{
  "docId": "019dd923-5f6a-713a-9a82-80676d8a1a88",
  "docSlug": "mYPVxFcpKNzmMMr27epc",
  "documentTitle": "We got an exclusive look at the pitch deck AI transcription startup Verbit used to raise $157 million as it eyes a near-term IPO",
  "authorId": "Pitchdecks",
  "authorName": "Verbit",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 6,
  "pageCount": 21,
  "prevPage": 5,
  "nextPage": 7,
  "slideType": "problem_statement",
  "function": "frame_problem",
  "density": "dense",
  "nDataPoints": 1,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "paragraph",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f6a-713a-9a82-80676d8a1a88/6",
  "deckHref": "/decks/019dd923-5f6a-713a-9a82-80676d8a1a88",
  "deckJsonHref": "/decks/019dd923-5f6a-713a-9a82-80676d8a1a88.json",
  "deckAnchorHref": "/decks/019dd923-5f6a-713a-9a82-80676d8a1a88#slide-6",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "However, technology-only solutions are only 75-80% accurate, which is not enough for nearly all professional transcription use cases",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-d521-73bf-9b9e-efa47db9bc35",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 1,
        "x": 0,
        "y": 0.15
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "18b9cc3f-f383-4837-9474-9e83c20296d9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "accuracy: 75-80%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-d521-73bf-9b9e-f124c9c3089c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.67,
        "x": 0.165,
        "y": 0.375
      },
      "kind": "paragraph",
      "text": "Speech recognition technology is making headway",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0a46382a-8e42-4c68-8995-34ed4253ca77",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.772,
        "x": 0.114,
        "y": 0.75
      },
      "kind": "paragraph",
      "text": "However, technology-only solutions are only 75-80% accurate, which is not enough for nearly all professional transcription use cases",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d4865d7e-607f-40c3-995a-c38a071a9a26",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.065,
        "w": 0.348,
        "x": 0.326,
        "y": 0.06
      },
      "kind": "title",
      "text": "Market Challenges",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "af9e6053-300b-4299-9ba2-f0f5a6112e6c",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Problem Statement Canvas",
      "slug": "problem-statement-canvas",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "1aa6f074-8d6f-4116-8792-06804963567b",
      "evidence": "Description of market challenges and accuracy issue",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 6,
      "from": 5,
      "beatId": "c9f44802-fb6f-4b2a-a1c0-deec598766b6",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Problem (Identify pain)",
      "beatSlug": "problem-agitate-solution-problem-identify-pain",
      "evidence": "Slides 5-6 present market challenges and pain points",
      "position": 0,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    },
    {
      "to": 6,
      "from": 6,
      "beatId": "012748d5-73a4-4f29-a2b0-e02cc67c5a28",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Agitate (Make it worse)",
      "beatSlug": "problem-agitate-solution-agitate-make-it-worse",
      "evidence": "Slide 6 further emphasizes market challenges",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 6,
      "from": 5,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "163e254c-fa6a-4861-af27-60003b6c2c8b",
      "evidence": "Slides 5-6 emphasize market challenges and pain points",
      "position": 0,
      "objective": "Highlight the cost of not addressing transcription challenges",
      "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
}