The AI-native R&D operating layer.
Three pillars, one closed loop — data infrastructure, agentic decisions, and execution feedback, working as one system.
How it fits together
Three pillars, one closed loop.
Each pillar mirrors a layer of the live platform — data, decisions, execution — and the loop closes when wet-lab evidence flows back into the next design round.
- 01Data
Data Infrastructure
Assays, structures, and metadata unified into one queryable substrate.
Explore - 02Decisions
Axiom™
Agents generate and score candidates against developability gates.
Explore - 03Execution
Ark™ + Cryo-EM
Robotic wet-lab runs return structural evidence in days, not months.
Explore
Gold-standard data, ready for AI.
We curate antibody–antigen complexes, pre-calculated structural properties (affinity, binding free energy, developability liabilities) and AI-driven cryo-EM structures into a single training-grade dataset. Manufacturability and developability metadata are first-class fields, not afterthoughts.
- Curated complexesAntibody–antigen complexes covering immune and non-immune proteins.
- AI-driven cryo-EMStructure determination with cost reduced by > 70% vs conventional pipelines.
- Pre-calculated propertiesAffinity, ΔG and developability flags, ready for downstream scoring.
The model proposes — you decide.
Axiom™ pairs deep-learning generative design with physics-guided optimisation — but the human stays in the loop. Every run gates at the decisions that matter: approve the budget, review each round's humanness, steer the back-mutations. Watch a live antibody-humanization loop below, or click through it yourself.
- Human-in-the-loop gatesApprove cost, review each round, choose the back-mutations — nothing reaches the lab unseen.
- Generative + physics scoringDeep-learning design with physics-guided optimisation across a multi-stage cascade.
- Developability gateManufacturability and developability filters built into every round.
Every round closes on a cryo-EM structure — experimental ground-truth, not a prediction.
Axiom's candidates run straight into Ark's automated wet-lab, then cryo-EM resolves each one to near-atomic detail. That measured structure flows back into the model — so the next generative round is grounded in real 3D evidence, not estimates.
- Ark™ automated wet-labStandardised digital protocols and high-throughput auto-lab turn each design into testable material — the groundwork the loop runs on.
- Cryo-EM in the loopExperimental near-atomic structures — native state, no crystallisation — feed the model as ground-truth, where others rely on predictions.
- Self-improving cycleEvery resolved structure sharpens the next generative round, compounding gains campaign over campaign.