We believe that engineered antibodies will revolutionize the field of antibody therapeutics and make it possible to develop new treatments for a wide range of diseases.
Our Technology
To identify high-performing engineered antibodies, we use a combination of physics-based computational designs and simulations, high-throughput experimental assays of millions of targeted therapeutics, and AI and machine learning to detect patterns in sequence space.
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Physics-based antibody computational designs and simulations allow us to predict the properties of antibodies before they are even made. This allows us to focus our efforts on the most promising candidates.
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Screening millions of bispecific antibody sequences allows us to quickly and efficiently test a large number of different interactions to identify the antibodies that are most effective at binding to their target.
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AI and machine learning are used to detect patterns in sequence space that are associated with high-performing antibodies. We can then identify new antibody candidates that we would not have found otherwise.