Qu · QUANTUM FOR MSMEs
Hybrid and quantum-inspired algorithms on your real planning problems. Cloud access, no hardware purchase.
THE CASE FOR STARTING NOW
What changed is not the hardware roadmap. It is that you can rent the compute and run the method on your own data this quarter.
Cloud QPUs are rentable by the minute, and quantum-inspired solvers already run on ordinary servers. Testing the approach costs weeks, not capital.
Mid-sized manufacturers, logistics firms and processors sit on exactly the combinatorial problems these methods target — and most plan them in spreadsheets today.
Hybrid quantum-classical pipelines, quantum-inspired algorithms, and cloud QPU access. A classical solver always stays in the loop as the fallback.
CLAIMS DISCIPLINE
Quantum marketing has a credibility problem. Here is our side of the line, in writing.
CAPABILITIES
Optimisation is production-capable today. Quantum ML is marked exploratory because that is what it is.
Production scheduling, vehicle routing, inventory and supply-chain planning, cutting-stock and nesting — reformulated for quantum and quantum-inspired solvers.
What you get
Materials and chemistry exploration for small chemical, pharma and materials firms, run on simulators and small QPUs at problem sizes they can actually handle.
What you get
Hybrid quantum-classical models for anomaly detection and forecasting. Marked exploratory on purpose — these are research pilots, not production commitments.
What you get
Inventory the cryptography in your devices and IoT fleets, then plan the migration to post-quantum algorithms before it becomes urgent.
What you get
ENGAGEMENT MODEL
Four gates. Each one can end the engagement, and that is the point.
We map your planning problems, data and tooling, then say which — if any — are worth a quantum pilot. Output is a short written assessment.
One problem, modelled and run on simulators and cloud QPUs. Benchmarked against your current method on your historical data.
The solver goes into production behind your planning workflow, with the classical path live as fallback and a measured comparison running.
Additional problems, more sites, and a maintained model library. Reviewed quarterly as hardware and solvers improve.
FAQ
No. Everything runs on simulators and cloud-accessible QPUs billed by usage. Most of the value in early engagements comes from quantum-inspired solvers that run on classical servers you already have.
Sometimes, for some problem shapes, and only a benchmark can tell. That is why every engagement starts by measuring your current method on your own data. If it wins, we say so and the project stops there.
Classical algorithms derived from quantum formulations — simulated annealing variants, tensor-network methods, digital annealers. They run on ordinary hardware and are often the practical answer today.
For optimisation, historical plans and constraints matter more than volume: a few months of orders, routes or schedules is usually enough to build a representative benchmark.
Because device fleets live for ten to fifteen years. Firmware shipping today with RSA or ECC keys will still be in the field when migration deadlines arrive. The inventory is cheap to do now and expensive to do late.
NEXT STEP
Eight questions, a readiness band, and a next step that matches it.