VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods. 

Biotechnology

VantAI

Zachary Carpenter

Zeenat Patrawala

Michael Bronstein

Kelly Velez

Si-Han Chen

Luca Naef

Computational Biology and Chemistry

Engineering and Technical Roles

Leadership Team

Engineering and Technology Team

VantAI

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Teams

Computational Biology and Chemistry

Engineering and Technical Roles

Leadership Team

Engineering and Technology Team

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