Quantum hardware will disappoint
your enterprise through 2028.
Our audit is built to tell you where, and where not.
Q-Intercept builds a paid diagnostic that runs on-prem on your existing classical clusters to identify which workloads (molecular simulation, portfolio optimization, logistics) are bleeding compute spend today, and which will benefit from quantum acceleration when the hardware matures.
The Quantum Audit
A paid diagnostic CLI that runs on-prem inside your HPC infrastructure. Two weeks. $40K. One board-ready report.
What we measure
- Workload classification against 15 quantum-advantaged archetypes
- Quantum Suitability Score (0–100) per workload
- Dollar-cost of every bottleneck on your classical infrastructure
- Earliest credible hardware horizon per archetype
What we deliver
- Board-ready PDF with methodology hash on every page
- Per-workload table: archetype, match strength, score, band, and annualized classical cost
- Top 10 workloads by annualized classical cost, with queue-wait cost shown separately
- Public methodology (1.0.0-draft), built for advisor sign-off
What we won't claim
- Speedup multipliers on today's hardware
- Promised quantum-advantage delivery dates
- Vendor performance comparisons
- ROI projections beyond classical bottleneck cost
The honesty guardrail. This is the moat.
The Q-Intercept Latency Index
The first quarterly benchmark tracking the dollar cost of inefficient quantum-classical handoffs at enterprise HPC centers.
Every audit feeds the Index. No paid audit has closed yet; the inaugural report publishes the quarter after the first five paid audits close. Methodology public. Data sanitized. No customer ever named.
Why the Index matters
In 2026, hyperscalers will deploy hundreds of billions into hybrid quantum-HPC infrastructure. Classical GPU clusters sit idle waiting for QPUs to return results. Nobody publishes the actual cost.
We do. Quarterly. Methodology built for advisor sign-off. The number you'll see cited in board decks by 2027.
The Quantum Suitability Score
Every workload in your audit gets a 0–100 score. Rule-based, auditable, no ML black box. Five inputs, five weights.
Banding
Why Q-Intercept
Hardware vendors are building proprietary stacks. We're building the routing layer that sits above all of them.
Hardware-agnostic
Vendor-neutral routing across IBM, AWS Braket, IonQ, neutral-atom. Write once in Python; we compile to whatever backend delivers the best error-mitigated execution today.
Container narrative
Quantum resources invoked like AWS Lambda. We're building the Docker-equivalent for Quantum-Integrated HPC.
openQSE
Open Quantum-HPC Software Ecosystem. Vendor-neutral reference architectures. Hyperscalers don't want IBM or NVIDIA lock-in. We're the neutral layer they actually want.
Position the destination.
Productize the wedge.
Roadmap the rest.
We don't pitch products that don't exist.
Quantum Audit (CLI)
Built & GPG-signed · GA withheld until a named advisor signs · no paid audit closed yet · on-prem, $40K per engagement (first cohort on design-partner terms)
Latency Index · inaugural report
Event-gated · publishes the quarter after the first five paid audits close
Quantum-Aware Scheduler
Q4 2026 at earliest · depends on audit volume · calibration-aware routing brain on top of Slurm / K8s / PBS
Hardware Virtualization Layer
No date · error mitigation across QPU vendors
Who we serve
Three industries with well-characterized quantum-advantaged problem signatures.
Pharma
VQE-routable molecular Hamiltonians. Drug-discovery teams burn HPC budget on classical molecular dynamics that map cleanly to archetypes with well-characterized quantum suitability.
Finance
Portfolio optimization, Monte Carlo risk, derivatives pricing. Quadratic-cost workloads that struggle to scale on the trading-desk clock.
Logistics
MILP routing, scheduling, network flow. Combinatorial optimization where classical objective functions blow up at enterprise scale.