakes, and static assets" },
{ name: "YouTube", description: "Channel videos, transcripts, and product training content" }
]
},
{
category: "Code repositories",
items: [
{ name: "GitHub", description: "Repositories, issues, pull requests, and release context" },
{ name: "GitLab", description: "Repositories, issues, merge requests, and pipeline context" }
]
},
{
category: "Call transcripts",
items: [
{ name: "Fireflies", description: "Meeting recordings, transcripts, summaries, and action items" },
{ name: "Fathom", description: "AI-generated meeting notes, highlights, and follow-ups" },
{ name: "Microsoft Teams", description: "Teams meeting recordings and transcript content" }
]
},
{
category: "Chat",
items: [
{ name: "Slack", description: "Team channels, threads, and shared tribal knowledge" },
{ name: "Microsoft Teams", description: "Teams channels, chats, and shared project context" },
{ name: "Google Chat", description: "Google Workspace spaces, threads, and conversations" }
]
},
{
category: "Communications",
items: [
{ name: "Outlook", description: "Email threads, calendar invites, and attached context" },
{ name: "Gmail", description: "Email threads, labels, and account correspondence" }
]
},
{
category: "Community forums",
items: [
{ name: "Khoros", description: "Community forums, peer discussions, and self-service knowledge" },
{ name: "Discourse", description: "Open community forums, threads, and member-contributed content" }
]
},
{
category: "Competitive intelligence",
items: [
{ name: "Web sources", icon: "/images/icons/integrations/globe.svg", description: "Public product pages, launches, positioning, and competitor messaging" },
{ name: "Win/loss data", icon: "/images/icons/integrations/analytics.svg", description: "Opportunity outcomes and the reasons behind them" },
{ name: "Displacement records", icon: "/images/icons/integrations/analytics.svg", description: "Known competitive replacements by account, deal, and part" }
]
},
{
category: "AI",
items: [
{ name: "ChatGPT", description: "Custom GPTs and prompt context used across your teams" },
{ name: "Claude", description: "Projects, prompt context, and shared Claude workspaces" },
{ name: "Microsoft Copilot", description: "Copilot prompts, chats, and Microsoft 365 enrichment" }
]
},
{
category: "Identity & SSO",
items: [
{ name: "Microsoft Entra ID", description: "SAML and OIDC single sign-on, group-based access, and SCIM provisioning" },
{ name: "Okta", description: "SAML and OIDC single sign-on, group mapping, and automated user lifecycle" },
{ name: "Ping Identity", description: "PingOne and PingFederate SSO, federated identity, and access policy" },
{ name: "Google Workspace", description: "SAML single sign-on, directory sync, and group-based access control" },
{ name: "Auth0", description: "OIDC and SAML single sign-on, role-based access, and user provisioning" }
]
},
{
category: "Other",
items: [
{ name: "REST API", icon: "/images/icons/integrations/api.svg", description: "Programmatic ingestion for proprietary internal systems" },
{ name: "Webhooks", icon: "/images/icons/integrations/api.svg", description: "Event-based updates for near-real-time profile maintenance" },
{ name: "MCP Servers", description: "Any system exposed via the Model Context Protocol" }
]
}
]
footerText: "Full integration documentation: docs.ept.ai"
---
title: "What implementation actually looks like"
subtitle: "ept AI is designed to reach production within weeks, not quarters. Hover a phase for detail."
journey: [
{
phase: "Connect",
useCase: "Data source connections and initial ingestion",
description: "CRM access via read-only API connection, product catalog export in CSV, XML, or API form, and email connections established. Living Profile population begins immediately upon data connection.",
timeline: "Week 1-2",
weekStart: 1,
weekEnd: 2,
impact: "Living Profile population starts immediately"
},
{
phase: "First value",
useCase: "Living Profile population and first Deal Rooms live",
description: "Living Profiles populated for priority accounts. First Deal Rooms configured and delivered to your sales team. Product catalog indexed and structured.",
timeline: "Week 2-3",
weekStart: 2,
weekEnd: 3,
impact: "Deal Rooms for top accounts in ~2 weeks"
},
{
phase: "Calibrate",
useCase: "Skills calibration and interface configuration",
description: "Industry skills calibrated to your product catalog and account data. AI Product Channel enters staging. Historical order data accelerates Customer Profiles if available.",
timeline: "Week 4-6",
weekStart: 4,
weekEnd: 6,
impact: "AI Product Channel in staging within ~3 weeks"
},
{
phase: "Production",
useCase: "Full production rollout with measurable ROI signals",
description: "Full production rollout across all interfaces. Ongoing feedback on live workflows — not a full-time implementation team. No custom model training required.",
timeline: "Week 8-12",
weekStart: 8,
weekEnd: 12,
impact: "Production-ready with measurable ROI signals"
}
]
footer: {
leading: "Typical timeline from kickoff to production.",
highlight: "Production-ready in 1–12 weeks"
}
---
title: "Data architecture and security"
backgroundColor: "#F3F8FF"
items: [
{
title: "Customer-isolated data environment",
description: "All Living Profile data is stored in a dedicated, customer-isolated environment. Profile data is never shared across customer instances."
},
{
title: "Your data never trains our models",
description: "Your data is never used to train ept AI shared models. Full data lineage and audit logging are available for all profile updates and downstream outputs."
},
{
title: "Your IP, vendor-independent",
description: "Living Profiles are your company's intellectual property with full export rights. Structured data is not locked to ept AI infrastructure."
},
{
title: "Flexible deployment",
description: "Cloud-hosted by default on SOC 2-aligned infrastructure. Dedicated VPC in AWS, Azure, or GCP and on-premises options available for enterprise contracts."
},
{
title: "SOC 2 Type II certified",
description: "Annual third-party audit of security controls, availability, and confidentiality. GDPR-compliant data handling and CCPA-compliant processes."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Ready to see the platform in your environment?"
copy: "We run a structured technical review: 60 minutes, your data sources, your use cases."
ctaText: "Schedule a technical review"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Read the documentation"
ctaSecondaryUrl: "https://docs.ept.ai"
dataEvent: "cta-platform-technical-review"
```
---
## Resources for B2B Tech Teams Adopting AI | ept AI
- Route: `/resources`
- URL: https://www.ept.ai/resources/
- Description: Explore ept AI whitepapers, webinars, documentation, and technical resources for B2B technology teams putting AI into production across sales, support, and product workflows.
- Products: Deal Room, Application Room, AI Applications Engineer, AI Product Channel
- Last modified: 2026-05-03
```markdown
title: "Resources for B2B Tech Teams Adopting AI | ept AI"
lastUpdated: "2026-05-03"
route: "/resources"
description: "Explore ept AI whitepapers, webinars, documentation, and technical resources for B2B technology teams putting AI into production across sales, support, and product workflows."
products: ["Deal Room", "Application Room", "AI Applications Engineer", "AI Product Channel"]
owner: "rob@ept.ai"
kpis: [
"Resource click-through >= 20% of visitors",
"Demo request conversions >= 4% of visitors"
]
---
layout: "text-left-animation-right"
eyebrow: "Resources"
h1: "Resources for complex B2B teams adopting AI"
subhead: "Comprehensive guides, whitepapers, webinars, and documentation to help sales, support, and product teams put ept AI into production."
imagePath: "/images/pages/resources-hero.svg"
altText: "Illustration of resource cards for whitepapers, webinars, and documentation"
ctaPrimary: "Browse whitepapers"
ctaPrimaryUrl: "/whitepapers"
ctaSecondary: "View webinars"
ctaSecondaryUrl: "/webinars"
embeddedMetrics: [
{ metric: "Pilot-to-rollout conversion", result: ">90%", product: "ept AI Platform", url: "/platform/overview" },
{ metric: "Path to measurable ROI", result: "12 weeks", product: "ept AI Platform", url: "/solutions/overview" }
]
---
sectionId: "resource-library"
eyebrow: "Resource library"
title: "Explore ept AI resources"
subtitle: "Choose the format that matches how your team wants to learn."
accentPosition: "top"
solutions: [
{
colSize: "3",
eyebrow: "Research",
title: "Whitepapers",
text: "Deep insights and strategic guidance for B2B tech companies implementing AI solutions. Explore our research on AI support, performance management, and transformation strategies.",
learnMoreUrl: "/whitepapers",
ctaText: "Browse Whitepapers",
icon: "/images/icons/integrations/document.svg",
accentColor: "#E6975B"
},
{
colSize: "3",
eyebrow: "Live and on demand",
title: "Webinars",
text: "Expert insights on AI transformation, sales enablement, and B2B channel AI. Join live sessions or watch on-demand recordings from industry leaders.",
learnMoreUrl: "/webinars",
ctaText: "View Webinars",
icon: "/images/icons/brain.svg",
accentColor: "#164192"
},
{
colSize: "3",
eyebrow: "Implementation",
title: "Documentation",
text: "Comprehensive technical documentation, API references, and implementation guides to help you integrate and optimize ept AI solutions.",
learnMoreUrl: "https://docs.ept.ai",
ctaText: "View Documentation",
icon: "/images/icons/search.svg",
accentColor: "#4D88A3"
},
{
colSize: "3",
eyebrow: "AI help",
title: "Support",
text: "Ask the embedded ept AI assistant questions about our platform, solutions, resources, and implementation model.",
learnMoreUrl: "/resources/support",
ctaText: "Get Support",
icon: "/images/icons/bot.svg",
accentColor: "#7F9691"
}
]
---
title: "Video Resources"
subtitle: "Watch our latest videos, tutorials, and webinar recordings"
emptyText: "No videos available at the moment."
backgroundColor: "#F9FAFB"
---
title: "Need a resource for a specific use case?"
subhead: "Tell us what your team is trying to evaluate. We can point you to the right material or prepare a demo around your products, customers, and workflows."
backgroundColor: "#164192"
ctaPrimary: "Contact us for more information"
ctaPrimaryUrl: "/contact"
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Looking for something specific?"
copy: "Tell us what you are trying to understand, evaluate, or share internally. We can point you to the right resource or send more detail from our team."
ctaText: "Contact us for more information"
ctaUrl: "/contact"
dataEvent: "cta-resources-demo"
```
---
## Support and AI Help | ept AI
- Route: `/resources/support`
- URL: https://www.ept.ai/resources/support/
- Description: Get support from ept AI. Ask the embedded ept AI assistant questions about our platform, solutions, documentation, and implementation resources.
