{
  "docId": "019dd923-5e88-73ef-bd5c-cd66aa158518",
  "docSlug": "4ffda804348b4274",
  "documentTitle": "2024 Accel AI eating software",
  "authorId": "Accel",
  "authorName": "Accel",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 25,
  "pageCount": 55,
  "prevPage": 24,
  "nextPage": 26,
  "slideType": "data_table",
  "function": "summarize",
  "density": "balanced",
  "nDataPoints": 48,
  "notes": "Data as of Oct-10 2024",
  "elementsJson": [
    "headline_text",
    "data_table",
    "logo_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-cd66aa158518/25",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518#slide-25",
  "components": [
    {
      "bbox": null,
      "kind": "metric",
      "text": "Funding: $37B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41ab-72d9-bba3-1e84072a5840",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.04,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: Dealroom. Note: Data as of Oct-10 2024",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "570967ef-56c7-4ad3-a791-1525e0d18a46",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.43,
        "x": 0.04,
        "y": 0.32
      },
      "kind": "table",
      "text": "US Companies table",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "63de7e1e-0901-491a-a1b9-faad76bcaff7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.43,
        "x": 0.53,
        "y": 0.32
      },
      "kind": "table",
      "text": "Europe Companies table",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ffa55ee1-c30d-459d-97c3-b92f07e4aeb9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.85,
        "x": 0.04,
        "y": 0.09
      },
      "kind": "title",
      "text": "Top 6 GenAI companies in each region accounting for 2/3 or $37B of total GenAI funding since 2023",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "51bb1900-631e-4b8c-a9cc-aa39b92cf17f",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de0ca-69b5-7585-8b39-0bf487604b6b",
      "evidence": "Title: 'Top 6 ... 2/3 or $37B'",
      "confidence": 80
    },
    {
      "name": "Small Multiples",
      "slug": "small-multiples",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de0ca-69dc-758e-90cd-788879913d1d",
      "evidence": "Side-by-side US vs EU tables",
      "confidence": 70
    },
    {
      "name": "Table data",
      "slug": "table-data",
      "agent": null,
      "layer": "slide",
      "matchId": "796f3d67-2885-493d-bf0f-cd2723242ac4",
      "evidence": "table/data: Europe Companies table table/data: US Companies table",
      "confidence": 0.8
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 34,
      "from": 22,
      "beatId": "019de0ca-5d76-7536-9a66-ca06db7be8d8",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Solution & Approach",
      "beatSlug": null,
      "evidence": "GenAI funding surge, model gains, three leagues, AI delivering value",
      "position": 3,
      "confidence": 82,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 34,
      "from": 22,
      "beatId": "019de0ca-5e95-77de-9050-0bbd357965d0",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "What Could Be",
      "beatSlug": null,
      "evidence": "GenAI funding +65%, OpenAI hits $3B fastest, value delivered",
      "position": 4,
      "confidence": 55,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 26,
      "from": 22,
      "name": "The Reveal",
      "slug": "05-the-reveal",
      "bestFor": "Product launches, strategic pivots, unexpected findings",
      "matchId": "019de0ca-5f5d-725b-8626-23e769dbb43f",
      "evidence": "Setup (funding back to pre-COVID ex-GenAI p23) builds to reveal that GenAI is 40% of recovery (p22, p26).",
      "position": 4,
      "objective": "Reveal GenAI as the recovery driver",
      "structure": "Setup the Question -> Build Suspense -> The Big Reveal",
      "confidence": 78,
      "description": "Build mystery and anticipation, then deliver a surprising or powerful conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}