Platform
We build predictive solutions for biological systems, from complex disease models to therapeuthic targets and optimized de novo molecules.
Multi-Omics Disease Models
We relate multi-omics data to phenotypes and create highly accurate models of disease and healthy baselines, at the molecular, cell and tissue levels.
Deep Mechanisms understanding
Poorly understood mechanisms of action lead to late stage failures. Combined network theory and deep learning helps infer underlying mechanisms.
Target identification
Automated graph reasoning and predictive inverse binding helps identify and evaluate non-obvious targets and de-orphan efficient molecules.
Hit / Lead Generation
We combine fast database multi-criteria screening to Deep generative models to evaluate or create pre-optimized therapeuthic molecules.
Hypothesis suggestion
Automated reasoning over biological models allows us to suggest the most direct path to scientific proof. Our generator suggests the best hypothesis to be tested in vitro.
Patients sub-groups identification
Our technology is based on heterogeneity. We measure variations between healthy and disease biological systems as well as between patient groups.
Current therapeuthic focus
We are working on predictive models in the following fields
Technology
Our technology enables insilico analysis of complex biological systems.
