The fastest path from target to patentable peptide.

Stop waiting years for novel ingredients. Our AI self-driving foundry discovers, synthesizes, and wet-lab validates new peptides in weeks. We deliver exclusive, high-conviction candidates, saving your R&D team years of pre-clinical failure.

Or reach out to our team at contact@enloq.co

BUILT BY ENGINEERS FROM GOOGLE · AMAZON · TESLA
01YOUR R&D REALITY

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.

BRUTE-FORCE SCREENING
LEGACY
Guess. Test. Burn cash. Repeat.
  • 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
COMPUTATIONAL DESIGN
FOUNDRY
Design it. Verify it. Ship it.
  • Targeted generation of novel geometries
  • Closed-loop cycles compound across every target
  • Filtered for stability, cost, and IP up front
  • SPPS-native sequences only
  • One design engine, not a lab army
02CURRENTLY IN VALIDATION

The loop is already running.
These are the targets in flight.

Live programs across cosmetics and agriculture. Composition rights go exclusive the moment a target is locked.

Tyrosinase
Cosmetics · pigmentation
Active-site occlusion peptides with low melanocyte cross-reactivity.
IN VITRO · CYCLE 3
Chitinase
Agriculture · biocontrol
Substrate-channel binders selective for fungal isoforms.
IN VITRO · CYCLE 1
Keratin K31 / K85
Cosmetics · structural repair
Hydrophobic-packing peptides for denatured intermediate-filament rod domains.
IN VITRO · CYCLE 2
Free thiols at hair damage sites
Cosmetics · covalent repair
Cysteine-positioned peptides forming disulfide bridges with exposed thiols.
DESIGN
Don’t see your target? The loop accepts new briefs each Monday.
03THE LOOP

From your brief
to our shortlist.

An autonomous AI science team. Agents form hypotheses, generate candidate peptides, design the experiments, run them in our wet lab, and feed the learnings back into the model. Every cycle starts sharper than the last.

Enloq's in-house automated wet lab — robotic synthesis and assay stations behind glass partitions
IN-HOUSE AUTONOMOUS LAB
LAB D
Automated synthesis and assays — every shortlist pressure-tested in our lab before it reaches you.
STEP 01

Hypothesis

You bring the target — receptor, binding constraint, manufacturing envelope, IP whitespace. The loop translates it into a formal hypothesis to test.

STEP 02

In silico design

AI agents propose thousands of candidate peptides and pre-filter for binding, stability, manufacturability, and IP novelty.

STEP 03

Autonomous wet-lab validation

The shortlist is synthesized and run through wet-lab assays in our automated facility. Activity, binding, and stability are measured against your real target.

STEP 04

Learn & deliver

Validation data flows back into the model. Priors update; the next cycle starts sharper. You receive the IP-clean shortlist plus full dossier.

04ANSWERS

Before the call,
the obvious questions.

Don’t see yours? Ask us directly. We respond the same business day.

Your first peptide.
Skip the campaign.

Scope a target with us on a 30-minute call. We’ll tell you whether your problem is tractable in our closed loop, and what compressed discovery would look like.