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Data-centric infrastructure to accelerate the development of AI
Backed by Y Combinator · Neo
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
Scale AI provides data-centric infrastructure and solutions to support reliable AI systems for enterprises and governments. It offers data, evaluations, and deployment capabilities across the AI stack to power real-world AI applications.
Scale delivers data powering AI models and a platform to benchmark and deploy reliable AI systems. It sources and curates labeled data, provides evaluations and benchmarks (including frontier model benchmarking), and supports deployment across enterprise and public sector use cases. The offerings span data provision, model evaluations, and deployment solutions designed to keep humans in the loop and ensure outcomes in real-world environments.
Who it’s for: Enterprises and government organizations deploying AI, including Fortune 500 companies and public sector entities, seeking reliable AI systems and real-world deployments.
Hiring and growth signals implied by enterprise-focused offerings; established customer references and a broad suite of enterprise/government deployments mentioned.
How Scale AI’s homepage introduced itself over the years — each line is the page title the web actually saw, linked to that moment’s archived capture.
Formerly “Ava” · why startups rename →
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