Eliminate drug toxicity. Expand your therapeutic index.
Equip yourself with AI models more accurate and more interpretable than traditional experiments.
Toxicity is a leading cause of clinical trial failures
Every year, unexpected toxicity denies patients many effective medicines and costs industry billions of dollars.
Old Paradigm
40% - 55% of drugs fail because of toxicity.
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90% of drugs fail; toxicity is a leading cause 1 SOURCE Impact of a five-dimensional framework on R&D productivity at AstraZeneca Nature Reviews Drug Discovery 2 SOURCE An analysis of the attrition of drug candidates from four major pharmaceutical companies Nature Reviews Drug Discovery 3 SOURCE Costs of Drug Development and Research and Development Intensity in the US, 2000-2018 JAMA Network Ope
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All drugs are tested in lab and animal experiments, but still fail clinical trials due to toxicity
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Tens of billions of dollars are lost to late stage drug toxicity

Old Paradigm
Existing physical experiments are inaccurate and expensive.
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Animal testing has poor predictive performance for human liver injury 4 SOURCE Current nonclinical testing paradigm enables safe entry to First-In-Human clinical trials: The IQ consortium nonclinical to clinical translational database Toxicology and Applied Pharmacology
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Lab experiments show good specificity but lack sensitivity 5 SOURCE Setting Clinical Exposure Levels of Concern for Drug-Induced Liver Injury (DILI) Using Mechanistic in vitro Assays Toxicological Sciences 6 SOURCE Utility of spherical human liver microtissues for prediction of clinical drug-induced liver injury Archives of Toxicology
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Experiments costs thousands to millions of dollars while taking weeks to months to run

Changing Industry
Current experimental methods are becoming obsolete.
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Congress dropped the legal requirement for animal testing7 SOURCE “The FDA no longer requires all drugs to be tested on animals before human trials” Science | AAAS
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Congress and the FDA have announced they are phasing out animal experiments8 SOURCE "FDA Announces Plan to Phase Out Animal Testing Requirement" FDA Commissioner
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Industry, big pharma, regulators, and academia are looking for alternative approaches

New Paradigm
Its time to accurately predict toxicity.
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More accurate predictions of clinical outcomes
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Affordably measure safety from the beginning of drug development
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Save billions by reducing synthesis and assay costs and avoiding late stage failures
Assess and validate Axiom's new paradigm for yourself
Our early partners include some of the world's largest pharma companies. See what they are excited about.
FDA & Insphero 3D Spheroid | ![]() Axiom AI experiment | |
|---|---|---|
| AUC | 0.80 | 0.89 |
| Sensitivity | 72% | 75% |
| Specificity | 90% | 93% |
Clinical Liver Injury
Use Axiom to predict clinical liver injury with improved accuracy and lower costs.
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Axiom trains models on the world’s largest, most comprehensive dataset of primary human liver biology.
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