Ending unexpected drug toxicity.
Axiom is building the translational intelligence layer for scientists, using AI to connect lab experiments to human drug outcomes and help scientists develop safer medicines.
Unexpected toxicity shouldn’t be a leading cause of drug failure.
Predict toxicity earlier with AI that outperforms animal testing.
Understand drug toxicity before it reaches humans.
Many preclinical candidates and clinical trials fail because of unexpected toxicity. Axiom uses human-relevant experimental data and intelligent reasoning to help scientists identify risk earlier and reduce these failures.
We’ve profiled thousands of clinical-stage molecules across a broad suite of proprietary experiments, creating the world’s largest dataset linking experimental data to human clinical outcomes.
Reveal a drug’s full risk profile, uncover the mechanisms driving toxicity, and make more better decisions.
Clinical Risk Assessments
Axiom delivers comprehensive clinical risk assessments grounded in AI-powered mechanistic reasoning, helping scientists reduce unexpected toxicity risk earlier in development.
Axiom's Digest
Learn more about our work
Counting cells can accurately predict small-molecule bioactivity benchmarks
Nature Communications
Modeling and Interpreting Multiple Readouts for Clinical Liver Toxicity Risk Assessment
Data
Using AI to Combine Exposure, Metabolism, and Liver Function to Model DILI in Modern Molecules
Talk
On AI Infrastructure in Biology
Blog
AI & Biotech: Accelerating Breakthroughs in Medicine
Talk
Goin' up the liver
Blog
Selling AI Products + Services to Big Pharma
Blog
A Shift from Animal Testing
Blog