AI and machine learning investors in San Francisco
This is the most competitive segment in the database and the one where positioning matters most, because a large share of these investors have already seen a company that sounds like yours this quarter.
How to approach this segment
The question that kills most AI pitches here is not "does it work" but "why does this stay defensible when the underlying models improve". Investors in this segment have watched wrappers get absorbed by model releases repeatedly, so an answer grounded in proprietary data, workflow depth, or distribution beats one grounded in model quality.
Be specific about what is actually yours. Naming the models you build on, rather than obscuring it, reads as confidence — the founders who get caught out are the ones who imply proprietary models and cannot substantiate it under a technical question.
What else these investors fund
Focus areas most often listed alongside Artificial Intelligence & Machine Learning (AI/ML) by investors in this segment. Useful for judging whether an adjacent framing of your company would widen or narrow your list.
- Software 93
- Big Data & Analytics 90
- SaaS 88
- FinTech 84
- Information Technology 76
- Healthcare 70
- E-Commerce 65
- Developer Tools 60
See which investors these are
Individual investor records — firm, focus and each firm's own contact route — are not published on this page. Upload your deck and SendVC matches you against 5,000+ verified contacts — plus additional investors its AI finds and validates across the web for your specific startup, so the database is the floor of reach rather than the ceiling — then writes a personalized email per investor.