Routing
Least-cost vehicle routing under real-world constraints — the home of RouteIQ.
Transportation & Logistics
Quantum-optimized logistics — where the optimization is hardest and most measurable.
Routing, scheduling, dispatch and workflow are combinatorial problems where classical solvers plateau. Quantum-inspired and hybrid quantum-classical optimization is built for exactly that regime — the domain where our libraries are most mature, the outcomes clearest, and the science became a product first.
The problem
Operational complexity is outgrowing traditional optimization.
Vehicle routing and scheduling are classic NP-hard problems: add vehicles, time windows, capacities, and service levels, and the search space explodes faster than traditional solvers can keep up. They do well to a point, then plateau — and every new constraint widens the gap between the routes you run and the routes you could. Quantum optimization closes that gap: our hybrid quantum-classical and quantum-inspired methods are built for exactly this regime, and we prove the difference on your own data before anything changes.
What we optimize
Four problems, one core.
Scheduling & dispatch
Real-time scheduling across constrained fleets and field-service crews.
Workflow & throughput
Hub and warehouse flow optimization to lift throughput.
Decision support
Semantic search and decision support over operational and logistics data.
The products
This is where it becomes product.
Logistics is the first productized domain. RouteIQ leads, with DispatchIQ, FlowIQ, and SemanticIQ behind it — on one shared optimization platform.
See the IQ product family.
RouteIQ is in beta and benchmarks on your data before you switch anything.
See the products →The science
Built on QuMatrix research.
The quantum optimization behind QuGradient comes out of fifteen years of quantum and HPC work at QuMatrix. The relevant capabilities:
Have a fleet to optimize?
Share historical routes and constraints; we'll benchmark against your current solver and give you a clear read.
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