A MOLECULE FOR EVERY MALADY

AI-Driven Drug Discovery powered by
AI-Scale Data to find medicines

the challenges of drug discovery

It takes nearly 25 years for an idea to become a medicine.

From the moment we identify a protein that causes a disease, 25 years pass before patients get a medicine. This process is too slow, patients don’t have time to wait. Unfortunately, AI hasn’t been much help either as drug discovery datasets are too small and there’s no way to iteratively refine the AI with large datasets.

Solution: More Data, Better AI, Done Iteratively

First we test Billions of Molecules

We test billions of custom-synthesized compounds to see which ones are likely to modulate a protein “target” we believe to be important in some diseases. For any target that Anagenex works on, we run dozens of experiments at a billion compound scale, generating rich, high quality datasets.

Our generative AI learns from those results to design new, 100M compound experiments

Those datasets train proprietary neural networks to understand what compounds might help patients. Our generative AI shows us millions of ideas for new compounds that could be even better

Build+Test 100M compounds in 1 month

Our custom chemistry and selection systems allow us to build then do real experiments on hundreds of millions of compounds, iteratively refining our AI’s predictions.

Accelerating drug discovery with our 100B+ datapoints and measuring Billions more weekly to get medicines to patients faster

“Combining computers and lab experiments the right way can create a virtuous cycle where each can feed back into one another and make the drug discovery process as robust as we all need it to be.”

— Nicolas Tilmans, Founder/CEO Anagenex

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