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Accurate and early translation of experimental data to human clinical outcomes.
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From experimental data to clinical risk across the full exposure curve.
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Prioritize, understand, and advance the safest molecules early.
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Pinpoint the mechanistic causes of drug toxicity and engineer them out.
Reveal which structural changes drive toxicity differences across structural different compounds.
Compare compounds side by side across assays, doses, and toxicity endpoints.
Distill complex human-relevant experimental data into clear risk signals and takeaways.
Probe how specific structural features may drive toxicity mechanisms and risk.
Turn complex data and mechanistic insight into clear compound decisions and next steps.
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An end-to-end service, from data generation to clinical outcomes.
Data
Full suite of data generated for your molecules.
AI Reasoning
Reasoning across early, novel biology signals.
Clinical Prediction
Understand clinical risk and what drives it.
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From data to clinical risk assessment at the earliest stage of development.
Your molecules
data generation
Cell Biology 
2D Primary Human Hepatocyte and 2D+ Multi-cell Hepatic System
Exposure 
ADME
Metabolism 
Reactive Metabolitism
AI Reasoning Agent
Clinical Risk Assessment
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Where Translate Fits
Research
Learn more about our work
03/2026 Technical Summary
03/2026 Technical Report
A Better Proxy Than the Rat and Dog
Using AI to Combine Exposure, Metabolism, and Liver Function to Model DILI in Modern Molecules
Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes
Counting cells can accurately predict small-molecule bioactivity benchmarks
Modeling and Interpreting Multiple Readouts for Clinical Liver Toxicity Risk Assessment
