{
  "docId": "019dd923-5fec-763b-95d2-392eb973825d",
  "docSlug": "bi-18d49b945dd893d5",
  "documentTitle": "EnCharge AI has secured $100 million in a Tiger Global-led round",
  "authorId": "Pitchdecks",
  "authorName": "EnCharge AI",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 5,
  "pageCount": 9,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "unfair_advantage",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 3,
  "notes": "The slide uses a numbered list to structure the core value proposition.",
  "elementsJson": [
    "headline_text",
    "numbered_list",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fec-763b-95d2-392eb973825d/5",
  "deckHref": "/decks/019dd923-5fec-763b-95d2-392eb973825d",
  "deckJsonHref": "/decks/019dd923-5fec-763b-95d2-392eb973825d.json",
  "deckAnchorHref": "/decks/019dd923-5fec-763b-95d2-392eb973825d#slide-5",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Solved analog’s noise & robustness problem, to unlock 20X higher efficiency than typical digital (150 TOPS/W vs. 5-10 TOPS/W), using standard supply-chain CMOS.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-abe9-733c-81a9-e0947bda2a15",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.3,
        "x": 0.65,
        "y": 0.25
      },
      "kind": "image",
      "text": "In-memory computing dataflow chip (16 nm)",
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "baa03f52-f0d7-4e42-8410-aeb4343d05ec",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.55,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "list",
      "text": "1. Hardware: Solved analog's noise & robustness problem, to unlock 20X higher efficiency than typical digital (150 TOPS/W vs. 5-10 TOPS/W), using standard supply-chain CMOS. 2. Architecture: Virtualized analog in-memory computing architecture enables programmable and scalable AI, from vision models to LLMs. 3. Software: Seamless software stack, high-performance compiler, operator support for customized AI.",
      "attrs": null,
      "subkind": "numbered",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "14ef8f0e-f508-43e1-b7c1-a5540d090a54",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "TOPS/W: 20X",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-abe9-733c-81a9-e47fc2da8db5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.5,
        "x": 0.05,
        "y": 0.14
      },
      "kind": "subtitle",
      "text": "Differentiated, patented, demonstrated across five generations of silicon.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "db8ceb7c-02e1-4948-9c44-739325ee9f43",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "Where does EnCharge's advantage come from?",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cfb4b415-56f7-4878-ba42-c3a20ed2b1ea",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 9,
      "from": 2,
      "beatId": "52645d6e-6a3a-4596-9272-b7ec79ea18de",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Why Now",
      "beatSlug": "sequoia-pitch-why-now",
      "evidence": "The deck starts with a 'why now' section, emphasizing the timeliness of EnCharge AI's solution.",
      "position": 0,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 6,
      "from": 5,
      "beatId": "9ac375f4-77b5-467e-96d8-76ab459f8992",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution",
      "beatSlug": "sequoia-pitch-solution",
      "evidence": "The deck highlights EnCharge AI's competitive advantage and efficiency.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 9,
      "from": 2,
      "name": "Why Now",
      "slug": "15-why-now",
      "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
      "matchId": "3b1c1d59-d5bd-4d79-9c8e-583f226d8368",
      "evidence": "The deck dedicates multiple slides to the 'why now' section.",
      "position": 0,
      "objective": "Explain why EnCharge AI is timely",
      "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
      "confidence": 0.8,
      "description": "Create temporal urgency by proving that the window of opportunity is opening or closing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}