Predicts cancer treatment resistance before the first dose.
Shorter paths from biological data to a candidate worth testing.
Discovery produces more data than a lab can interpret by hand. We back teams that pair AI models with wet-lab validation, so predictions are tested against real biology early and hold up when regulators review them.
Companies where model output goes back into experiments quickly, and the results improve the next round of predictions.
Teams that include people who have run assays and people who have shipped models in production.