Our Technology
A foundation model for drug discovery
Built from the ground up by our team and battle-tested against the reality of the lab—our AI is ready to disrupt preclinical drug discovery across all therapeutic areas.
Our deep-learning model simultaneously predicts therapeutic effects, off-target effects and pharmacological properties.
To achieve this, our team assembled and expertly curated a vast database of biological experiments featuring 750 million data points for 2.5 million molecules, and designed a deep neural network able to distill this data into a superhuman understanding of how a molecule's structure can affect an organism, enabling it to predict protein affinity, pathways activation/inhibition, or other complex biochemical interactions, for any new molecule.
This one of a kind foundation model for drug property predictions enables us to rapidly and confidently sift through vast chemical spaces to identify high quality compounds with dramatically higher chances of success in progressing through preclinical drug discovery.
- Proven: Tested by independent laboratories
- Reliable: Unprecedented accuracy, on par with experiments
- Fast: Finds the rare gems in vast chemical spaces
- Versatile: Applicable in any therapeutic area