Accelerating drug discovery by mapping the causal code of disease, directly in living systems.

We combine scalable in vivo perturbation with AI to learn how disease genes control cells and circuits in living organisms. These causal maps train biological models that enable a new generation of therapeutics.

Powering AI with the causal logic of human genetics: we generate organism-scale perturbation atlases linking genes to cells, circuits, and disease, training AI models that predict how genes and drugs reshape biological systems.