{
  "docId": "019dd923-5f69-752d-a9b5-28114679b90a",
  "docSlug": "D3bsnfoVgJ8Wl4k6xGlv",
  "documentTitle": "This San Francisco startup has raised $12 million for its speech-recognition technology that was born out of a 'dark matter' experiment. Here's the pitch deck it used.",
  "authorId": "Pitchdecks",
  "authorName": "Deepgram",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 18,
  "pageCount": 19,
  "prevPage": 17,
  "nextPage": 19,
  "slideType": "use_of_funds",
  "function": "state_next_steps",
  "density": "dense",
  "nDataPoints": 2,
  "notes": "The slide uses a two-column layout to contrast product development goals with financial and operational milestones.",
  "elementsJson": [
    "action_title",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f69-752d-a9b5-28114679b90a/18",
  "deckHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a.json",
  "deckAnchorHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a#slide-18",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "We've derisked tech, product, & sales. Now we're going to market.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-9d66-7639-a077-716b81e16fa2",
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    {
      "bbox": {
        "h": 0.4,
        "w": 0.4,
        "x": 0.35,
        "y": 0.3
      },
      "kind": "list",
      "text": "Raise A: $3.6M Seed Raised: YCombinator, Compound, NVIDIA, Slack; Grow Team, Infra, & Data: Marketing, Sales, Engineering, Servers, Data Labeling; $10M ARR: In 18 months",
      "attrs": null,
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      "componentId": "3bce343a-d970-4ad7-87a6-b5a59c525cec",
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      "bbox": {
        "h": 0.5,
        "w": 0.3,
        "x": 0.05,
        "y": 0.3
      },
      "kind": "list",
      "text": "What's next: Speech Recognition, Higher Accuracy, Languages, Lower Cost, Speech Understanding, Speaker Recognition, Sentiment Analysis, Topic Classification, Gender Detection, Age Identification, Lead Qualification, Compliance Scoring",
      "attrs": null,
      "subkind": "bullet",
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      "componentId": "f5b0ceef-55ac-4a9d-bf6b-054f1fde18b8",
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    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "ARR: $10M",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
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      "componentId": "019dd952-9d66-7639-a077-77e4b06a36fa",
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      "bbox": {
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        "w": 0.6,
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      },
      "kind": "title",
      "text": "We've derisked tech, product, & sales. Now we're going to market.",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "76105d4f-167f-4f03-a140-4ce526db6a9c",
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    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 19,
      "from": 4,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "4a4b82af-a7b7-43e8-9021-86c977541460",
      "evidence": "The deck implies that not using Deepgram's solution results in missed opportunities and inefficiencies.",
      "position": 0,
      "objective": "Highlight the cost of not adopting Deepgram's technology",
      "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"
    }
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  "thumbSrcAlt": null,
  "locked": true
}