26-27 Mar, 2026
VCCircle

Artificial Intelligence in PE/VC

About the Training

AI in Venture Capital: Transforming the Investing Process

Artificial intelligence is rapidly reshaping the venture capital and private equity landscape. From deal sourcing and startup discovery to portfolio value creation and governance, AI is becoming a core capability for funds that want to stay competitive, move faster, and make more informed investment decisions. This two-day intensive masterclass decodes how leading global funds are integrating AI across the investment lifecycle—and how participants can deploy the same tools, frameworks, and practices within their organisations.

Across curated sessions, live demonstrations, and practical use-cases, the program provides a complete view of AI’s role in modern investing: smarter funnels, sharper insights, operational efficiency, and responsible implementation. Designed for investors, fund managers, analysts, innovation teams, and strategy leaders, this masterclass bridges technical concepts with real-world investing workflows.

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Overview

Key Highlights

  • Learn how to use AI to source high-potential startups earlier and more efficiently.
  • Apply predictive analytics to strengthen screening, scoring, and deal selection.
  • Automate financial, legal, and compliance diligence with AI-driven risk detection.
  • Use LLMs for data-led market intelligence, TAM estimation, and thesis design.
  • Deploy AI copilots to enhance portfolio operations across marketing, finance, and HR.
  • Build responsible, transparent, and bias-aware AI frameworks for investment decision-making.

Agenda

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9:30 AM onwards
  • 9:30 AM – 9:40 AM

    Welcome & Opening Remarks

    Key Topics

    Overview of AI’s role in VC/PE; global trends; data-driven competitiveness.

  • 9:40 AM – 10:40 AM

    Session 1: AI in Deal Sourcing & Startup Discovery

    Key Topics

    NLP & scraping models; identifying early signals; demo of AI sourcing tools.

  • 10:40 AM – 11:40 AM

    Session 2: Screening & Selection Using Predictive Models

    Key Topics

    Sentiment & traction analytics; founder-market-fit scoring; global fund benchmarks.

  • 11:40 AM – 12:40 PM

    Session 3: Automating Due Diligence & Risk Detection

    Key Topics

    AI for parsing financials & legal docs; red-flag detection; compliance automation.

  • 12:40 PM – 1:00 PM

    Day 1 Recap & Q&A

    Key frameworks + tools recap.

9:30 AM onwards
  • 9:30 AM – 10:30 AM

    Session 1: AI-Driven Market Intelligence & Thematic Investing

    Key Topics

    Using LLMs for sector analysis & TAM estimation; data-driven thesis design.

  • 10:30 AM – 11:30 AM

    Session 2: Portfolio & Operational AI - Empowering Founders

    Key Topics

    AI copilots for marketing/finance/HR; talent mapping & culture fit.

  • 11:30 AM – 12:30 PM

    Session 3: Portfolio Monitoring, Reporting & ESG Compliance

    Key Topics

    AI dashboards for LP updates, performance tracking & ESG automation.

  • 12:30 PM – 1:30 PM

    Session 4: Risks, Bias & Responsible AI in Investing

    Key Topics

    Bias and explainability; AI ethics and regulation; human-in-loop frameworks.

  • 1:30 PM – 1:45 PM

    Closing Remarks & Key Takeaways

    Top AI trends for VC 2025 and participant roadmap.

DAY 2
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