Our deep learning technology is transforming drug discovery
From a massive database of biological experiments, our algorithms learn deep models linking chemical structure to physiological function and target activity.
Our technology has been validated in vitro by multiple independent laboratories in various therapeutic areas. Its unprecedented accuracy is on par with most wide scale molecule screening experiments, and led to the discovery of novel drug leads.
The search for new drugs is still extremely slow and costly. Of 5000 leads that have been identified by researchers, only one has the properties required to become a medication.
Our modern machine learning approach enables us to rapidly and confidently screen a vast number of compounds and to identify high quality compounds with dramatically higher chances of success in progressing through preclinical drug discovery.