A world model of cancer biology.
Causal. Mechanistic. Built for biopharma R&D.
Galen answers target-discovery, binding, and combination questions — reasoning forward from the mechanisms, not back from the literature. Starting with cancer.
Most AI in biology finds correlations. Galen traces causes. It models the mechanisms of cancer — mutation to mechanism to outcome — and reasons across them. Not a lookup table. Not pattern matching. A model of how cancer actually works — and a template for the rest of biomedicine.
Live─4,000,000 entities·52,000,000 relationships·24/7 improvement
Built for biopharma R&D
- Target discovery & prioritization
- Target-binding, selectivity & off-target safety
- Synergistic combinations & resistance