Recursion was founded more than a decade ago on the idea that we could take images of cells and use these images to train artificial intelligence to understand the vast unknown biological space – the cellular disruptions driving disease – to use AI-drug discovery to reduce the massive 90% failure rate of traditional drug discovery.
Our missionWe’re using data and AI to bring better medicines to patients, faster.
The Recursion OS drug discovery and development platform has yielded an advanced pipeline of potential first-in-class and best-in-class treatments for conditions with high unmet need including aggressive cancers and rare diseases. Today, we’ve demonstrated significant improvements in speed, efficiency, and reduced costs from hit identification to IND-enabling studies compared to traditional pharmaceutical company averages.
We’re using data and AI to bring better medicines to patients, faster.
The Recursion OS drug discovery and development platform has yielded an advanced pipeline of potential first-in-class and best-in-class treatments for conditions with high unmet need including aggressive cancers and rare diseases. Today, we’ve demonstrated significant improvements in speed, efficiency, and reduced costs from hit identification to IND-enabling studies compared to traditional pharmaceutical company averages.
Take a look inside the automated labs that form our AI-native data factory to see our end-to-end drug discovery and development engine work as one connected system. Driven by bilingual teams of scientists and technologists, our wet and dry "lab-in-the-loop," forms a continuous learning system of physical automation and machine learning models. See how we run up to 2 million weekly experiments to build a 50+ petabyte proprietary dataset, tightly connecting biology, generative de novo chemistry, and translational clinical tools to systematically de-risk drug discovery.
Explore our technologyOur strategic partnerships allow us to accelerate the discovery of new medicines and expand our potential impact on patients via AI-drug discovery.
This includes pharmaceutical partnerships with industry leaders, technology partnerships with computational titans, and next-generation data partnerships that enhance our capabilities and generative AI for pharma as one of the top AI drug discovery companies in the industry.
Our integrated system narrows millions of molecules down to a short list that's synthetically accessible. Not just promising in silico, but actually makeable before a single one is sent to the labs.
Read more →Thanks to Nathan Benaich and Air Street Capital for their annual State of AI Report. We’re happy to be included for our work on REC-4881, a MEK1/2 inhibitor currently in Phase 2 clinical trials for FAP.
Read more →Across our programs, we've advanced quality novel candidates after synthesizing only around 300 compounds, roughly 90% fewer than the industry average.
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