to create beneficial technologies at the edge of human knowledge, starting with biological sciences
The ability of science to compress knowledge into compact causal theories defeats the quadratic scaling of attention. The scientific method is a loop — generate hypotheses, test them against reality, and select what survives by Occam's razor. We rebuild that loop with AI and a wet lab: compressing data into knowledge, not just scaling compute.
AI poses productive problems and proposes testable protein designs — installing priors to collapse the search space
We run the highest-information-gain experiments in our own wet lab, closing the loop in days — not years
Reality selects the designs that are optimal for a desired function. Each result sharpens the next generation — signal over scale.
First application: speeding up the design of biologics to optimize a desired function with the use of AI. Our north star is aging.
Co-founder & CSO
Co-founder & CEO