- Products: ept AI Platform, Deal Room, Application Room, AI Applications Engineer, AI Product Channel
- Last modified: 2026-05-03
```markdown
title: "Support and AI Help | ept AI"
lastUpdated: "2026-05-03"
route: "/resources/support"
description: "Get support from ept AI. Ask the embedded ept AI assistant questions about our platform, solutions, documentation, and implementation resources."
products: ["ept AI Platform", "Deal Room", "Application Room", "AI Applications Engineer", "AI Product Channel"]
owner: "rob@ept.ai"
kpis: [
"AI help engagement >= 20% of visitors",
"Contact CTA click-through >= 5% of visitors"
]
---
sectionId: "ask-ai"
title: "Ask ept AI"
subtitle: "Get answers grounded in our product documentation, specifications, and customer-facing content, instantly, with sources."
compactCtaText: "Send"
botName: "ept AI"
headerChatName: "ept AI Assistant"
introText: "Hi, I'm the ept AI Assistant. Ask me about ept AI solutions, resources, implementation, or how our platform works."
placeholderText: "Ask anything about ept AI..."
defaultQuestions: [
"What does ept AI do?",
"Which solution fits us first?",
"How long is a pilot?",
"Pricing structure",
"Security and compliance",
"Integration list"
]
disclaimerText: "We welcome any feedback on how to make answers more useful for you."
enableFileUpload: true
backgroundColor: "#F9FAFB"
---
sectionId: "helpful-links"
title: "Have more questions?"
accentPosition: "top"
showBackground: false
solutions: [
{
colSize: "3",
eyebrow: "Technical docs",
title: "Documentation",
text: "Review implementation details, API references, and technical guidance for working with ept AI.",
learnMoreUrl: "https://docs.ept.ai",
ctaText: "Read the docs →",
icon: "/images/icons/integrations/document.svg",
accentColor: "#4D88A3"
},
{
colSize: "3",
eyebrow: "Research",
title: "Whitepapers",
text: "Explore strategic guidance on AI support, performance management, and transformation for B2B tech teams.",
learnMoreUrl: "/whitepapers",
ctaText: "Browse whitepapers →",
icon: "/images/icons/search.svg",
accentColor: "#E6975B"
},
{
colSize: "3",
eyebrow: "Video",
title: "Webinars",
text: "Watch sessions on AI transformation, sales enablement, technical support, and knowledge workflows.",
learnMoreUrl: "/webinars",
ctaText: "View webinars →",
icon: "/images/icons/brain.svg",
accentColor: "#164192"
},
{
colSize: "3",
eyebrow: "Talk to us",
title: "Contact ept AI",
text: "Share what you are trying to evaluate and we will route you to the right resource or next conversation.",
learnMoreUrl: "/contact",
ctaText: "Start a conversation →",
icon: "/images/icons/customer_icon.svg",
accentColor: "#7F9691"
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "Need an answer from the team?"
copy: "If AI Help does not answer your question, send us the context and we will follow up with the right resource or person."
ctaText: "Contact support"
ctaUrl: "/contact"
ctaSecondary: "Browse all resources"
ctaSecondaryUrl: "/resources"
dataEvent: "cta-resources-support-contact"
```
---
## AI Solutions for OEM Supplier Teams | ept AI
- Route: `/solutions`
- URL: https://www.ept.ai/solutions/
- Description: Built for OEM suppliers. Powered by Living Profiles. Delivered to every person and system that touches your products and customers.
- Products: Deal Room, AI Product Channel, Application Room, AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI Solutions for OEM Supplier Teams | ept AI"
lastUpdated: "2026-04-23"
description: "Built for OEM suppliers. Powered by Living Profiles. Delivered to every person and system that touches your products and customers."
products: ["Deal Room", "AI Product Channel", "Application Room", "AI Applications Engineer"]
route: "/solutions/overview"
owner: "rob@ept.ai"
kpis: [
"Demo conversions >= 8% of visitors",
"Avg scroll depth >= 75%"
]
---
layout: "text-left-animation-right"
h1: "Your business has incredible knowledge. ept AI unlocks it to drive growth."
subhead: "Built for OEM suppliers. Powered by Living Profiles. Delivered to every person and system that touches your products."
imageBrief: "Abstract visualization of knowledge flowing from multiple sources — documents, CRM, email, catalog, people — converging into a single unified intelligence layer that radiates outward to a rep, an engineer, a support agent, and a system. Clean, brand colors."
imagePath: "/images/pages/solution-overview-hero.svg"
altText: "ept AI platform cards for sales, engineering, and marketing teams connected into one operating layer"
ctaPrimary: "See how it works"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
embeddedMetrics: [
]
---
title: "Where OEM supplier teams get stuck"
subtitle: "Sound familiar? These are the problems ept AI was built to solve."
benefits: [
{
icon: "/images/icons/clock.svg",
title: "Salespeople spend hours preparing",
description: "Salespeople are too hurried to drive relationships and strategic selling. Every call requires manual research that should be instant."
},
{
icon: "/images/icons/search.svg",
title: "Customers can't find the right part",
description: "Customers need to know your org chart to find the right product. Sales and AE staffing constraints hinder long-tail sales."
},
{
icon: "/images/icons/eye-off.svg",
title: "Cross-sell pipeline is lost",
description: "Pipeline is hiding in accounts you already own. Without cross-selling tools, your team can't see the opportunities right in front of them."
},
{
icon: "/images/icons/bot.svg",
title: "Generic AI that's marginally helpful",
description: "If the AI doesn't know your business, your team stops trusting it. Generic AI can't replace deep product intelligence."
}
]
sectionId: "interfaces"
title: "Choose the interface that matches the growth problem in front of you."
solutions: [
{
colSize: "6",
eyebrow: "Sales",
title: "Deal Room",
text: "For sales teams working named accounts and complex deals. Deal Room gives every rep a live account workspace with pre-call plans, stakeholder context, competitive positioning, and cross-sell signals pulled from the full business.",
learnMoreUrl: "/solutions/deal-room"
},
{
colSize: "6",
eyebrow: "Digital Marketing/Web",
title: "AI Product Channel",
text: "For digital teams who need the website to do more than host datasheets. AI Product Channel turns your catalog into natural-language product discovery, with technical fit, documentation, pricing, and stock in the same flow.",
learnMoreUrl: "/solutions/ai-product-channel"
},
{
colSize: "6",
eyebrow: "Applications Engineering",
title: "AI Applications Engineer",
text: "For FAE, support, and applications teams buried in repeat technical questions. AI Applications Engineer answers or drafts the first layer across chat, ticketing, and MCP workflows, with citations and escalation when a human expert is needed.",
learnMoreUrl: "/solutions/ai-applications-engineer"
},
{
colSize: "6",
eyebrow: "BD and Marketing",
title: "Application Room",
text: "For leaders deciding where to prospect, position, and invest. Application Room aggregates deal, catalog, support, and customer signals into a segment-level view of whitespace, market momentum, competitive pressure, and best-fit prospects.",
learnMoreUrl: "/solutions/application-room"
}
]
---
title: "A structured 12-week program — not a trial you figure out alone."
subtitle: "Every pilot runs the same proven sequence: setup, kickoff, ongoing coaching, and a readout built to make the subscription decision easy."
