{
  "docId": "019dd923-5ca1-7489-b636-1905a2ddbc1f",
  "docSlug": "ad42cfa8e31c0209",
  "documentTitle": "Rise of Agentic AI Report",
  "authorId": "Capgemini",
  "authorName": "Capgemini",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 100,
  "pageCount": 116,
  "prevPage": 99,
  "nextPage": 101,
  "slideType": "market_landscape",
  "function": "present_framework",
  "density": "sparse",
  "nDataPoints": 0,
  "notes": "The slide uses a layered table structure to map the AI ecosystem.",
  "elementsJson": [
    "logo_grid",
    "comparison_table"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b636-1905a2ddbc1f/100",
  "deckHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f#slide-100",
  "components": [
    {
      "bbox": {
        "h": 0.05,
        "w": 0.55,
        "x": 0.06,
        "y": 0.87
      },
      "kind": "source-note",
      "text": "Source: Capgemini Research Institute analysis. *Logos and trademarks belong to respective owners. Some players offer products/services that span multiple layers.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "aa206580-c21f-4187-a8f2-6946ec6c277c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.65,
        "x": 0.06,
        "y": 0.25
      },
      "kind": "table",
      "text": "Layered table showing categories: Frontend/applications, Memory, Tools, Agentic observability, Agentic orchestration, Foundational models, Database, Infra/base, GPU/CPU provider",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2bbfabf7-0dd7-4221-9ea7-5fefdc324894",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.7,
        "x": 0.06,
        "y": 0.18
      },
      "kind": "title",
      "text": "The AI agents/agentic AI ecosystem - examples of companies and startups with products/services in each layer of the AI tech stack",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "957d9931-828d-473f-81d6-d18c5d7da947",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "2x2 matrix",
      "slug": "matrix-2x2",
      "agent": null,
      "layer": "slide",
      "matchId": "37c13a7b-bf48-4024-905f-db8356e91622",
      "evidence": "Layered table showing categories: Frontend/applications, Memory, Tools, Agentic observability, Agentic orchestration, Foundational models, Database, Infra/base, GPU/CPU provider",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "tech-stack-mapping",
      "slug": null,
      "matchId": "941c38e8-19bb-4854-b12c-1187f12e58aa",
      "evidence": "Categorization of companies by functional layers of the AI technology stack.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}