We design proteins
that become products.

The gap between a designed protein and a useful one is experimental proof. We build proteins to engage specific targets, run them through interaction and functional validation, and deliver candidates with complete characterization packages. Our platform operates at a fraction of the cost and timeline of traditional discovery because the computational design and the experimental validation are built as one system, not two departments.

The process

How a functional protein is born

Four steps. Weeks, not years. Measured validation on the path to product.

We start with the target.

We begin with the protein we want to modulate. A receptor driving inflammation. A surface marker on diseased tissue. An enzyme involved in tissue remodeling. The biology defines the molecule.

We design the molecule.

Our generative models create novel protein sequences for a specific target interface. These sequences have never existed before in nature or in any library.

We validate experimentally.

Interaction, function, selectivity, and developability across a structured workflow. Measured, not predicted.

We advance toward product.

We nominate the lead and run the tests that gate the next step: formulation compatibility, stability in real product conditions, and the characterization needed to move forward.

Supported by

Activate FellowshipMIT Engine BlueprintNVIDIAMBC Biolabs

We design, validate, and advance proteins toward product.