{
  "docId": "019dd923-605c-759f-b6b2-1cfd946ef0af",
  "docSlug": "bi-db4be85736bdac8f",
  "documentTitle": "Check out the 4 pitch decks these AI startups used to raise $31.2m",
  "authorId": "Pitchdecks",
  "authorName": "viso.ai",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 10,
  "pageCount": 42,
  "prevPage": 9,
  "nextPage": 11,
  "slideType": "solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide highlights the versatility of the platform by listing diverse use cases ranging from safety to retail analytics.",
  "elementsJson": [
    "action_title",
    "bullet_list",
    "screenshot"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605c-759f-b6b2-1cfd946ef0af/10",
  "deckHref": "/decks/019dd923-605c-759f-b6b2-1cfd946ef0af",
  "deckJsonHref": "/decks/019dd923-605c-759f-b6b2-1cfd946ef0af.json",
  "deckAnchorHref": "/decks/019dd923-605c-759f-b6b2-1cfd946ef0af#slide-10",
  "components": [
    {
      "bbox": {
        "h": 0.5,
        "w": 0.25,
        "x": 0.7,
        "y": 0.25
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cc28040c-0fa8-41d2-84ca-6c650c1ea265",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.45,
        "y": 0.37
      },
      "kind": "list",
      "text": "Defect Detection, Footfall Analysis, Crowd Analysis, AI Vision Inspection, Object Detection, Counting, Equipment Assessment, Number Plate Reading, Color Recognition, Emotion Analysis",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8303e315-02de-40d5-911f-48528e02a6ad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.145,
        "y": 0.37
      },
      "kind": "list",
      "text": "People Counting, Time Process Analysis, Health and Safety EHS, Pose and Gaze Estimation, Event, Intrusion Detection, Abandoned Object Detection, Vehicle, Traffic Analysis, Text, Label Recognition, Barcode Reading",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9c0147cf-63aa-40be-91dd-4cb83fa42d0e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.71,
        "x": 0.145,
        "y": 0.09
      },
      "kind": "title",
      "text": "Any business can build their AI vision systems",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "87d1d8e8-7cba-49e2-a0a6-4953b9f7b117",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.15,
        "x": 0.145,
        "y": 0.31
      },
      "kind": "title",
      "text": "Applications",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "16cec5ac-d187-4ab0-a2b4-3678b9017e95",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 10,
      "from": 5,
      "beatId": "9fe3dc5b-a4a1-4ab2-bd72-d9848b73a615",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution & Approach",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "Viso Suite builds computer vision with no-code",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 10,
      "from": 4,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "d26c2a02-3dbb-44a9-93d5-6e4d4a5e5e21",
      "evidence": "The deck highlights the struggles of businesses in using computer vision and the benefits of Viso Suite",
      "position": 0,
      "objective": "What are the costs of not using efficient AI vision infrastructure?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.6,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}