Drug discovery you can open.
Fold the target, generate candidates, predict affinity — three steps, each one sealed at the model layer as it runs. Your team reviews the record before anyone touches a bench, and a third party can check it without taking our word for it.
How it works
Three steps. Sealed as they run.
Nothing here runs a model for a visitor. Every panel shows what a real run produced, and the seal is written while the step executes — not reconstructed afterwards.
Fold the target
Build a 3D structure of the protein you care about, so the later steps work from a real shape rather than a guess.
Boltz-2 (MIT) · NVIDIA NIMGenerate candidates
Propose small molecules aimed at that fold. You see what was suggested and how it sits in the pocket.
GenMol (NVIDIA) · NVIDIA NIMPredict affinity
Estimate how well a surviving candidate may bind. Predicted — not a wet-lab measurement.
Boltz-2 co-fold (MIT) · NVIDIA NIMModel layer · on by default
Sealed at the model. Built for audit.
Each step writes a signed, tamper-evident record as it executes: a digest over the step’s own output, an Ed25519 signature, and a link to the step before it. The archive is write-once — a published run cannot be edited later, including by us.
A reader can fetch the chain, re-verify every signature against our published key in their own browser, and confirm the links are intact. Compliance framing is design, uncertified — we are not attesting to a standard on your behalf.
Qubit-aware routing
Time and money on the right machine.
Most work belongs on GPU, and that is where it stays. No step of the discovery chain runs on quantum hardware today, because none of them has earned it. The clinical chain does — its trial-design step runs QAOA on a real IBM Heron QPU and seals the job id with the result. Both facts are in the sealed records, and we would rather you read them here than find them there.
What does exist is the corpus the routing weights were fitted on: 1,605 real IBM Heron jobs run between 9 February and 2 July 2026. Every job id, device, circuit and shot count is published, together with a plain statement of what it proves and what it doesn’t.
Every circuit in it is pre-compiled — transpiled to the device’s native gate set before it runs — and the depths and gate counts are published with it. That is the part you can check against IBM’s own device specifications without an account.
Two ways in
Discovery or trial.
Kill the bad molecule early
Screen out non-starters before they burn years and budget. Fold, generate, pre-screen for drug-likeness, then co-fold the survivors.
Open Quantum Pharma →Carry the dossier
Assemble the safety signal and the evidence base your team will argue from, and keep the trail intact and inspectable.
Open Quantum Rx →Who it’s for
R&D labs. Built to be checked.
- Discovery and computational chemistry groups evaluating new targets
- Biotech R&D leads who want a fold-to-binding trail before wet-lab spend
- Partner teams that need a shared, inspectable run — not a black box
Every affinity number on this site is a prediction from a model, not a wet-lab measurement. This is a research tool for discovery teams. Not for clinical care or patient decisions.
What you can do today
Look first. Or send a target.
Open the live viewer and walk a saved fold, candidate and binding step in your browser — no signup. Or tell us the protein you care about and we will hand-run a discovery pass and return a link your team can open.