How an engagement works

  1. Scoping callThirty minutes on your target, what you have already tried, and what a successful candidate has to do. We tell you honestly whether computational design is the right tool for it.
  2. Target triage and preparationStructure selection, domain trimming, epitope and hotspot definition. Most campaigns that fail, fail here rather than in the model.
  3. Design campaignWe run the pipelines best suited to the target — usually several in parallel — and iterate on the ones that show signal instead of scaling the first attempt.
  4. Ranked deliveryYou get candidate sequences and structures, ranked with the metrics behind the ranking, plus what we would order and test first.
  5. Wet-lab handoffExpression and characterization guidance, and a feedback loop from your results back into the next design round.

Campaigns we have run

De novo CAR-T binders

Custom binders for chimeric antigen receptor therapy.

Transcription factor inhibitors

Targeting classically undruggable transcription factors.

De novo neoantigen binders

Personalized cancer neoantigen targeting.

Peptide inhibitors

Constrained peptides for tough targets.

De novo antibodies

Fully synthetic antibody scaffolds.

CDR optimization

Affinity maturation via CDR redesign.

De novo antivirals

Broad-spectrum antiviral binders.

Also available

  • Consulting and integration — standing up protein design inside your own stack, including the public API and automated submission pipelines.
  • Method selection review — a read on which tools and settings suit your target class, if you want to run it yourself but not from scratch.
  • Results review — a second opinion on a campaign you have already run, before you spend money at the bench.

Start a conversation

Project pricing depends on target difficulty and scope, so it is quoted after the scoping call rather than listed here.