{
  "id": 19601995,
  "title": "How I use AI in venture capital",
  "url": "https://urgent.news/2026/11/12/how-i-use-ai-in-venture-capital",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-12T05:00:44.000Z",
  "source": {
    "name": "e27",
    "slug": "e27",
    "url": "https://e27.co/how-i-use-ai-in-venture-capital-20261109/"
  },
  "original_language": "en",
  "account": "Venture Capital investors rely on AI to streamline their investment decision-making process. A key productivity boost has come from constructing a proprietary vector database that leverages large language models (LLMs) to convert unstructured pitch decks and financial models into structured data. In addition, data engineering extracts, transforms, and loads information from social platforms, helping to identify high-profile technical talent announcing new projects. This allows venture funds to maintain a high-quality, low-volume pipeline, with approximately 100-120 deals reviewed each month.\n\nAI-powered tools enable the evaluation of pitch decks, tracking a startup's digital footprint from product development to hiring, and detecting contradictions between a founder's statements and call transcripts. The AI-driven approach also benefits the investment decision-making phase, which remains an area for refinement. Quantifying and accurately inputting the drivers behind judgement and decision-making can be challenging, but the implementation of AI technology has made the venture capitalist's job easier and more efficient, allowing them to focus on analyzing exciting projects within their sector.",
  "summary": "As a Venture Capital (“VC”) investor, making timely and data-driven investment decisions sits at the core of what we do. Yet, we often come across common problems within our investment process. These have traditionally created bottlenecks, inefficiencies and ultimately sometimes lead us to making untimely or wrong investment decisions. A typical VC investment process The […] The post How I use AI…",
  "key_points": [
    "Venture capital firms use AI to streamline investment decision-making.",
    "Proprietary vector database converts unstructured data into structured format.",
    "AI tools evaluate pitch decks and detect contradictions in founder's statements."
  ],
  "editors_take": "Automating the extraction of structured data from unstructured documents shifts the venture capitalist's role from manual data entry toward high-level analysis of curated, high-quality investment pipelines.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}