Imagine a 3D surface with peaks and valleys of complex shapes. Then expand that surface into many more than three dimens...
Designing antibody medicines that satisfy many simultaneous requirements (affinity, developability, safety, etc.) is slow, expensive, and difficult with traditional methods.
BigHat Biosciences uses high-dimensional machine learning and experimental data generation to design and optimize therapeutic antibodies across multiple properties.
Biopharma companies and drug discovery teams developing antibody therapeutics.





