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Data & model training

Scale AI

Data-labeling and model-evaluation infrastructure company that trains and tests the models frontier labs build - now roughly half-owned by Meta.

Visit scale.com (opens in a new tab)
Founded
2016
Based in
San Francisco, United States
Stage
Growth
Business model
Data services, Enterprise contracts, Government & public sector
Record
VerifiedChecked 24 September 2026

What Scale AI does

Scale AI was founded in San Francisco in 2016 by Alexandr Wang, then a 19-year-old MIT dropout, to provide the human-labeled and RLHF training data that large AI models are trained and fine-tuned on. Rather than building models itself, Scale sells the data infrastructure and human feedback pipelines that other labs' models depend on - a business that made it one of the most consequential companies in AI most consumers have never heard of.

In June 2025, Meta invested approximately $14.3 billion for a 49% stake in Scale, and Alexandr Wang left to become Meta's Chief AI Officer, leading its new Superintelligence Labs. Scale's board appointed Chief Strategy Officer Jason Droege as CEO, and the company has continued operating independently of Meta despite the size of Meta's stake and its founder's departure.

  • Data labeling & RLHF
San Francisco37.77°, -122.42°Open map (opens in a new tab)

Runs it

  • Alexandr WangFounder (departed 2025)
  • Jason DroegeChief Executive Officer

Scale AI

Growth

Funds it

  • Meta Platforms