This profile has not been claimed and data may not be accurate.
95th percentile
70th percentile
Scale AI founder turned Chief AI Officer at Meta Superintelligence Labs
Credibility
Traction · 98th percentile
- Scale AI was valued at over $29 billion in June 2025 when Meta invested for a 49% stake — still a private company.
Relationship Matrix
Most Like You
Most Complimentary
Founder score
- 99%Probability of being accurate (99%)Scale AI is a Y Combinator Summer 2016 alumnus.
- 99%Probability of being accurate (99%)Wikidata entity exists for Alexandr Wang, confirming notable public profile.
- 97%Probability of being accurate (97%)Past co-founder and CEO of Scale AI, which he founded in 2016 and led until joining Meta in 2025.
- 97%Probability of being accurate (97%)Scale AI was co-founded with Lucy Guo.
- 95%Probability of being accurate (95%)Scale AI was valued at over $29 billion in June 2025 when Meta invested for a 49% stake — still a private company.
- 95%Probability of being accurate (95%)scale.com ranks #18,823 on the Majestic Million (global domain prominence).
Investor score
- 92%Probability of being accurate (92%)Publicly identified as an angel investor with a portfolio spanning AI and software companies.
- 88%Probability of being accurate (88%)Made at least 7 confirmed investments including Reflection, Fireworks AI, Twelve Labs, DeepScribe, Cortex, /dev/agents, and Stacked.
- 60%Probability of being accurate (60%)Approximately 6 years of angel investing activity based on known portfolio history.
What you likely need
You get the most out of Festival when you're in small, trust-heavy rooms where your Scale AI and Meta credibility speaks for itself — dinners with founder-operators who've navigated the same transitions, policy insiders who can sharpen your national security thesis, and enterprise buyers who can open doors for your portfolio. Roundtables with active angel syndicate leads and Series A/B board observers give you the tactical scaffolding to formalize your investing practice without starting from scratch. The highest-leverage moments for you are where a single warm introduction or a sharpened idea converts directly into distribution for Fireworks AI, Twelve Labs, or your next long-form piece.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- wellbeingA closed dinner for ex-founder-turned-C-suite operators at Meta, Google, and Microsoft — think former CEOs now running large orgs as VPs — to candidly unpack the psychological and political realities of handing over the founder role from the inside
- fundraisingA roundtable with 6-8 active solo GP and syndicate leads in the style of Elad Gil and Naval to workshop the mechanics of launching a named syndicate — SPV structure, LP sourcing, deal flow branding, and the line between scout and fund
- positioningA closed-door dinner with AI policy writers, defense-tech founders, and former IC officials to pressure-test long-form thesis drafts on AI data infrastructure and national security, where your Scale AI DoD contracts give you rare standing to lead the room
- positioningA YC S16 cohort reunion dinner that doubles as a live mentorship night for current YC batches, where your Scale AI zero-to-$29B arc and the hard pivots along the way become on-the-record case studies for founders still in the building phase
- introsA curated dinner with enterprise AI buyers and Chief Data Officers from Fortune 500 companies in your Meta network, structured to generate warm distribution introductions specifically for Fireworks AI and Twelve Labs
- tacticalA tactical roundtable with experienced angels who hold board observer or director seats at Series A/B AI companies, to map best practices for formalizing governance roles and information rights across an early-stage portfolio
- wellbeingA small offsite dinner for leaders actively building at frontier AI labs — Meta, Anthropic, xAI, and DeepMind — to speak candidly about superintelligence timelines, internal org design under pressure, and what it means to operate at this specific moment in AI history