Scale AI
VerifiedTraining data, model evaluations and applied AI systems for enterprises and governments
Product preview
Scale AI
What it is
Scale AI is a San Francisco company founded in 2016 that works across the AI stack. Its Data Engine provides training data, annotation and reinforcement learning from human feedback, delivered by a large network of expert contributors. Its evaluation and red teaming work measures and benchmarks model performance and safety. On the applied side, Scale builds full-stack AI systems for enterprises and governments, including its GenAI Platform and the Donovan product for national security use. Clients span model labs, healthcare, energy, education, robotics and defense. There is no self-serve price list; engagements are scoped with the sales team, which makes it a fit for large organizations rather than individuals.
Key features
- Data Engine for training data and RLHF
- Expert model evaluations and red teaming
- Applied AI systems for enterprise
- Public sector and defense solutions
What we liked
- + Deep experience with frontier model data
- + Covers data, evaluation and deployment
- + Serves regulated and government sectors
Worth noting
- · No public pricing or self-serve plan
- · Built for large organizations, not individuals
Editor's notes
More context from AI BirdView
Scale AI matters because much of the modern AI boom depends on the kind of work it does behind the scenes: carefully labeled data, human feedback and rigorous testing. Over the years it has grown from a data labeling service into a broader partner that also evaluates models and builds production systems for large customers, all while keeping people in the loop.
- The Data Engine supplies annotations and RLHF data, and the company says a quarter of its contributors hold advanced degrees.
- Evaluation and red teaming services help teams measure model capability and safety before release.
- Applied AI work covers use case selection, system building and ongoing ownership of outcomes.
- Scale names customers such as Meta, Mayo Clinic, Time and BP on its website.
- The company says 90 percent of leading generative AI model builders use its data.
Scale AI is best for AI labs, large enterprises and government agencies that need high volume, high quality data or a partner to deliver a complete AI system. A practical tip: come to the first conversation with a defined use case and success metric, since Scale's engagements are scoped around measurable outcomes rather than open ended exploration.
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