A world model of cancer biology.
Causal. Mechanistic. Built for R&D.
Galen is reasoning infrastructure for target discovery, binding, and combination questions — grounded in the mechanisms underneath the data.
Most AI in biology finds correlations. Galen traces causes. It maintains a structural causal model of cancer — mutation to mechanism to outcome — and reasons across it. Not a lookup table. Not pattern matching. A model of how cancer actually works.
Live─4,033,291 entities·53,720,933 relationships·24/7 ingest
Built for biopharma R&D
- Target discovery & prioritization
- Target-binding & selectivity
- Synergistic combinations & resistance