We design molecules
that become products.

Every peptide in beauty was found by accident. Every therapeutic peptide took a decade. We use generative AI to design functional peptides from scratch, validate them in weeks, and deliver them ready for formulation. The industry works with what already exists. We create what comes next.

The process

How a functional peptide is born

Four steps. Weeks, not years. A complete active ingredient at the end, not just a prediction.

You name the target.

Tell us the protein you want to hit. An enzyme breaking down collagen. A receptor driving inflammation. A protease involved in tissue remodeling. The biology defines the molecule.

We design the molecule.

Our generative models create novel peptide sequences built to bind your target at a specific interface. These sequences have never existed before in nature or in any library.

We prove it works.

Thousands of candidate-target interactions, validated in a single pooled experiment. Binding affinity, specificity, off-target activity. Measured, not predicted.

You get a product-ready ingredient.

Binding affinity. Functional activity. Solubility. Thermal stability. Safety profile. A complete molecule characterization, ready for your formulation team.

What you get

A characterized candidate

Not a prediction. Not a report. A molecule with data your team can act on.

Molecule characterization

Binding affinity (KD)measured
Functional activity (IC50)measured
Solubilitymg/mL
Thermal stability (Tm)measured
pH stability rangecharacterized
Safety check✓ complete
Working concentrationrecommended

Every candidate we deliver comes with the full characterization your formulation team, your R&D pipeline, or your regulatory submission needs. Binding against a defined target, functional proof that it works, and the stability data to know it survives your product.

We design the molecule. You formulate the product.

Supported by

Activate FellowshipMIT Engine BlueprintNVIDIAMBC Biolabs

Tell us the biology. We'll design the molecule.