Fei-Fei Li is an angel investor and operator angel based in Stanford, California, United States with 9 known investments: Twelve Labs, Resolve.ai, Emerald AI, Yutori, Doctronic, Simile, Coactive AI, Obin AI and Delphina.
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Investment focus
- Stage
- Seed
- Sector
- AIEducationHealthcare
- Focus
- BiotechComputer VisionDeepTechDigital HealthEdTechGenerative AIHuman-Centered AIMachine LearningRobotics
Contacts
Fei-Fei Li portfolio companies (9)
- Twelve Labs
- Resolve.ai
- Emerald AI
- Yutori
- Doctronic
- Simile
- Coactive AI
- Obin AI
- Delphina
Investor Profile
The listing covers sectors AI, Education and Healthcare, and focus areas Biotech, Computer Vision, DeepTech and Digital Health. Startups operating in these areas may find Fei-Fei Li relevant.
Stage-wise, the known deals cluster around Seed rounds.
The portfolio and focus above give founders context on whether Fei-Fei Li matches their raise.
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Frequently asked questions
Who is Fei-Fei Li?
Fei-Fei Li is an angel investor and operator angel based in Stanford, California, United States with 9 known investments on file, among them Twelve Labs, Resolve.ai and Emerald AI. The sections above list the sectors and stages attached to that record.
What does Fei-Fei Li invest in?
Listed sectors include AI, Education and Healthcare; listed focus areas include Biotech, Computer Vision, DeepTech and Digital Health. Those tags come from the companies attached to this profile, so they read as a record of what has been backed rather than a stated preference for what comes next.
What stage does Fei-Fei Li invest at?
The known deals of Fei-Fei Li include Seed rounds. Stage is the strongest single filter when you build a target list: an investor with no record at your stage rarely starts with you.
How do I contact Fei-Fei Li?
An email address and a LinkedIn page are on file for Fei-Fei Li. The address stays masked on this page and is readable inside RaiseHunt after you create an account. The database holds no phone number for this profile.
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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal