Stop mass screening.
Ship a peptide in a week.
Brief us a target Monday. Get back IP-clean, manufacturable peptide sequences by Friday — pre-scored for binding, stability, and synthesis cost. Your wet lab runs the assays that prove it; we handle everything upstream.
- Food
- Agriculture
- Cosmetics
- Industrial Enzymes
You don’t have an R&D problem. You have a search problem.
Every random-screening campaign is a lottery. Most hits fail at manufacturability. The rest get blocked on IP. Each cycle costs a budget line and a quarter of calendar. Your team isn’t slow — your search algorithm is. We replaced it with one that works.
- 10,000+ random sequences per campaign
- 2–3 years of wet-lab screening
- Hits collapse at stability, cost, or IP
- Manufacturability discovered late
- Opex-intensive, headcount-bound
- Targeted generation of novel geometries
- 1-week closed-loop computational sprint
- Filtered for stability, cost, and IP up front
- SPPS-native sequences only
- One design engine, not a lab army
Candidates that cleared your filters
before we sent them.
Generative diffusion. LLM-orchestrated multi-agent search. Evolutionary computation. Bayesian optimization. Four disciplines, one closed loop — all aimed at your target, your receptor, your manufacturing envelope. Not a wrapped LLM. Not a single diffusion model. A choreography.
EVOLUTIONARY · BAYESIAN
Generative Diffusion
3D backbones, not sequencesDiffusion models propose novel geometries that dock with your target receptor. Structure first, language second — so the sequence is always serving a function, not the other way around.
Inverse Folding
Structure → sequenceEach backbone is decoded into the amino-acid sequence most likely to fold back into it under your physiological conditions. The geometry survives the translation.
Multi-Agent Evolution
LLM-orchestrated populationsA swarm of LLM-backed specialist agents — each tuned to binding, solubility, charge, manufacturability, or IP novelty — evolves the population across generations. Selection runs against a fitness landscape built from your target constraints.
Bayesian Validation
ΔG · half-life · manufacturability · IPEvery surviving candidate is scored against binding energy, conformational stability, serum or soil half-life, SPPS synthesis cost, and IP novelty. The Bayesian loop updates its priors and the next generation starts smarter.
Brief Monday.
Ship Friday.
Your internal R&D team runs physical assays to verify. We do the computational lifting. You lower risk without adding headcount.
Target briefing
30-minute call: receptor, binding constraints, manufacturing envelope, IP whitespace. We translate your brief into a formal optimization problem and lock the spec.
Structural generation
Diffusion produces ~10⁶ candidate geometries against your target. Inverse folding decodes each into synthesizable sequences.
Multi-objective optimization
LLM multi-agent swarm + Bayesian loop compresses the library on ΔG, stability, soil/serum half-life, SPPS cost, and IP novelty — in parallel, not series.
Delivery
IP-clean sequences + full computational dossier: predicted structure, binding rationale, stability profile, synthesis protocol, freedom-to-operate.
Before the call,
the obvious questions.
Don’t see yours? Ask us directly. We respond the same business day.
Your first peptide.
One week away.
Scope a target with us on a 30-minute call. Brief us Monday, ship sequences Friday — your lab runs the assays that prove it.