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Task-specific evaluation suites — accuracy, safety, cost — that gate every model release and monitor for drift in production.
Generic benchmarks don't predict production performance. We build golden sets and rubrics for your tasks, run automated and expert-graded evals, and gate releases on regressions. Live monitors flag drift before customers feel it.
Evaluations runs inside your governed environment as a discrete stage of the training loop, with APIs and exports that match your existing pipeline. Adopt it on its own or compose it with the other AI training capabilities.
The building blocks that make Evaluations dependable in production.
Curated, versioned task datasets.
Expert and automated scoring.
Block releases that slip.
Catch degradation live.
By the numbers
Book a working session and we'll scope how this fits your model development and governance.