Machine Learning in VCs

VCs will be using more machine learning technology to source and process deals going forward:

  • Spot market gaps and trends. Avoid missing any opportunities, meet companies earlier to build relationships
  • Better portfolio management (tracking and follow-on financing and exit planning)
  • Match co-investors to new investments and portfolio follow on rounds
  • Competitor intelligence
  • Find potential acquirers and IPOs - exit planning
  • More accurate pricing/valuation models
  • Predict likelihood of startup success (shut down, raise next round, IPO/trade sale etc.)
  • People database, traits of potential founders

If you are interested to discuss about this or share what you are doing around this topic, please email me, I love to chat.

List of VCs that employ machine learning to their deal process

AI Based
Quantum Light Capital* (new)
Connectic Ventures
Early Bird VC
EQT Ventures
Correlation Ventures

Telstra Ventures
645 Ventures
IBB Ventures
Balderton Capital
Backed VC
btov Partners
Tribe Capital
Goodwater Capital
Google Ventures
WR Hambrecht+Co/Growth Science
Project A
Hone Capital
InReach Ventures
Fly Ventures
Moonfire Ventures
Drive Capital - Herbie

Companies in this Space


Resources - Nice read to see what the future might look like in venture capital fund management

Academic Research Papers

Picking Winners: A Data Driven Approach to Evaluating the Quality of Startup Companies 1706.04229.pdf
Quantitative VC: A New Way to Growth

Coming up Soon > Ranking of the Funds Above