Closing the loop between hypothesis and discovery.

We build AI agents that orchestrate the full cycle of scientific research — from literature synthesis through experimental design to validated results.

HYPOTHESIS DESIGN EXPERIMENT ANALYSIS

The best language models can already pass medical licensing exams, critique study designs, and generate plausible hypotheses. None of that matters if it stays in a chat window. The distance between a model's output and a real experiment — with IRB approval, enrolled patients, lab work, and statistical analysis — is still crossed entirely by hand.

We're building the infrastructure to close that distance. Percivio translates between AI reasoning and the operational reality of empirical research: institutional constraints, regulatory requirements, available instruments, patient populations. Our systems produce study designs that are executable, not just plausible. Medicine first, then every field where answers require measurement.

Founded by researchers and engineers who have built production ML systems and published in leading scientific venues. We've shipped models to millions of users and designed experiments that produced novel results.

Previously — Quant Company · Industrial Research Company · University Chair