Novel antibodies

Deep learning and
high-throughput biology

designing antibody sequences at massive scale, predicting their properties,
validating via experiments, and self-improving iteratively.

We balance the tradeoff between exploration and exploitation and
search the sequence landscape, aiming for more precise epitope targeting and
better developability after each iterative design cycle.

Deep learning models of antibody-antigen interaction landscape

We train deep learning models to predict binding between antibodies and antigens. With ever-growing structural a=nd functional data, our models become more precise and detailed.

Deep learning models of antibody-antigen interaction landscape

We train deep learning models to predict binding between antibodies and antigens. With ever-growing structural a=nd functional data, our models become more precise and detailed.

Working
Together

to out-evolve nature

We are building a team of passionate scientists and engineers to drive scientific advances and technology innovations for bringing better therapies and improving human health.