Perle is how expertise gets into AI.
Fifteen thousand doctors, lawyers, linguists, engineers, and scientists across seventy countries, building the data, evaluations, and rubrics that teach frontier models to reason responsibly.
Crowds can label. Only experts can teach.
Perle was founded in Silicon Valley on a stubborn idea: the world’s sharpest minds don’t all live in one zip code. Our specialists work across seventy countries, twenty-seven languages, and every domain that matters, and every one of them is on payroll, not in a marketplace.
Three products. One human standard.
Everything we build serves a single goal: get the world's best minds into your training loop without losing the texture of how they think.
The problems frontier teams keep bringing us
When the easy data is exhausted and a model still gets the hard things wrong, this is where we come in.
Teaching robots to live in human kitchens
WhisperMind captures the way real hands move through real spaces, picking up a wet glass, opening a stuck drawer, finding the salt in a stranger's cupboard. Multi-sensor RGB-D, IMU, and force-torque streams labeled by people who've cooked the meal.
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Stress-testing models a board exam wouldn't catch
Our evaluation network spans 2,500 physicians, 800 attorneys, and specialists across two dozen disciplines. They write the rubric, run the cases, and flag the failures that benchmarks paper over.
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Drawing the line a model shouldn't cross
Red-teaming, refusal calibration, and bias auditing led by domain experts, not by people who learned the topic from the prompt. We tell you exactly where your model breaks, in language your safety team can act on.
Learn moreThe human layer behind the AI you actually use
Working with hospital systems, law firms, robotics labs, and the AI teams quietly shipping the next decade.
Notes from the field
What we've learned building human data for the teams shaping AI.
