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EPAM announces data and testing services for frontier AI

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Custom simulations would let developers test models against business workflows and use the feedback for reinforcement learning.

EPAM Systems announced a service on Oct. 5, 2026, to supply training data, model evaluations and simulated business environments for developers of frontier AI models. The company said the offering is intended to help those models handle specialized enterprise work more reliably.

The simulations are a central part of the plan. EPAM said it would build controlled virtual environments that reproduce enterprise systems and workflows, allowing developers to test how models reason, use tools and handle interactions across multiple turns before deployment. Those environments would also provide feedback for reinforcement learning, making them part of the training process as well as a testing ground.

EPAM’s pitch rests on its experience designing, integrating and maintaining business software: it says that work can supply the domain knowledge needed to train and assess models on specialized tasks. The company also cited its existing partnerships with Anthropic, OpenAI, Google and Microsoft as credentials for the offering. Its stated focus is on complex workflows and multi-step tasks, rather than general language and coding abilities alone.

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