journey: [
{
phase: "Setup",
useCase: "Platform configured, Deal Rooms pre-built, team ready before day one",
description: "Before your team sees the platform, we've created every user account, configured your product catalog and competitive context, and pre-built deal rooms for your first accounts. Your kickoff starts with a working system — not a blank slate.",
timeline: "Week 1",
weekStart: 1,
weekEnd: 1,
impact: "Participants log in to deal rooms already built on their accounts"
},
{
phase: "Kickoff",
useCase: "Live training with hands-on deal room use",
description: "A 60-minute structured session: platform overview, live demo, and hands-on time where every participant builds a real deal room on an account they're working. Within 24 hours, recordings are sent, 1:1s are booked, and any issues are resolved.",
timeline: "Week 2",
weekStart: 2,
weekEnd: 2,
impact: "Every participant has used the platform on a real account"
},
{
phase: "Coaching",
useCase: "Weekly updates, biweekly group sessions, individual 1:1s",
description: "Channel updates every Monday and Thursday, group check-ins every other week, and 30-minute 1:1s alternating in between. Each 1:1 works a live deal — building rooms, reviewing stakeholders, drafting outreach. ROI evidence logged throughout.",
timeline: "Weeks 3–11",
weekStart: 3,
weekEnd: 11,
impact: "Cross-sell signals, time saved, and deal insights logged throughout"
},
{
phase: "Readout",
useCase: "Executive readout built to make the Go decision straightforward",
description: "60 minutes with your executive sponsor: usage data, ROI evidence, participant quotes, and a clear rollout picture. The final 10 minutes are a structured decision — Go, Conditional Go, or No-Go — with owner and date before anyone leaves.",
timeline: "Week 12",
weekStart: 12,
weekEnd: 12,
impact: "A documented decision with commercial next steps in place"
}
]
---
title: "Proven results"
metrics: [
{ metric: "Pipeline added from Deal Rooms", result: "$1B", product: "Deal Room", url: "/solutions/deal-room" },
{ metric: "Pilot-to-rollout conversion", result: ">90%", product: "ept AI Platform", url: "/platform/overview" },
{ metric: "From kickoff to measurable ROI", result: "12 weeks", product: "ept AI Platform", url: "/platform/overview" }
]
---
eyebrow: "Platform value"
title: "Your Living Profiles are yours. Forever."
subtitle: "ept AI builds proprietary intelligence that belongs to your company — not to us. The longer you run, the more valuable your asset becomes."
valueProps: [
{
tag: "Owned",
visual: "seal",
title: "Company-owned IP",
description: "Your Living Profiles are proprietary to your business and stay with you — always.",
benefits: [
"Not a vendor dependency. You own the intelligence ept AI generates.",
"Export your profiles at any time. No lock-in."
]
},
{
tag: "Compounding",
visual: "growth",
title: "Compounds with every interaction",
description: "Every deal, every support ticket, every catalog query enriches the profiles you own.",
benefits: [
"Month over month, your intelligence layer deepens — automatically.",
"After 12 months, you have a proprietary asset no competitor can match."
],
metrics: ["12-month moat"]
},
{
tag: "Defensible",
visual: "moat",
title: "Impossible to replicate with generic AI",
description: "ChatGPT doesn't know your customers, your products, or your competitive landscape.",
benefits: [
"Your Living Profiles encode deep, contextual knowledge unique to your business.",
"The longer you run, the wider the moat between you and competitors using off-the-shelf AI."
]
}
]
---
title: "Built for enterprise. Designed for trust."
backgroundColor: "#F3F8FF"
items: [
{
title: "Your data never trains ept AI models",
description: "Your knowledge and customer data stays yours. It is never used to train shared models or exposed to other customers."
},
{
title: "All Living Profile data is isolated and proprietary",
description: "Every profile is tenant-isolated with row-level security. Your data never comingles with another company's."
},
{
title: "On-prem and private cloud hosting available",
description: "Deploy in your own infrastructure for maximum data sovereignty. Full support for air-gapped and VPC environments."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See what your business already knows."
copy: "Most pilots surface measurable ROI within 12 weeks."
ctaText: "Request a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Learn how it works"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-solutions-overview-demo"
```
---
## AI Applications Engineer for OEM Suppliers | ept AI
- Route: `/solutions/ai-applications-engineer`
- URL: https://www.ept.ai/solutions/ai-applications-engineer/
- Description: A virtual applications engineer across internal chat, customer ticketing, and MCP workflows. Grounded in your data. Proven at scale.
- Products: AI Applications Engineer
- Last modified: 2026-04-23
```markdown
title: "AI Applications Engineer for OEM Suppliers | ept AI"
lastUpdated: "2026-04-23"
route: "/solutions/ai-applications-engineer"
description: "A virtual applications engineer across internal chat, customer ticketing, and MCP workflows. Grounded in your data. Proven at scale."
products: ["AI Applications Engineer"]
owner: "rob@ept.ai"
kpis: [
]
---
layout: "text-left-animation-right"
h1: "You don't have enough FAEs for every question. And you never will."
subhead: "Every OEM supplier reaches the same ceiling: FAE bandwidth. Demand for technical depth scales with your customer base; your team doesn't. AI Applications Engineer handles the first layer — across internal chat, customer ticketing, and programmatic workflows — so your experts focus on the problems only they can solve."
imagePath: "/images/pages/applications-engineering-hero.svg"
altText: "Circuit schematic and cited AI answer for applications engineering support"
ctaPrimary: "Request a demo"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See how it connects to AI Product Channel"
ctaSecondaryUrl: "/solutions/ai-product-channel"
embeddedMetrics: [
]
---
title: "FAE bandwidth isn't a hiring problem. It's an architecture problem."
subtitle: "One Semiconductor FAE Director said it directly: my biggest challenge is not having enough FAEs. Every OEM supplier says some version of the same thing."
benefits: [
{
icon: "/images/icons/trending-up.svg",
title: "Demand scales. Your team doesn't.",
description: "Every new customer, every new distributor, every new product line expansion adds to the inbound technical question load. Hiring FAEs is slow, expensive, and linear. The demand curve is not."
},
{
icon: "/images/icons/clock.svg",
title: "First-layer questions consume expert time",
description: "Specs, compatibility, application fit, documentation lookups — most inbound technical questions have known answers. Every hour a senior FAE spends on these is an hour not spent on complex design-in support or new account development."
},
{
icon: "/images/icons/search.svg",
title: "Ticketing systems record questions. They don't answer them.",
description: "Your support team handles inbound technical requests through a ticketing system. The answers exist in your documentation and application notes. The gap between question and answer is a human bottleneck."
}
]
---
title: "A virtual applications engineer. Three surfaces. One intelligence layer."
subtitle: "Built on all of your product data plus customer interactions, built to serve your internal teams and support workflows. Every answer is grounded in your actual documentation and profile data — specific, citable, and trustworthy."
features: [
{
title: "Internal AI chat",
description: "Reps, junior FAEs, and application engineers get cited, source-linked answers for specification lookups, compatibility checks, and application fit questions — in seconds. A rep asks about the max ambient temperature for a part in a sealed enclosure and gets a cited answer, not an email to a senior FAE.",
benefits: [
"Who: Reps, junior FAEs, application engineers, support team",
"Cited answers grounded in Product and Application Living Profiles",
"FAEs become multipliers, not bottlenecks"
],
icon: "/images/icons/bot.svg"
},
{
title: "Ticketing integration",
description: "Auto-answer or draft responses to inbound technical support requests — grounded in Product and Application Living Profiles, not a generic FAQ database. Consistent, cited answers across every ticket. Escalation routing when confidence is below threshold.",
benefits: [
"Who: Customer-facing support team, FAEs handling escalations",
"Answers or drafts responses before a human sees them",
"First-response time drops; FAE escalations become genuine exceptions"
],
icon: "/images/icons/zap.svg"
},
{
title: "MCP server",
description: "Programmatic access to the same product and application intelligence — for AI-assisted quote generation, automated spec checking, internal tools, and custom integrations. Living Profile intelligence available to any workflow that can call an API.",
benefits: [
"Who: Engineering teams, AI workflow developers, operations",
"Structured tool calls for product and application intelligence",
"Same underlying intelligence as chat and ticketing surfaces"
],
icon: "/images/icons/cpu.svg"
}
]
---
title: "What makes this different from a chatbot on your docs."
subtitle: "Anyone can put an LLM on a PDF. These are the things that actually separate a virtual applications engineer from a search box with personality."
benefits: [
{
icon: "/images/icons/brain.svg",
title: "Knowledge that's maintained, not just indexed",
description: "Living Profiles are curated and continuously updated — not a one-time crawl of your documentation. When specs change, answers change. When gaps are found, they surface for resolution."
},
{
icon: "/images/icons/integrations/document.svg",
title: "Automatic knowledge ingestion and processing",
description: "New datasheets, updated app notes, revised specs — ingested, structured, and live without manual intervention. Your knowledge base stays current without a content team maintaining it."
},
{
icon: "/images/icons/zap.svg",
title: "Agentic knowledge retrieval",
description: "Doesn't rely on a single vector search pass. The system reasons across multiple sources, follows reference chains, and assembles answers the way a senior FAE would — not just returning the closest paragraph to the query."
},
{
icon: "/images/icons/shield.svg",
title: "Every answer is auditable",
description: "Responses cite the source document — datasheet, app note, compatibility matrix. Not because it sounds credible, but because your customers and your team need to trust it."
},
{
icon: "/images/icons/search.svg",
title: "Built for the complexity of components",
description: "Not trained on general technical content. Structured around how semiconductor and industrial component questions actually work — parametric constraints, application fit, design tradeoffs."
},
{
icon: "/images/icons/shield.svg",
title: "Knows when to stop and escalate",
description: "Novel application, edge case, ambiguous spec — AI Applications Engineer routes to the right human with context already assembled. Most chatbots hallucinate. This one defers."
},
{
icon: "/images/icons/trending-up.svg",
title: "Quality that's measured and evaluated",
description: "AI Performance Management runs 100+ automated checks per answer. AI evaluations test grounding, technical accuracy, and component-specific reasoning continuously — against domain criteria, not generic LLM benchmarks."
