<!--
  This markdown file mirrors the canonical content of an ept AI page.
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  Canonical URL: https://www.ept.ai/industries/energy/
  Last modified: 2026-04-23
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<Component name="PageMeta">
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"
}
</Component>

---

<Component name="HeroSection">
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"
</Component>

---

<Component name="SplitCards">
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"
    }
  }
]
</Component>

---

<Component name="FeatureHighlight">
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"
</Component>

---

<Component name="SolutionCardRow">
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"
  }
]
</Component>

---

<Component name="SecurityList">
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."
  }
]
</Component>

---

<Component name="CTA">
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"
</Component>