Motivated to make better drugs
Powered with tumor data
Delivered by machine learning
Building multispecific antibody therapies and combinations for genetically defined cancer patient populations.
Our platform identifies synergistic target pairs in real patient tumor data; our pipeline advances them towards clinical development.
By using real patients data, we integrate target identification with cohort selection into a single coherent strategy.
Gordion's dependency maps are built from patient tumor biopsies, not cell lines. The AI integrates genomic, transcriptomic, and clinical data across ~26 cancer types.