},
{
icon: "/images/icons/target.svg",
title: "Connected to the commercial motion",
description: "Not a standalone tool. Every interaction feeds Living Profiles, surfaces signals for Deal Room and Application Room, and improves answers for every future inquiry across all three surfaces."
}
]
---
eyebrow: "Who it serves"
title: "Three roles. One interface. Each getting what they actually need."
subtitle: "AI Applications Engineer serves different roles through the same intelligence layer — grounded in your Product, Application, and Customer Living Profiles."
roles: [
{
id: "fae",
title: "FAE / Applications Engineer",
surface: "Internal chat",
color: "blue",
pain: "Stop being the answer to every question your documentation already covers.",
outcome: {
metric: "62%",
label: "of first-layer questions resolved without FAE time"
},
capabilities: [
{
title: "Self-serve answers",
description: "Answer first-layer technical questions in seconds through internal chat — without pulling you off complex work."
},
{
title: "Cited lookups",
description: "Get cited, source-linked answers for specification lookups, compatibility checks, and application fit questions."
},
{
title: "Smart escalation",
description: "Flag genuine escalations automatically — with the relevant product and customer context already assembled."
}
],
demo: {
kind: "chat",
channel: "#ae-help",
user: "Priya · SE",
question: "Does the DX-400 support 4–20mA looped input for legacy PLC rigs?",
answer: "Yes — DX-400 rev C and later support 4–20mA loop-powered input on CH1/CH2 when configured in passive mode. Max loop resistance 250Ω @ 24V.",
citations: [
{ id: "DX-400 Datasheet · §3.2", label: "DS" },
{ id: "App Note AN-117 · Loop power", label: "AN" }
],
follow: "Flagged: customer Halden Controls is on rev A — escalating to J. Tan with rig photos attached."
}
},
{
id: "support",
title: "Support Team Lead",
surface: "Ticket queue",
color: "green",
pain: "Your ticketing system should close tickets, not just log them.",
outcome: {
metric: "< 4 min",
label: "median first response across inbound technical tickets"
},
capabilities: [
{
title: "Auto-drafted replies",
description: "Auto-answer or draft responses to inbound technical support requests — grounded in Product Living Profiles."
},
{
title: "Consistent quality",
description: "Consistent, cited answers across every ticket — not dependent on which team member picks it up."
},
{
title: "Escalation by exception",
description: "Escalation routing when genuinely needed, with context attached — not by default."
}
],
demo: {
kind: "ticket",
ticketId: "SUP-18422",
customer: "Northfield Dairy Co-op",
subject: "Flow meter drifting 3–5% on cold-wash cycles",
draft: "Thanks for the details, Marco. The 3–5% drift on cold cycles is a known thermal-coefficient artifact on FM-22 units shipped before Q3'24 — documented in App Note AN-204. We ship a firmware patch (v2.4.1) that auto-compensates. Install steps below…",
citations: [
{ id: "AN-204 · Thermal compensation", label: "AN" },
{ id: "FW 2.4.1 Release notes", label: "RN" }
],
status: "Draft ready · awaiting agent review",
queue: [
{ id: "SUP-18421", customer: "Riverstone Mfg.", subject: "Calibration cert for PN-8840", time: "8m" },
{ id: "SUP-18420", customer: "Karstad A/S", subject: "Integration w/ Siemens S7-1500", time: "14m" },
{ id: "SUP-18419", customer: "Delta Brew Co", subject: "Sensor cable pinout question", time: "31m" }
]
}
},
{
id: "sales",
title: "VP Sales",
surface: "Pre-call brief",
color: "orange",
pain: "Your reps should walk into technical conversations as well-prepared as your FAEs.",
outcome: {
metric: "3×",
label: "more technical questions reps answer without FAE help"
},
capabilities: [
{
title: "Pre-meeting depth",
description: "Reps get pre-meeting technical depth through internal chat — product fit, application context, competitive positioning — without burning FAE time."
},
{
title: "Faster ramp",
description: "Junior FAEs ramp faster when they have a knowledge layer to draw on before escalating."
},
{
title: "Consistent depth",
description: "Technical support quality becomes consistent across accounts and team members."
}
],
demo: {
kind: "brief",
account: "Halden Controls · Tues 2pm",
rep: "D. Okafor",
fitScore: 82,
fit: "Strong — 4 of 5 product lines use comparable instrumentation. Retrofit pain on legacy PLC rigs is the wedge.",
objections: [
{ q: "vs. incumbent (Metrex 9-series)?", a: "Lower install cost, native 4–20mA loop, no gateway needed." },
{ q: "Calibration cadence?", a: "12-month factory; in-field hot-swap — AN-092." }
],
citations: [
{ id: "Halden · CRM · last 6mo", label: "CRM" },
{ id: "Battlecard · Metrex 9", label: "BC" }
]
}
}
]
---
eyebrow: "AI Applications Engineer FAQ"
title: "What FAE and support leaders ask about AI AE"
items: [
{
question: "What does AI Applications Engineer do?",
answer: "It handles the first layer of technical questions across your internal chat, customer ticketing, and programmatic workflows. Grounded in your documentation, app notes, and support history, it drafts cited answers that your FAEs approve, edit, or send. Your experts stop rewriting the same response for the fifteenth time and focus on the problems only they can solve."
},
{
question: "Will it replace our FAEs?",
answer: "No. It absorbs the triage layer — the repetitive, well-documented questions — so your FAEs work further up the value chain. Every answer flows through an FAE-visible review surface; no response goes out unsupervised."
},
{
question: "How does it avoid wrong answers on technical content?",
answer: "Every response is grounded in your documentation with inline citations, and runs through 100+ quality checks before it reaches a reviewer. When confidence is low the system routes to a human; it does not guess."
},
{
question: "What does deployment look like?",
answer: "We ingest your app notes, datasheets, firmware release notes, support history, and wiki. AI Applications Engineer deploys across internal chat (Slack, Teams) and your ticketing system (Zendesk, Salesforce Service Cloud, Jira Service Management). Typical production rollout is measured in weeks."
},
{
question: "How is this different from AI Product Channel?",
answer: "Same foundation, different audience. AI Product Channel is the external, pre-sales surface engineers use to discover and evaluate parts. AI Applications Engineer is the internal and post-sales surface that answers deep technical questions for FAEs, support engineers, and existing customers."
},
{
question: "Can it integrate with our agent stack?",
answer: "Yes. The same knowledge base is exposed through a native MCP server, so engineering and support agents can call it with structured tool calls instead of scraping documentation."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See it answer questions from your actual product line."
copy: "The most convincing demo is a live Q&A on your own catalog. Every pilot starts with your product documentation loaded into Living Profiles. The answers are specific to your products from day one."
ctaText: "Request a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See AI Product Channel"
ctaSecondaryUrl: "/solutions/ai-product-channel"
dataEvent: "cta-ai-applications-engineer-demo"
```
---
## AI Product Channel for OEM Suppliers | ept AI
- Route: `/solutions/ai-product-channel`
- URL: https://www.ept.ai/solutions/ai-product-channel/
- Description: Turn your catalog into a product intelligence layer with catalog-scale discovery, real-time pricing, and a native MCP server.
- Products: AI Product Channel
- Last modified: 2026-04-23
```markdown
title: "AI Product Channel for OEM Suppliers | ept AI"
lastUpdated: "2026-04-23"
route: "/solutions/ai-product-channel"
description: "Turn your catalog into a product intelligence layer with catalog-scale discovery, real-time pricing, and a native MCP server."
products: ["AI Product Channel"]
owner: "rob@ept.ai"
kpis: [
]
---
layout: "text-left-animation-right"
h1: "Your customers' engineers find a part. Download a datasheet. Then disappear."
subhead: "That invisible loss is the manufacturer's problem. AI Product Channel is a product intelligence layer on your domain for your customers' engineers — proven in production across catalogs with 100k+ parts showing real-time distributor pricing and stock."
imagePath: "/images/pages/digital-sales-hero.svg"
altText: "Natural-language product search returning ranked part matches for digital sales"
ctaPrimary: "Book a live catalog demo"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the platform"
ctaSecondaryUrl: "/platform/overview"
embeddedMetrics: [
]
---
title: "What AI Product Channel is"
subtitle: "OEM supplier websites are evolving from page-based destinations into product intelligence layers. AI Product Channel is that new layer: built for your customers' engineers today, and built for engineering AI workflows that are already arriving."
features: [
{
title: "The new interaction layer for OEM supplier websites",
description: "Your page-based website still matters, but the primary interaction model is shifting toward natural language and structured tool calls. AI Product Channel sits on your domain as the interface layer for product discovery, evaluation, and next-step attribution.",
benefits: [
"On your domain",
"Built for OEM suppliers",
"Designed for design win workflows"
],
icon: "/images/icons/brain.svg"
},
{
title: "Catalog-scale product discovery",
description: "This is not just Q&A on a known part. AI Product Channel narrows 100,000+ parts to the right candidates from a natural-language requirement, across product families, constraints, and application context.",
benefits: [
"Natural-language requirement to shortlist",
"Catalog-scale narrowing",
"Discovery before the part number is known"
],
icon: "/images/icons/search.svg"
},
{
title: "Real-time distributor pricing and stock in the same flow",
description: "Product discovery is only useful if it connects to orderable reality. AI Product Channel brings distributor pricing and availability into the same interaction, so your customers' engineers and sourcing teams can act on what they find.",
benefits: [
"Real-time distributor pricing",
"Real-time stock visibility",
"Fewer dead-end evaluations"
],
icon: "/images/icons/trending-up.svg"
},
{
title: "Dual-interface deployment",
description: "Deploy AI Chat on your public website for unauthenticated product discovery or inside your customer portal for authenticated account intelligence. Expose the same intelligence through a native MCP server for AI agents running design and procurement workflows.",
benefits: [
"AI Chat for your customers' engineers",
"Native MCP server for AI agents",
"One intelligence layer behind both"
],
icon: "/images/icons/target.svg"
}
]
---
title: "What one manufacturer proved as the AI-agent shift accelerates"
subtitle: "The largest catalogs benefit the most."
stories: [
{
useCase: "Natural-language discovery",
title: "A requirement, not a part number",
scenario: "An engineer asked: \"I need a 24V DIN-rail power supply for factory automation, at least 240W, with the right compliance status, and I need to know what is available through distribution now.\"",
persona: "Engineer",
solution: "AI Product Channel returned a matching TDK Lambda part, the datasheet link, compliance status, and live distributor pricing and stock in the same interaction. No FAE call. No form.",
outcome: "Under 5s to part, datasheet, and live stock",
icon: "search"
},
{
useCase: "Catalog scale",
title: "135,000 parts without a product finder maze",
scenario: "Instead of drilling through filters family by family, the engineer starts with the application need and constraints in plain English.",
persona: "Engineer",
solution: "AI Product Channel narrows the catalog to the most relevant candidates, ranked against the stated requirement, and keeps the conversation grounded in product data and documentation.",
outcome: "135,000-part catalog made searchable by intent",
icon: "layers"
},
{
useCase: "Production deployment",
title: "On the manufacturer's domain, with attribution",
scenario: "The interaction happens where engineers already research parts, not in a side demo or disconnected prototype.",
persona: "VP Digital",
solution: "Discovery, documentation, and distributor intelligence run on the manufacturer's domain with a verified research trail that can connect the session to sample requests, design registration, and downstream commercial outcomes.",
outcome: "Production live with a verified research trail",
icon: "globe"
}
]
---
title: "The next design win may never touch your product finder"
subtitle: "The same discovery problem is about to get structurally worse as engineering AI takes on more of the research workflow."
benefits: [
{
icon: "/images/icons/bot.svg",
title: "AI agents are already doing product research",
description: "Claude, Cursor, OpenAI Agents, and custom LLM pipelines are already handling comparison and early evaluation work that engineers used to do manually."
},
{
icon: "/images/icons/cpu.svg",
title: "Most product discovery surfaces are unreadable to that workflow",
description: "AI agents cannot use a product finder or fill out a sample request form. If your catalog is not AI-readable, it is skipped."
},
{
icon: "/images/icons/zap.svg",
title: "Native MCP is how catalogs become usable to engineering AI",
description: "AI Product Channel exposes the same product intelligence through a native MCP server, using structured tool calls instead of scraping."
},
{
icon: "/images/icons/target.svg",
title: "Dual-interface wins the transition",
description: "Serve your customers' engineers today through AI Chat and serve engineering AI tomorrow through the same product intelligence layer."
}
]
---
eyebrow: "Who it serves"
title: "Three audiences. One product intelligence layer. Each getting what they actually need."
subtitle: "AI Product Channel serves your customers' engineers, AI agents, and the manufacturer through the same catalog intelligence — grounded in your Product, Application, and Customer Living Profiles."
roles: [
{
id: "engineer",
title: "For your customers' engineers",
surface: "Catalog chat",
color: "blue",
pain: "Stop navigating PDFs, parametric tables, and stale distributor pages to find the right part.",
outcome: {
metric: "< 60s",
label: "from plain-English question to a cited, compliance-checked shortlist"
},
capabilities: [
{
title: "Natural-language discovery",
description: "Ask in plain English and get the right part — specs, documentation, and application fit in one flow, no parametric table drilling."
},
{
title: "Docs, compliance, and stock in context",
description: "Datasheets, app notes, compliance status, lifecycle, pricing, and distributor stock surface together — cited, not pieced together."
},
{
title: "On your domain",
description: "Your customers' engineers get the answer on your site or inside your customer portal — not on a competitor's search engine."
}
],
demo: {
kind: "chat",
channel: "#catalog-chat",
user: "Maya · Sr EE",
question: "Need a sealed IP67 encoder, SSI output, 14-bit, under 2ms latency for a wash-down servo loop. Shortlist?",
answer: "Three fits: EC-45H (14-bit SSI, IP67, 1.2ms, RoHS/REACH, active), EC-38 (14-bit SSI but IP65 — borderline for wash-down), EZ-S2 (12-bit — skip). Stock: 240 at Arrow today, 3-wk lead direct.",
citations: [
{ id: "EC-45H Datasheet · §4", label: "DS" },
{ id: "Compliance pack v3.2", label: "CP" },
{ id: "Distributor stock · live", label: "D" }
],
follow: "Sample request queued · EC-45H eval kit shipping to your MPLS lab."
}
},
{
id: "agent",
title: "For the AI agent",
surface: "MCP tool call",
color: "green",
pain: "Engineering AI agents shouldn't have to scrape your PDFs and product pages to reason about parts.",
outcome: {
metric: "Native",
label: "MCP server — structured tool calls, no brittle scraping"
},
capabilities: [
{
title: "Native MCP server",
description: "A first-class MCP endpoint agents can discover and call — schemas, parts, docs, compliance, and lifecycle returned as structured payloads."
},
{
title: "Structured, not scraped",
description: "Agents make typed tool calls instead of hallucinating from HTML, so downstream design and procurement workflows stay deterministic."
},
{
title: "Works with the stack you already use",
description: "Compatible with Claude, OpenAI Agents, LangChain, Cursor, and custom pipelines — no bespoke connectors."
}
],
demo: {
kind: "chat",
channel: "MCP · tools/call",
user: "claude/research-v2",
question: "search_parts(category='isolated-dcdc', vin_min=36, vout=5, iout_min=2, iso_kv=3, footprint='open-frame')",
answer: "3 matches. Top: IDC-5Q3 · vin 9–75V · 5V/3A · 3kV iso · -40/+85°C · 10M-hr MTBF · lifecycle: active · RoHS/REACH. Structured payload + citations returned to caller.",
citations: [
{ id: "MCP schema v1.3 · search_parts", label: "MCP" },
{ id: "IDC-5Q3 Datasheet · §2", label: "DS" }
],
follow: "Tool call logged · research trail attributed to Halden Controls · workflow: design-evaluation."
}
},
{
id: "manufacturer",
title: "For the manufacturer",
surface: "Design-in attribution",
color: "orange",
pain: "You can't price a channel you can't measure — and today's catalog clicks don't tell you which accounts actually designed you in.",
outcome: {
metric: "Pay-on-win",
label: "attribution-first pricing, from first query to production order"
},
capabilities: [
{
title: "Verified research trail",
description: "Every engineer and agent interaction is captured as a structured trail — discovery, evaluation, sample, design registration, order."
},
{
title: "Attribution across the funnel",
description: "Link design-register events and production orders back to the specific queries and sessions that drove them — at the account level."
},
{
title: "Authenticated when it matters",
description: "Supports signed-in portal workflows so account context, entitlements, and NDA-gated docs flow through the same intelligence layer."
}
],
demo: {
kind: "brief",
account: "Halden Controls · Design-in candidate · Q2",
rep: "Channel team · ept AI attribution",
fitScore: 88,
fit: "Halden's new wash-down servo line queried 14-bit SSI encoders 11× in the last 30 days. EC-45H matched on query 3; 2 sample requests in flight; design-register event expected within 30 days based on research-trail cadence.",
objections: [
{ q: "Stocking depth if we production-qualify?", a: "48k at Arrow + 12-wk lead direct; bonded inventory option documented in the channel pack." },
{ q: "Approved second-source for dual-sourcing?", a: "EC-45HX is pin-compatible from our second fab — both on Halden's approved components list." }
],
citations: [
{ id: "Research trail · Halden · 30d", label: "RT" },
{ id: "Sample req · SR-40218", label: "SR" }
]
}
}
]
---
eyebrow: "AI Product Channel FAQ"
title: "Questions we get from product and marketing leaders"
items: [
{
question: "What is AI Product Channel?",
answer: "A product intelligence layer that sits on your domain and exposes your catalog through two interfaces: an AI chat that engineers use to find parts in plain English, and a native MCP server that AI agents use to query your catalog with structured tool calls."
},
{
question: "How large a catalog can it handle?",
answer: "Proven in production across catalogs with 100k+ parts. TDK Lambda runs ~135,000 parts through AI Product Channel with real-time distributor pricing and stock in the same flow."
},
{
question: "Why is a native MCP server important?",
answer: "Engineering teams are increasingly using AI coding and design agents — Claude, Cursor, OpenAI Agents, LangChain. An MCP server lets those agents research your catalog with structured tool calls instead of scraping your PDFs. If your catalog is not AI-readable, your parts are not being considered."
