Qatalyst turns operational constraints like power limits, fleet schedules, and port capacity into solve-ready models. Fast decisions by default. Quantum back-ends when scale demands it.
Automated model generation and continuous re-optimisation as ground conditions shift. No manual maths. No waiting.
Every constraint is explicit, auditable, and communicable across teams. The logic behind every recommendation is traceable.
Optimise time, cost, energy, and emissions in one decision layer. Built for the transition to electric freight.
Four stages. Fully automated. The solver stays behind the scenes. You get assignments, schedules, and routes.
Operational rules, vehicle specs, power limits, and time windows are ingested as structured constraints.
Constraints are compiled into a solve-ready optimisation model (MILP, QUBO, or hybrid) automatically.
Classical solvers run by default. Quantum or hybrid back-ends activate selectively when coupling and scale justify it.
Clear outputs: charging schedules, route allocations, capacity plans. Full full constraint traceability.
Qatalyst was selected as a winner of the 2026 Creative Challenge by IonQ and Qollab. Our entry, Quantum Courier, turns vehicle routing with time windows into a five-stage browser game. Play it free, no sign-up needed.
Operations where decisions are coupled, time-critical, and repeat daily.
Rolling charging schedules across sites with limited grid capacity, clustered arrivals, and tight readiness deadlines. Optimises across vehicle priority, state-of-charge, and time-of-use tariffs simultaneously.
Where to place battery storage across a distribution network, under a fixed capital budget and across multiple contingency scenarios. The combinatorial search space grows fast as networks scale, and classical methods stall. Same QUBO engine as Qatalyst's freight work, applied to grid planning.
Multi-modal route planning with energy-aware SoC constraints, charging stop placement, and cross-channel corridor selection.
Rapid re-optimisation when weather, infrastructure failures, or supply disruptions force real-time schedule and route changes.
One constraint model. Multiple solver back-ends. You choose classical now, add quantum when the problem outgrows it.
Assignments, schedules, routes, and capacity plans surfaced via dashboard or API. Constraint audit trail included.
Operational rules compiled into MILP, QUBO, or CQM formulations. No manual modelling required.
Classical optimisation by default. Hybrid annealing and gate-model solvers available for highly-coupled, large-scale problems.
ETISplus freight network, real-time fleet telemetry, port schedules, grid capacity, and energy tariffs.
Conception X
Microsoft
Cambridge Female
Kipu
Whether it's fleet charging, grid storage siting, or multi-modal routing, we'll show you what Qatalyst can do with your constraints.
hello@qatalyst-quantum.co.uk