The operating system forthe quantum-era enterprise.
A disciplined path from board-level readiness through hybrid benchmarking to production use-cases — running against the Quantum-O v1.0 monolithic chipset.
Software. Infrastructure. Capital.
One coherent enterprise offering, each pillar priced and delivered separately.
Quantum-O Platform
Board-level readiness scoring, use-case prioritisation, hybrid benchmarking against classical baselines, and ROI modelling — delivered as a subscription.
Quantum Centres
Regional facilities hosting the Quantum-O v1.0 chipset with the required cryogenic infrastructure. Enterprises access compute via managed workloads; centres are project-financed.
Investor Participation
Direct equity, SPV, or project-based capital into either the software platform or the centre network. See the Invest portal for suitability.
Not qubits. Enterprise outcomes.
Readiness Scoring
Assess a business unit's technical, data, and operating fit for near-term quantum advantage.
Use-Case Prioritisation
Rank workloads by expected uplift × feasibility × strategic value against classical baselines.
Hybrid Benchmarking
Reproducible A/B against QuantumO cores and classical HPC, with fidelity, wall-clock, and cost tracked.
ROI Analysis Engine
Blend hardware cost, licence, and staff time into a per-workload margin model.
Platform Analytics
Fleet-wide telemetry, gate-count budgets, and success rates by circuit family.
Roadmap Builder
Milestones tied to Quantum-O v1.0 → v2.0 chipset shipment windows.
Managed access to the Quantum-O v1.0 die.
Where the chipset described in the Chipset portal is hosted, cooled, and delivered as compute-as-a-service.
Hardware Hosting
Sub-Kelvin dilution refrigerators, optical fibre arrays, cryo-electronics racks.
Enterprise Access
Scheduled tenant windows, SLA-backed circuit runs, encrypted job queues.
Managed Workloads
Turnkey pipelines for optimisation, chemistry, and ML kernels.
From workload to measurable outcome.
Concrete pipelines an enterprise runs against a Quantum Centre — not vague promises.
Molecular ground-state energy for a candidate catalyst.
VQE ansatz on Q-O cores, classical optimiser on HPC, joint convergence in the runtime.
Energy error vs. classical DFT baseline, tracked per iteration.
Vehicle routing with time-window constraints across a national fleet.
QAOA on Q-O cores for a partitioned sub-problem; classical solver stitches the global tour.
Cost reduction vs. incumbent solver, wall-clock, and cost-per-solve.
Kernel evaluation for a small-sample classification task.
Quantum feature map on Q-O cores; classical SVM on the resulting kernel matrix.
Accuracy uplift vs. classical kernel, tracked at fixed sample budget.
How workloads actually reach the Centre.
SSO / SAML against the enterprise IdP. No shared credentials.
Encrypted job queue with tenant isolation and SLA-backed windows.
Quantum SDK job submission from Python or a hosted notebook.
Signed result envelope with counts, fidelity, and wall-clock.