},
{
question: "How is pricing structured?",
answer: "Attribution-first: you pay when we prove we drove measurable outcomes like design registration or an order. The alternative is continuing to lose engineers who land on a datasheet and disappear."
},
{
question: "Do you support authenticated workflows?",
answer: "Yes. AI Product Channel runs on your domain and can gate catalog access behind authentication when account context matters, while remaining open for discovery where that is the right trade-off."
},
{
question: "What does deployment look like?",
answer: "We ingest your catalog, datasheets, compliance and lifecycle data, and distributor feeds into a Living Profile per part. First demo on your catalog in weeks, not quarters."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See AI Product Channel on your catalog."
copy: "Bring a real requirements set, part family, or distributor question. We will walk through natural-language discovery, live pricing and stock, and the native MCP server on a your catalog."
ctaText: "Book a live catalog demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the full platform"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-ai-product-channel-demo"
```
---
## Application Room — Market & Event Intelligence | ept AI
- Route: `/solutions/application-room`
- URL: https://www.ept.ai/solutions/application-room/
- Description: Application Room gives product managers, BD teams, and sales reps ecosystem intelligence to analyze, size and enter new markets — grounded in your actual product catalog.
- Products: Application Room
- Last modified: 2026-06-17
```markdown
title: "Application Room — Market & Event Intelligence | ept AI"
lastUpdated: "2026-06-17"
route: "/solutions/application-room"
description: "Application Room gives product managers, BD teams, and sales reps ecosystem intelligence to analyze, size and enter new markets — grounded in your actual product catalog."
products: ["Application Room"]
owner: "rob@ept.ai"
kpis: [
]
---
layout: "text-left-animation-right"
theme: "light"
h1: "Your market moved last night. Do your product plans know?"
subhead: "Application Room gives product managers, BD teams, and sales reps the ecosystem intelligence to analyze, size and enter new markets — grounded in your actual product catalog."
imagePath: "/images/pages/business-development-hero.svg"
altText: "Application Room workspace mapping market opportunities and application fit against a product catalog"
ctaPrimary: "See it for your market"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
embeddedMetrics: [
{
metric: "Market entry research on a new vertical",
result: "weeks → hours",
product: "Application Room",
url: "/solutions/application-room"
}
]
---
eyebrow: "What it is"
title: "A living market map, grounded in your own product catalog."
subtitle: "The Application Room is a workspace that turns your product knowledge into ecosystem intelligence — who's building what, where you fit, and which opportunities are worth your team's time. Not a static report. A room your whole team works from."
features: [
{
title: "Built on market analysis",
description: "Start with a clear read of the market — size, segments, ecosystem players, competitive positioning, and the technical requirements buyers actually care about. The full landscape, mapped against where you can win.",
benefits: [
"Market sizing and segmentation across addressable sub-segments",
"Ecosystem mapping: Tier 1 customers, challengers, partners, standards",
"Competitive landscape with positioning analysis against your catalog"
],
icon: "/images/icons/search.svg"
},
{
title: "Always current",
description: "Markets move — new entrants, M&A, shifting standards. The room refreshes as the ecosystem changes, so the picture you act on reflects where the market is now, not where it was last quarter.",
benefits: [
"Living document refreshed as the market moves",
"Technical requirements buyers actually care about in this space",
"Shared workspace the whole commercial team works from"
],
icon: "/images/icons/trending-up.svg"
},
{
title: "Built for action",
description: "Intelligence only matters if it moves a deal. Any target can become a live Deal Room in one click, with application context and stakeholder signals carried straight across.",
benefits: [
"One-click Deal Room generation for any target you want to pursue",
"Application context and stakeholder signals carried into the deal",
"Market picture gets smarter with every deal your team works"
],
icon: "/images/icons/zap.svg"
}
]
---
sectionId: "market-motion"
eyebrow: "Three ways teams use it"
title: "One room. Every market motion."
subtitle: "The Application Room adapts to how your team actually works — whether you're entering a new vertical, prospecting into cold accounts, or prepping for a trade show."
features: [
{
title: "Market entry",
tabId: "market-entry"
description: "When a new application lands in your funnel, understanding it is largely manual and fragmented. Application Room builds the picture: addressable market, technical requirements, key players, competitive positioning, and where your portfolio has natural advantage — grounded in your own product catalog.",
benefits: [
"Market sizing and segmentation across addressable sub-segments",
"Ecosystem mapping: Tier 1 customers, challengers, partners, standards",
"Competitive landscape with positioning analysis against your catalog",
"Technical requirements buyers actually care about in this space",
"Living document — refreshed as the market moves"
],
icon: "/images/icons/trending-up.svg"
},
{
title: "Account prospecting",
tabId: "account-prospecting",
description: "Finding the right accounts starts with understanding the ecosystem they operate in. Application Room maps prospects, challengers, systems integrators, and the standards bodies that shape what gets specified — so you know who the real buyers are, where they sit in the value chain, and which of your product lines belongs in the conversation. When a company is worth pursuing, one click generates a Deal Room with the market context already carried across.",
benefits: [
"Application fit: which of your product lines belongs in this conversation and why",
"Prospects identified and ranked to prioritize the outreach",
"One-click Deal Room generation — market context carried straight across and the right stakeholders identified",
"Ecosystem position: where the company sits relative to OEMs, integrators, and standards bodies"
],
icon: "/images/icons/search.svg"
},
{
title: "Trade show prep",
tabId: "trade-show-prep",
description: "Most reps walk the floor on instinct. The ones who win walk in with a ranked list built on application fit — knowing which booths matter and why each conversation is worth having. Load the exhibitor list, set your product focus, and get back a ranked target list scored by application overlap with your catalog.",
benefits: [
"Exhibitor list ranked by application fit against your product lines",
"Per-company briefs: what they build, customers, where you fit",
"One-click Deal Room generation for any target you want to pursue",
"Works for DAC, SEMICON, IMTS, Automate, MEDevice, Hannover Messe"
],
icon: "/images/icons/target.svg",
url: "#trade-show-video",
ctaLabel: "Watch Trade Show Prep",
ctaSecondaryUrl: "https://go.ept.ai/trade-show-prep-build-your-target-list-ept-ai",
ctaSecondaryLabel: "Build your target list"
}
]
---
anchorId: "trade-show-video"
title: "Watch the trade show list prep in action."
subtitle: "Trade show prep, start to finish — a real exhibitor list, ranked by application fit against a real product catalog."
provider: "vimeo"
videoId: "1202241857"
videoHash: "1fb9dbe449"
aspectRatio: "16:9"
maxWidth: "wide"
expandable: false
backgroundColor: "#EFF6FF"
---
title: "What customers say"
quotes: [
{
quote: "Aggregation of data for us is a pain at the moment — everything is fragmented, all over the place. I'm looking for something that would give me access to this data much faster.",
title: "Global Application Manager",
company: "Major Semiconductor Company"
},
{
quote: "It would have been days. And literally in two hours I had a one-page summary.",
title: "Sales Manager",
company: "Novanta",
context: "Used Application Room to synthesize 3,000+ ASMS conference abstracts into a leadership-ready market brief."
},
{
quote: "It would have been days to do this manually, typically been doing it for a fair amount of time... and literally in two hours I had a one page summary.",
title: "Business Development Manager",
company: "Hardware OEM Company"
}
]
---
title: "Grounded market intelligence. Know which markets you should enter."
subtitle: "Application Room spans the full commercial organization. Each role gets different value from the same workspace."
benefits: [
{
icon: "/images/icons/target.svg",
title: "Product Manager / Head of Product",
description: "Evaluating new verticals on incomplete information, with weeks of latency between market signal and decision. Full market picture — overnight."
},
{
icon: "/images/icons/trending-up.svg",
title: "Business Development",
description: "Entering new markets without existing relationships. Needs to get credible fast — without weeks of groundwork. Credible foundation, built fast."
},
{
icon: "/images/icons/zap.svg",
title: "Sales Manager",
description: "Directing team effort toward the right opportunities — especially ahead of industry events and new segment pushes. Whole team walks in prepared."
},
{
icon: "/images/icons/search.svg",
title: "Key Account Manager / Hunter",
description: "Tracking new segments without building a Deal Room for every prospect. Needs to understand a space before committing to pursuits. Explore fast. Commit to the right ones."
},
{
icon: "/images/icons/brain.svg",
title: "Applications Marketer",
description: "Deep competitive positioning and application architectures live in decks that go stale. Scaling expertise is impossible. Living infrastructure — not a static slide."
},
{
icon: "/images/icons/shield.svg",
title: "Business Leader / Executive",
description: "Needs a shared, current view of where the team is focused and where the highest-value opportunities are — without a separate briefing. Visibility without a briefing deck."
