Investor profile
Lake Dai
Angel, Operator angel & Adjunct Professor, Applied AI & AI Governance at Carnegie Mellon University, Advisory Board Member at AngelList, Founder at Sancus Ventures, Mentor at Google
An angel investor and operator angel based in San Francisco, California, United States, Lake Dai has one known investment, Workera.
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Investment focus
Contacts
Lake Dai portfolio company (1)
- Workera
Affiliated funds' portfolios
Adjunct Professor, Applied AI & AI Governance at Carnegie Mellon University, whose known portfolio counts 9 companies
- Skild AI
- BlastPoint
- Coheso
- NovoLINC
- ViralMoment
- Arieca
- Trainwell
- CapSen Robotics
- RoboForce
Advisory Board Member at AngelList, whose known portfolio counts 30 companies
- Magma
- LeoLabs
- Anveshan
- Elixir
- EquityList
- The Hosteller
- Comet
- Datakrew
- HealthCred
- Proost69
- Vidyut
- axiTrust
- and 18 more
Founder at Sancus Ventures, whose known portfolio counts 11 companies
- Artie
- CipherOwl Inc
- Silicon Data
- CipherOwl
- inshAllah
- ALIGNMT AI
- Aomni
- Exceeds
- Opennote
- Redcoat AI
- Pax AI
Mentor at Google, whose known portfolio counts 10 companies
- Anthropic
- Apptronik
- SandboxAQ
- Indigo
- AI21 Labs
- HelloSky
- QuEra Computing
- Baseload Capital
- Markeret
- ONE Development
Investor Profile
The listing covers sectors AI, Education, Healthcare and SaaS, and focus areas AI Infrastructure, Biotech, Cloud Infrastructure and Enterprise SaaS. Startups operating in these areas may find Lake Dai relevant.
Lake Dai is listed for Pre-Seed, Seed and Series A rounds in the database.
The portfolio and focus above give founders context on whether Lake Dai matches their raise.
Colleagues
Showing 20 of 232
Ed Roman
Startup Investor and Syndicate Lead
Palo Alto, United States
Dave Mawhinney
Founding Executive Director
Pittsburgh, United States
Ray Lane
Board Trustee
San Francisco, United States
Jake Zeller
Advisor
San Francisco, United States
Sean Bill
Syndicate Lead
San Francisco, United States
Trond Wuellner
Product Lead
Mountain View, United States
Brendan Synnott
Guest Lecturer
Boulder, United States
Lex L.
Investor
Sammamish, United States
Matt Ocko
Investor
Palo Alto, United States
Aman Kumra
Agency Lead
London, United Kingdom
Mario Tapia
Product and Developer Marketing Leader
San Francisco, United States
Ravi Mahendrakar
Product Management
San Jose, United States
Oksana Stowe
Venture Investor
London, United Kingdom
Emily Ma
Strategy and Operations
Mountain View, United States
Scott Allen Graham
Advisor
San Francisco, United States
Keith Boesky
Adjunct Professor
Los Angeles, United States
Dheeraj Jain
Angel Investor
Delhi, India
Marc Hustvedt
Angel Investor
Austin, United States
Erik Syvertsen
Head of Asset Management
New York, United States
Sumukh Sridhara
Founder Products Lead
San Francisco, United States
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Frequently asked questions
Who is Lake Dai?
Lake Dai is an angel investor and operator angel based in San Francisco, California, United States with one known investment on file, Workera. The sections above list the sectors, stages and firms attached to that record.
What does Lake Dai invest in?
Listed sectors include AI, Education, Healthcare and SaaS; listed focus areas include AI Infrastructure, Biotech, Cloud Infrastructure and Enterprise SaaS. 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 Lake Dai invest at?
The database lists Lake Dai for Pre-Seed, Seed and Series A 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.
Which firm is Lake Dai listed at?
Lake Dai is listed as Advisory Board Member at AngelList. 232 other people in the database share a firm with Lake Dai.
How do I contact Lake Dai?
An email address, a phone number and a LinkedIn page are on file for Lake Dai. The address stays masked on this page and is readable inside RaiseHunt after you create an account.
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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal