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Top AI evals & testing experts, active now
Evals are tests for AI. They check whether answers are accurate, safe and on-brief across hundreds of realistic cases, and they flag when a change of prompt, data or model makes things worse. Without them, quality is guesswork.
Bring in an evals specialist before launch, or when an AI feature is already live and you can’t say how good it is. Look for someone who works closely with your subject experts on what good means.
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Questions
Evals & testing: common questions
Why can’t we just try it and see?
Spot checks miss the long tail. A model that handles your ten favourite questions can still fail on one in twenty real ones. Evals give you a number you can track, so you know whether an update helped or hurt.
What does an evaluation project produce?
A test set built from real cases, clear scoring rules, an automated way to run them and a short report on where the system is strong and weak. Ideally it plugs into your release process so every change is checked.
Does this help with compliance?
It helps a lot. Documented testing is strong evidence that you’ve assessed accuracy, bias and safety risks, which regulators, insurers and larger customers increasingly ask to see.
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