}
]
---
title: "45 minutes to prep an entire trade show floor."
subtitle: "A business development manager at a precision motion company had a show coming up — 400+ exhibitors, 2.5 days on the floor."
stories: [
{
useCase: "Customer story",
title: "Three weeks out from the show",
scenario: "The usual approach: show up, follow the map, hope you didn't miss the three booths that mattered. He opened Application Room, loaded the exhibitor list, and set his product focus — positioning solutions, optical scanning systems.",
solutionLabel: "With Application Room",
solution: "It surfaced exhibitors building systems that used components like his — ranked by application overlap, with per-company context for each conversation. He started with 400+ exhibitors and walked in with 22 prioritized targets.",
outcome: "Total prep time: 45 minutes. He knew which conversations were worth having before the doors opened.",
metrics: ["45 min prep", "22 prioritized targets", "400+ exhibitors scored"],
icon: "target"
}
]
---
title: "Trade show prep by the numbers"
metrics: [
{
metric: "Total prep time — down from a full day of manual research",
result: "45 min",
product: "Application Room",
url: "/solutions/application-room"
},
{
metric: "Prioritized targets with application fit rationale and contact context",
result: "22",
product: "Application Room",
url: "/solutions/application-room"
},
{
metric: "Exhibitors processed, scored, and filtered by application fit",
result: "400+",
product: "Application Room",
url: "/solutions/application-room"
}
]
---
title: "Application Rooms and Deal Rooms are directly connected."
subhead: "Spot a prospect in Application Room and turn it into a live Deal Room in one click — context carried straight across. As deals run, conversations enrich the room. Typically an expansion after Deal Room has a sales champion."
ctaPrimary: "See Deal Room"
ctaPrimaryUrl: "/solutions/deal-room"
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See it on your market."
copy: "We build your demo from your own product catalog and target application. You see exactly how Application Room would work for your team — before you commit to anything. Usually 30 minutes."
ctaText: "Request a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "Sign up for trade show prep"
ctaSecondaryUrl: "https://go.ept.ai/trade-show-prep-build-your-target-list-ept-ai"
dataEvent: "cta-application-room-demo"
```
---
## Deal Room for B2B Tech Sales Reps | ept AI
- Route: `/solutions/deal-room`
- URL: https://www.ept.ai/solutions/deal-room/
- Description: Deal Room gives B2B tech sales reps pre-call plans, cited answers, and cross-sell signals grounded in their real accounts.
- Products: Deal Room
- Last modified: 2026-05-04
```markdown
title: "Deal Room for B2B Tech Sales Reps | ept AI"
lastUpdated: "2026-05-04"
route: "/solutions/deal-room"
description: "Deal Room gives B2B tech sales reps pre-call plans, cited answers, and cross-sell signals grounded in their real accounts."
products: ["Deal Room"]
owner: "rob@ept.ai"
kpis: [
]
---
layout: "text-left-animation-right"
h1: "Run every account like it's your top account."
subhead: "Deal Room handles the research, prep, and monitoring you'd do for your biggest deal — across all of them. So every meeting starts with the context the job actually needs."
imageBrief: "Deal Room workspace showing a pre-call plan tab with objectives, hot buttons, watch-outs, a cross-sell signal card, and an AI chat grounded in a real Novanta account."
imagePath: "/images/pages/sales_ai.png"
altText: "Deal Room workspace with a pre-call plan, cross-sell signals, and cited AI answers for a live account"
ctaPrimary: "See it with a real account"
ctaPrimaryUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "How it works"
ctaSecondaryUrl: "/platform/overview"
embeddedMetrics: [
]
---
title: "Used by reps at"
logos: [
{ name: "TDK Lambda", logo: "/images/brand-icons/tdk_lambda.svg" },
{ name: "Synaptics", logo: "/images/brand-icons/synaptics.svg" },
{ name: "Liquid Instruments", logo: "/images/brand-icons/liquid_instruments.png" },
{ name: "EG4", logo: "/images/brand-icons/eg4.png" },
{ name: "Novanta", logo: "/images/brand-icons/novanta.svg" }
]
---
title: "Different reps. Different hardest problem."
subtitle: "Three places the prep work doesn't fit into the week."
stories: [
{
useCase: "Sunday night, 9pm",
title: "Rebuilding prep notes from scratch.",
scenario: "CRM is stale, email threads are everywhere, and an hour later you still aren't sure your prep is good enough for the call tomorrow.",
solutionLabel: "With Deal Room",
solution: "Your pre-call plan is already built. Review it in 5 minutes on your phone in the taxi.",
outcome: "→ You go in prepped and ready.",
icon: "clock"
},
{
useCase: "In the meeting",
title: "Trying not to say \"I'll get back to you on that\" again.",
scenario: "A competitor you don't recognize comes up, the customer asks a technical question you half-know, and pricing context isn't in front of you.",
solutionLabel: "With Deal Room",
solution: "Ask the AI in real time and get specific answers grounded in your catalog and their history.",
outcome: "→ You stay in the conversation instead of punting the hardest moments.",
icon: "message-square"
},
{
useCase: "Six months into an account",
title: "Picking up a big account gone cold.",
scenario: "There may be a cross-sell opportunity across another division or product line, but connecting the dots takes time you don't have.",
solutionLabel: "With Deal Room",
solution: "Cross-sell signals surface automatically, before the call even starts.",
outcome: "→ You see the opportunity before it slips by again.",
icon: "search"
}
]
---
title: "Four things that used to take hours. Now they just happen."
subtitle: "One workspace per account. Pre-call prep, cross-sell signals, real answers, and account history — all done before you sit down to your week."
features: [
{
title: "Pre-call plan, without the prep work",
description: "Deal Room reads your emails, CRM history, and deal context to generate objectives, stakeholder hot buttons, risk flags, competitive context, and next steps for this specific account.",
benefits: [
"Not a template - the actual plan for this account",
"Review it in minutes before the meeting",
"\"Generated a full negotiation analysis for a 5% cost reduction demand in a single session.\""
],
icon: "/images/icons/target.svg"
},
{
title: "Cross-sell you would not have spotted",
description: "It maps the customer's architecture against your full catalog across divisions and product families, so opportunities hiding in plain sight surface automatically.",
benefits: [
"430 cross-sell signals from 30 deal rooms in 10 weeks",
"Find opportunities across business lines you do not normally touch",
"See what is there before the call starts"
],
icon: "/images/icons/trending-up.svg"
},
{
title: "Ask it anything, get a real answer",
description: "Ask how your product compares to a competitor, what the customer said about pricing last year, or which SKU fits the application and get cited answers grounded in your catalog and customer history.",
benefits: [
"Specific answers, not generic LLM filler",
"Sources cited so you can check the reasoning",
"\"Summarized a 20-page RFP into a 1-page exec brief in one session.\""
],
icon: "/images/icons/search.svg"
},
{
title: "Stop rebuilding context every time",
description: "When an account goes quiet and then comes back to life, the history is still there - so you do not have to carry 30 accounts in your head or restart every handoff from zero.",
benefits: [
"Everything is there when you pick the account back up",
"5-10h saved per deal handoff",
"Handoffs do not start from scratch"
],
icon: "/images/icons/clock.svg"
}
]
---
title: "What sales people are saying."
quotes: [
{
quote: "Elevates our consultative selling, gives us confidence in our positioning and a clear competitive edge. We're faster, smarter, and have more strategic wins.",
author: "Tom Wichert",
title: "VP Sales",
company: "TDK Lambda"
},
{
quote: "There's so much information out there, but that's actually the problem. This puts it into a box that's manageable — so instead of drowning in research before a meeting, you're focused on what's actually going to make a difference. It saves a lot of time.",
title: "Senior Director of Sales",
company: "Global Semiconductor Company"
},
{
quote: "I've gotten three or four first meetings with companies we'd never spoken to before, and this tool is how I got them. I tell everyone on my team to use it. It finds contacts who aren't on LinkedIn. It opens doors that just weren't open before.",
title: "Sales Manager",
company: "Global Industrial Supplier"
}
]
---
title: "More pipeline. Less prep time. Reps who stick with it."
metrics: [
{ metric: "Pipeline expansion from 30 deal rooms in 10 weeks", result: "2x", url: "/solutions/deal-room", "product": "Pipeline"},
{ metric: "Saved per week for active users", result: "5-10h", url: "/solutions/deal-room", "product": "Efficiency" },
{ metric: "Of reps actively using Deal Room after 10 weeks", result: "100%", "product": "Usage", url: "/solutions/deal-room" }
]
---
eyebrow: "How it works"
title: "Set it up once. It runs from there."
subtitle: "After that, the work happens in the background. Every email you forward, every meeting you take, makes the next one sharper."
steps: [
{
id: "connect",
meta: "~20 min",
title: "Connect your accounts",
description: "Connect CRM and email (optional), then pull in history for the accounts you pick.",
cta: { label: "See integrations", href: "/platform/overview" }
},
{
id: "forward",
meta: "Ongoing",
title: "Forward emails as you go",
description: "Any customer email you forward makes the room smarter without creating another place you have to log updates."
},
{
id: "check-in",
meta: "~5 min",
title: "Check in before every meeting",
description: "Review the pre-call plan, scan the cross-sell tab, and ask anything you need before you walk into the meeting."
},
{
id: "compound",
meta: "Compounds",
title: "It gets better over time",
description: "After a few months, Deal Room becomes the deepest account intel you have ever had because it keeps compounding on the work you're already doing.",
cta: { label: "See it on your account", href: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo" }
}
]
---
title: "Inside a Deal Room"
subtitle: "The four key capabilties reps use before calls, during calls, and when an account wakes back up."
benefits: [
{
icon: "/images/icons/target.svg",
title: "Pre-Call Plan",
description: "Objectives, hot buttons, risk flags, competitive context, and next steps for your next meeting."
