How does

Alumni Ventures

Use AI?

Faster deal flow discovery and evaluation

Project Overview

Enhancing deal sourcing by scanning public data and networks for high-potential startups.

Layman's Explanation

Instead of waiting for great startups to show up, Alumni Ventures uses AI to go out and find them in the wild—before everyone else does.

Details

Alumni Ventures uses AI, particularly natural language processing, to analyze public information, news, and signals across the startup ecosystem. The system scans various online sources and internal networks to surface emerging companies that match their investment theses. This helps their team proactively identify promising startups early and evaluate them more efficiently, improving the quality and speed of deal sourcing.

Analogy

Like having a truffle-sniffing dog that hunts down the best hidden gems in a forest of startups.

Machine Learning Techniques Used

  • Natural Language Processing: Analyzes public data for startup deal sourcing.
  • Entity Recognition: Matches companies for evaluation.
  • More Use Cases in

    Finance

    3

    /5

    Novelty Justification

    AI-driven deal sourcing is a growing trend in finance, but not yet a transformative process innovation.

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