Scale AI AI features and pricing (October 2026)

Scale AI provides training data, human feedback and evaluations for companies that build AI models, and develops AI applications for large enterprises and government agencies.

Scale AI was founded in 2016 and is based in San Francisco. Its Data Engine sources labeled data and human judgments for model training, including work for generative AI model builders; the company states it has facilitated 15 billion human decisions and paid $1 billion to contributors. Evaluation services and private leaderboards benchmark model capabilities. The GenAI Platform and Scale Donovan serve enterprises and the public sector. The company names Meta, Mayo Clinic and BP among its customers.

• Collects human feedback for model trainingContributors rank, correct and write model outputs so developers can fine-tune models with human preferences. Model teams get large feedback datasets without building their own workforce.
• Evaluates model capabilitiesEvaluation services and private leaderboards test models on tasks outside public benchmarks. Teams see weaknesses before release instead of relying on published scores alone.
• Builds AI applications for enterprisesThe GenAI Platform helps enterprises deploy AI systems on their own data, with Scale building and operating the solution. This suits organizations without a large in-house AI team.

• Holds FedRAMP High and DoD IL4 provisional authorization for US government work.
• Combines data services, model evaluation and application delivery in one company.

Scale AI is headquartered in San Francisco and holds FedRAMP High authorization and a DoD IL4 provisional authorization for US government work.

Scale publishes no prices, so request a quote per project and clarify how contributor work is quality-checked. Clarify where data is stored and who among the global contributor network can see it. Request the SOC 2 report through the trust center and a data processing agreement before sharing personal data.

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