Pricing an option. Routing a fleet. Scheduling a shop floor. Matching donors to patients. Every solution on this page links to a working program — one you can open in our browser lab and run right now, signed out, for free. Proof first, promises second.

Each card opens the full solution — the business problem in your words, how an engagement runs, and the results we actually measured, not the ones we hoped for.
Option pricing, tail risk, and portfolio selection — the three workloads every quantum-finance roadmap starts with, running as real programs.
Kidney paired-exchange matching, medical-image edge detection, and a quantum kernel that classifies where linear methods provably cannot.
Ground-state energy is the atom of drug and materials discovery — watch a variational eigensolver break through the ceiling a classical ansatz provably cannot pass.
Vehicle routing under capacity, knapsack loading, and workforce rostering — every evaluation a real circuit run, every claim measured.
Shop-floor scheduling is NP-hard the moment it matters — a job-shop formulation drawn as a Gantt chart your planner would recognise.
Unit commitment — which plants run, which stand by — as an Ising model trained against risk-aware objectives, with penalties that punish blackouts.
Patch the fewest systems that cover the whole attack surface, search constrained spaces with Grover, and draw certified randomness from a quantum coin.
Congestion is quadratic pain: doubling load on a link quadruples the cost. Routing flows around a hot edge is a natural Ising problem.
The canonical algorithms, runnable — phase estimation, error correction, amplitude estimation converging on π — plus 22 attributed reference implementations.
Quantum vendors love a claim. We publish programs. Every number on this page came from an execution we can reproduce, on the same simulator your browser will use — and when a classical method still wins at your scale, the program's own output says so.
Every engagement ends with something that runs — in your team's hands, on our platform, with the decision written down: pursue, park, or drop.
Two weeks. Your engineers, our lab and lessons. They leave writing and running quantum programs against real problems from your domain — not toy notebooks copied from a course.
For teams starting from zero.We take one problem you actually have — a schedule, a portfolio, a matching — formulate it, run it at demonstrable scale, and give you a written verdict on when (or whether) quantum earns a place in your stack.
For teams that need an evidence-based answer.A custom application on our platform: your data and constraints, our SDK, hybrid quantum-classical pipelines, transparent per-shot economics from day one.
For teams past the proof stage.A schedule that slips, a portfolio under constraints, a network that runs hot. Tell us what it is — we'll tell you honestly what quantum can and cannot do about it today.