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Tell us where your agentic system breaks down —and what automated metrics are missing.
Agentic AI fails in ways standard benchmarks don’t catch. Multi-step reasoning errors, bad tool selection, and flawed chain-of-thought traces require human evaluation at every stage.
Multi-step evaluation, not just final outputs
Human judges assess intermediate reasoning quality — the steps automated metrics can’t see.
Tool use and function call validation
Expert evaluators assess whether agents select and use tools correctly across code, web, and API calls.
Custom benchmark design for your deployment context
Not adapted from generic public benchmarks. Built around the domains your agent will actually face.
500k+
Curated expert contributors
>90%
Quality scores
+10%
Accuracy per iteration
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