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Calibrated on 1,601 real IBM Heron jobs — not simulation. See the corpus →

GPU-first
Drug Discovery.

Two types of compute. One-click discovery pipeline. EpochCore’s proprietary dynamic router decides which compute your target needs. GPU first for economic efficiency. QPU when the results show a difference. Each circuit is pre-compiled so you don’t waste time and money. Each quantum processor is optimally routed by fidelity weighting for quality screening.

Fold Candidate Binding
Open the live run
Partners

01 Fold the target

Step 1 of 4 · structure
Three disease targets, folded fresh every day on Boltz-2 and sealed.
Real fold · Boltz-2
EGFR kinase domain
UniProt P00533 · 712–979 · 268 residues
mean pLDDT —
minted —
run —
models —
anchor —
keys —
checking seal…
KRAS G12D
UniProt P01116 · 1–169 · 169 residues
mean pLDDT —
minted —
run —
models —
anchor —
keys —
checking seal…
SARS-CoV-2 main protease
UniProt P0DTD1 · 3264–3569 · 306 residues
mean pLDDT —
minted —
run —
models —
anchor —
keys —
checking seal…
Coloured by confidence
Blue = high pLDDT · red = low. Boltz-2 writes the per-residue score into the B-factor column.

Each panel draws the coordinates that day's run actually sealed — not a stand-in from a public database. Your browser checks the run's published step 01 record against its seal (the record must hash to the signed digest, and the three signatures must verify with keys pinned in this page's verifier), re-downloads the model output, re-hashes it, and compares that hash to the one in the sealed record; the tick appears only if all of that holds. A run whose step record is not published yet says so and gets no tick. Drag to rotate.

Under each panel is the run it draws: when it was minted (UTC), its id, and where its fold, generate and co-fold models ran (NVIDIA-hosted, or EpochCore GPUs), read from the run's sealed endpoints. On nightly runs the fold's sequence alignment still comes from NVIDIA's hosted service, even when the models ran on EpochCore GPUs.

How it works

Nine sealed steps.
Two chains.
Open them.

Nine sealed steps across two chains: a four-step drug-discovery chain and a five-step clinical-evidence chain. Each step is saved so your team can review it before anyone touches a bench.

Pharma · molecule → IND

  1. Fold the target

    Build a 3D structure of the protein you care about with Boltz-2 (MIT), so later steps work from a real shape — not a guess.

  2. Generate candidates

    Propose small molecules aimed at that fold with GenMol (NVIDIA). You see what was suggested and how it sits in the pocket.

  3. Predict affinity

    Estimate how well the candidate may bind with Boltz-2 co-fold (MIT). Predicted — not a wet-lab measurement.

  4. Search conformers

    Search the winning molecule’s low-energy shapes. The calibrated router picks the machine for the job and the sealed record names which one ran it. A simulation today, not a quantum-advantage claim.

Rx · clinical evidence

  1. Safety signal

    Pull adverse-event signals from openFDA FAERS so safety context sits on the same trail as the rest of the evidence.

  2. Evidence base

    Assemble the clinical literature and prior findings your team will argue from — inspectable, not a black box.

  3. Trial design

    Size the study, prioritise the arms, and lock the design assumptions before enrollment spend.

  4. IND package

    Lay the sealed record against the IND sections of 21 CFR 312.23, so your team sees what is in hand and what still needs the sponsor's own data. A manifest, not a filing.

  5. WORM clinical seal

    Write the clinical record to a tamper-evident seal so compliance can open the trail later without taking our word for it.

Model layer · on by default

Sealed at the model.
Built for audit.

Every step is sealed at the model layer as it runs — signature and watermark on by default, written to a tamper-evident record for audit and traceability. Post-quantum cryptography. Secured with Blockchain Technology: a daily fingerprint of every seal is timestamped in Bitcoin and anchored on Base. A third party can verify the trail without taking our word for it.

Device-aware routing

Time and money
on the right machine.

Wrong machine means queues, noise, and redos. Quantum when a GPU was enough wastes spend; GPU when you needed real hardware won’t survive diligence. EpochCore’s calibrated router — trained on 1,601 real IBM Heron jobs — keeps most work on cheaper GPU/classical, sends only earned jobs to real IBM Quantum, ranks live backends on quality and wait, compiles the circuit, and seals the backend and job id so your team isn’t stuck in prove-it ping-pong.

Two ways in

Discovery or trial.

Kill the bad molecule early.

Screen out non-starters before they burn years and budget.

Open Quantum Pharma →

Design the trial. Carry the dossier.

Size the study, prioritise the arms, keep the IND trail intact.

Open Quantum Rx →

Who it’s for

R&D labs.
Built to be checked.

Built for biotech and discovery teams that need a run they can open and argue with. Not for clinical care or patient decisions.

  • 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

What you can do today

Look first.
Or send a target.

Open the live run

Walk the saved fold, candidate, and binding steps in your browser. No signup.

Open the live run

Send us a target

Tell us the protein you care about. We hand-run a discovery pass and return a link your team can open.

See a full discovery run

Open the live demo now, or email a target and we will run it for you.

Open the live run