Cutting-edge machine learning methods to swiftly evaluate a
comprehensive range of critical properties for potential drug
candidates. This innovative tool provides rapid, in-depth
assessments of molecular properties, empowering our researchers
to make data-driven decisions early in the design process.
By accelerating the identification of promising therapeutic
compounds and enhancing the overall efficiency of drug
discovery, our technology paves the way for faster development
of innovative treatments.
90%
reduction in processing time.
An advanced generative chemistry module that employs
state-of-the-art AI techniques to explore and expand the vast
chemical universe of potential drug candidates. This innovative
tool utilizes sophisticated algorithms to design novel,
drug-like molecules tailored to specific therapeutic targets.
By enabling the rapid generation and evaluation of new chemical
entities, our technology significantly broadens the scope of
drug discovery, allowing us to venture into previously
unexplored areas of chemical space
1B
generated molecules/day
Molecular simulation workflow that leverages advanced
physics-based modeling to provide detailed insights into
drug-target interactions at the atomic level. By producing
large-scale, high-quality datasets that capture the intricacies
of molecular interactions, our technology bridges the gap
between physics-based simulations and data-driven AI approaches.
This unique capability enhances our predictive models, improves
the selection of promising compounds, and reduces the risk of
late-stage failures.
Availability of synthetic data
