{
  "docId": "019dd923-605d-726d-81a4-062653b9a1ac",
  "docSlug": "bi-35336c8b45abb80f",
  "documentTitle": "Check out the decks 4 AI startups used to raise millions from VCs",
  "authorId": "Pitchdecks",
  "authorName": "Qevlar AI",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.5,
  "pageNumber": 23,
  "pageCount": 42,
  "prevPage": 22,
  "nextPage": 24,
  "slideType": "solution",
  "function": "present_solution",
  "density": "overcrowded",
  "nDataPoints": 0,
  "notes": "The slide highlights two core product pillars: Tracing & Debugging and Production Monitoring, each accompanied by a UI screenshot.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "bullet_list",
    "screenshot"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605d-726d-81a4-062653b9a1ac/23",
  "deckHref": "/decks/019dd923-605d-726d-81a4-062653b9a1ac",
  "deckJsonHref": "/decks/019dd923-605d-726d-81a4-062653b9a1ac.json",
  "deckAnchorHref": "/decks/019dd923-605d-726d-81a4-062653b9a1ac#slide-23",
  "components": [
    {
      "bbox": {
        "h": 0.22,
        "w": 0.4,
        "x": 0.51,
        "y": 0.69
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8e93a35a-f675-4672-acf0-6786752dc967",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.22,
        "w": 0.4,
        "x": 0.51,
        "y": 0.39
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b64a01e4-1172-4d7b-9b2c-5ca203c7670d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.35,
        "x": 0.11,
        "y": 0.76
      },
      "kind": "list",
      "text": "Log feedback from your users and visualize cost, latency & quality metrics in production. Quickly slice and dice your data on a cohort level for deeper analysis. Detect anomalies with online evals that run asynchronously against your traces.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "19e1d89e-d538-427d-b23e-fac8cc941608",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.35,
        "x": 0.11,
        "y": 0.47
      },
      "kind": "list",
      "text": "Allow engineers to iterate in code and log traces for debugging. Visually inspect traces & zoom in to pinpoint errors. Auto-instrument 15+ LLMs and vector DBs with 3-lines of code.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "662b2b33-7024-4c7a-ab45-59c9b463197c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.75,
        "x": 0.11,
        "y": 0.26
      },
      "kind": "paragraph",
      "text": "Monitor cost, latency and performance metrics by evaluating your live production traffic and tracking feedback from your users. Discover where, when and how your models fail in production and use those insights to continuously improve your app.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a66c6d60-1551-4979-a063-562e5291911c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.35,
        "x": 0.11,
        "y": 0.7
      },
      "kind": "title",
      "text": "Monitor cost, latency, and quality metrics in production",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "08def6b6-d214-4f48-a2e9-48d1d3d219d3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.35,
        "x": 0.11,
        "y": 0.41
      },
      "kind": "title",
      "text": "Trace end-to-end AI pipelines with OpenTelemetry",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "96d7d5cf-055d-4778-b6c8-bc27a00495bc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.6,
        "x": 0.11,
        "y": 0.15
      },
      "kind": "title",
      "text": "Debug and improve your agents with traces",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ab4f9ec1-ceb4-41df-bdd6-8b1f5c7326b0",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "List presentation",
      "slug": "list-presentation",
      "agent": null,
      "layer": "slide",
      "matchId": "b0fb8be3-4fb5-40e5-89f2-77244c168f52",
      "evidence": "The slide contains a list/bullet with multiple items.",
      "confidence": 0.9
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}