Expertise, at the pace of AI.

For most of history, expert knowledge moved slowly. Medical progress passed from mentor to resident across years of rotation. Case law accumulated through centuries of decisions. Investment craft was learned across full market cycles.

AI has changed the pace at which knowledge can be captured and applied. But the knowledge itself — the tacit, hard-won judgment of a specialist who has seen ten thousand cases — still lives inside people. That knowledge is what determines whether an AI system is trustworthy in high-stakes domains. And extracting it faithfully is the hardest, least glamorous work in the AI supply chain.

Perit — from the Latin peritus, meaning “skilled through experience” — organizes that expertise into structured training signal for the frontier of AI.

We do this by taking expertise seriously as its own product. Every expert on Perit is credential-verified, interview-tested, and rated against a held-out gold standard. They aren't labellers with a rubric; they're specialists paid at market rate to bring their judgment to the questions AI systems can't yet answer alone.

We believe the next decade of AI progress will be shaped less by architecture and more by the quality of the reasoning it's trained on. The labs that solve medicine, law, and science will be the ones with the deepest supply of trusted human judgment. Perit exists to make that supply reliable, accountable, and scalable.