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
Exhaustive list - https://www.techfor.vc/data-driven-vcs/
AI Based
Quantum Light Capital* (new)
Connectic Ventures
Early Bird VC
EQT Ventures
Rocketship.vc
MorphAIs
Correlation Ventures
Data-Driven
Telstra Ventures
Speedinvest
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
Signalfire
WR Hambrecht+Co/Growth Science
Project A
Hone Capital
InReach Ventures
Fly Ventures
Signalfire
Moonfire Ventures
Equiam
Drive Capital - Herbie