},
{
icon: "/images/icons/trending-up.svg",
title: "Cross-Sell Signals",
description: "Opportunities across your full catalog and the customer's architecture, surfaced automatically."
},
{
icon: "/images/icons/search.svg",
title: "Account Intel",
description: "Live signals layered on top of CRM - executive moves, news, competitive context, and account history."
},
{
icon: "/images/icons/bot.svg",
title: "AI Chat",
description: "Ask anything and get answers grounded in your catalog and customer history, with sources cited."
}
]
---
title: "Questions worth asking before you try anything new."
backgroundColor: "#F3F8FF"
items: [
{
title: "\"I don't have time to learn another tool.\"",
description: "Your first Deal Room takes about 20 minutes. After that, you mostly forward emails, review the prep, and ask questions. No extra data entry. No new system to live in."
},
{
title: "\"What if it gives me the wrong answer?\"",
description: "Every answer shows its sources so you can check the reasoning. There are 100+ quality checks per answer. It is not infallible, but it is accountable."
},
{
title: "\"Is my customer data actually private?\"",
description: "Your data never trains ept AI's models. All Deal Room data stays isolated and proprietary. On-premises deployment is available when required."
},
{
title: "\"Will I actually still be using this in three months?\"",
description: "100% of reps are actively using all core features at week 10 in our typical pilots. Teams don't abandon tools that make the job easier every week."
}
]
footerText: "Private by default, source-cited answers, and built to work with the CRM and email you already use."
---
title: "See a real Deal Room"
subtitle: "A short walkthrough of a live account workspace - pre-call plan, cross-sell signals, and cited AI answers."
provider: "vimeo"
videoId: "1186051967"
aspectRatio: "16:9"
maxWidth: "medium"
expandable: true
expandLabel: "Watch the 2-minute Deal Room walkthrough"
---
eyebrow: "Deal Room FAQ"
title: "What sales leaders ask about Deal Room"
items: [
{
question: "What is a Deal Room, exactly?",
answer: "A Deal Room is a live AI workspace for a single account. It maintains a continuously-updated Living Profile of that account — stakeholders, deals, products in use, cross-sell signals, competitive notes — and lets reps ask cited questions, generate pre-call plans, and see cross-sell alerts tied to real pipeline."
},
{
question: "How long does it take a rep to get value?",
answer: "Minutes. A rep can open a Deal Room on an existing account and run a pre-call plan before their next meeting. First setups take around 20 minutes; at week 10 of a 12-week pilot at Novanta, ~100% of reps were still using it and we had surfaced 430 cross-sell signals across 30 rooms."
},
{
question: "Does it replace our CRM?",
answer: "No. Deal Room reads from and writes back to your CRM. It is the intelligence layer your reps live in day to day; your CRM remains the system of record."
},
{
question: "How does it prevent hallucination?",
answer: "Every answer is grounded in your connected systems — CRM, email, documents, product data — and every response carries inline citations back to the source record. Reps can click through to verify before acting."
},
{
question: "What integrations are required?",
answer: "Demo-ready with minimal integration. Production deployments connect to Salesforce or HubSpot, email/calendar, and your document stores (Google Drive, SharePoint, Confluence). OAuth and webhooks cover the rest of your stack."
},
{
question: "Is it secure enough for enterprise deals?",
answer: "Deal Room runs in private cloud or on-prem, respects existing role-based access controls, and never uses your data to train shared models. Full security posture is available under NDA."
}
]
---
backgroundImage: "/images/feature_highlight.png"
backgroundColor: "transparent"
headline: "See your first Deal Room with an account you're actually working."
copy: "Bring a real account to the demo. We will generate a pre-call plan live so you can see exactly what you would be walking into your next meeting with. No commitment and no integration required."
ctaText: "Request a demo"
ctaUrl: "https://go.ept.ai/meetings/eptai-demo/ept-ai-demo"
ctaSecondary: "See the full platform"
ctaSecondaryUrl: "/platform/overview"
dataEvent: "cta-deal-room-demo"
```
---
## Contact ept AI — Talk to the team
- Route: `/contact`
- URL: https://www.ept.ai/contact/
- Description: Request a demo, ask a question, or get in touch with the ept AI team. Built for B2B tech OEM suppliers. Replies within one business day.
- Last modified: 2026-04-23
```markdown
# Contact ept AI
Request a demo, ask a question, or get in touch with the team.
Replies within one business day.
## Ways to reach us
- **Request a demo** — 30 minutes with our team walking through a live Deal Room and AI Product Channel on real questions. Book at https://go.ept.ai/meetings/eptai-demo/ept-ai-demo.
- **General inquiries** — email info@ept.ai.
- **Careers** — see open roles at https://www.ept.ai/careers/.
- **Security contact** — see https://www.ept.ai/.well-known/security.txt.
Canonical page: https://www.ept.ai/contact/.
```
---
## Product | ept AI
- Route: `/product`
- URL: https://www.ept.ai/product/
- Description: Redirects to the ept AI platform overview. Legacy product URL kept for inbound links.
- Last modified: 2026-09-24
```markdown
# ept AI Product
This legacy URL redirects to the platform overview.
See the full platform at https://www.ept.ai/platform/overview/
and the solution suite at https://www.ept.ai/solutions/overview/.
Canonical page: https://www.ept.ai/platform/overview/.
```
---
## ept AI Chat — Live Demo
- Route: `/ept-chat`
- URL: https://www.ept.ai/ept-chat/
- Description: Try the ept AI chat widget live. Experience how the Agentic Sales Platform answers complex product questions grounded in catalogs, docs, and customer data.
- Last modified: 2026-05-02
```markdown
# ept AI Chat — Live Demo
Try the ept AI chat widget live. This page embeds the same Agentic
Sales Platform interface that powers Deal Room, AI Product Channel,
and the AI Applications Engineer.
Ask complex product questions and see them answered with citations
grounded in real catalogs, documentation, and customer data.
Canonical page: https://www.ept.ai/ept-chat/.
```
---
## AI Sales Pro — Pricing | ept AI
- Route: `/pricing/aisalespro`
- URL: https://www.ept.ai/pricing/aisalespro/
- Description: Transparent pricing for AI Sales Pro from ept AI. Plans for complex-product sales teams.
- Last modified: 2026-05-02
```markdown
# AI Sales Pro — Pricing
Transparent pricing for AI Sales Pro from ept AI. Compare plans for
complex-product sales teams and pick the tier that matches your pipeline
and seat count.
For enterprise pricing, catalog-scale deployments, or annual contracts,
contact sales: https://www.ept.ai/contact/.
Canonical page: https://www.ept.ai/pricing/aisalespro/.
```
---
## Whitepapers | ept AI
- Route: `/whitepapers`
- URL: https://www.ept.ai/whitepapers/
- Description: Whitepapers on AI for complex B2B tech: sales, applications engineering, and product channels.
- Last modified: 2026-04-23
```markdown
# ept AI Whitepapers
In-depth whitepapers on AI for complex B2B tech: sales enablement,
applications engineering, product channels, and performance management.
- **Index (JSON)** — https://www.ept.ai/whitepapers/whitepapers.json
- **RSS feed** — https://www.ept.ai/whitepapers/rss.xml
- **Browse online** — https://www.ept.ai/whitepapers/
Each paper ships as both a downloadable PDF and an embeddable HTML
version with structured data for AI citation.
Canonical page: https://www.ept.ai/whitepapers/.
```
---
## Webinars | ept AI
- Route: `/webinars`
- URL: https://www.ept.ai/webinars/
- Description: Live and recorded webinars on deploying AI for complex-product sales and applications engineering.
```markdown
# ept AI Webinars
Live and recorded webinars on deploying AI for complex-product sales,
applications engineering, and customer channels.
Canonical page: https://www.ept.ai/webinars/.
```
---
## Resources | ept AI
- Route: `/resources`
- URL: https://www.ept.ai/resources/
- Description: Whitepapers, webinars, documentation, and guides for implementing AI in B2B sales and channel operations.
```markdown
# ept AI Resources
A curated hub for whitepapers, webinars, documentation, and guides on
implementing AI in B2B sales and channel operations.
- **Whitepapers** — https://www.ept.ai/whitepapers/
- **Webinars** — https://www.ept.ai/webinars/
- **Documentation** — https://docs.ept.ai/
Canonical page: https://www.ept.ai/resources/.
```
---
## Privacy Notice | ept AI
- Route: `/privacy`
- URL: https://www.ept.ai/privacy/
- Description: ept AI privacy notice and data-handling practices.
- Last modified: 2026-04-23
```markdown
# Privacy Notice
ept AI privacy notice and data-handling practices. See the full
current version at https://www.ept.ai/privacy/.
For privacy questions, contact info@ept.ai.
```
---
## Terms of Service | ept AI
- Route: `/terms`
- URL: https://www.ept.ai/terms/
- Description: ept AI terms of service.
- Last modified: 2026-04-23
```markdown
# Terms of Service
ept AI terms of service. See the full current version at
https://www.ept.ai/terms/.
For legal questions, contact info@ept.ai.
```
---