rhumb.
Parcel rounds, engineer call-outs, care visits, bin collections: every urban fleet is solving the same problem, visiting the right stops over real streets at the lowest cost. Rhumb builds the digital twins and optimisation engines for that job: classical and GPU solvers today, quantum as it matures, because every problem is already written in the maths quantum computers accept.
All five run in your browser on real streets and real terrain, no video, no sign-up to look. They share one engine: the same cost model, the same solver registry, the same benchmark harness.
Size a fleet, watch the day run under live traffic, and get a costed vans-versus-cargo-bikes study. Import your own stops as a CSV and it becomes your streets, your day, your business case.
Play the delivery twinMonte Carlo hundreds of disrupted days: closures, gridlock, demand spikes, breakdowns. Learn the chance the day fails, which streets are fragile, and where the standby vehicle should wait.
Stress-test a cityDrone raids on a protected site over real elevation data. Choose where the counter-UAS budget goes, and which effectors buy it, when a third of the threat is immune to jamming.
Site a counter-UAS laydownSCOOT-like signal control on real junctions, with a blue-light run that pre-empts the signals ahead of an ambulance and scores the journey with and without priority. Which movements share a green is a maximum independent set: the problem quantum hardware is built for.
Run the signal networkNorth Wales to the Walton Centre: a stroke patient, the A55, the Mersey tunnels and a clinical clock. Hundreds of sampled days answer which way, road or helicopter, and where the stand-by crew should wait.
Run the corridorFaithful, live road networks with real OpenStreetMap geometry, one-way systems, traffic lights and drifting congestion, built for running what-if scenarios that would be too slow, costly or risky to trial on the street.
Fleet routing, one-way constraints and live traffic compiled into a single QUBO cost model. Solvers plug in behind it: exact classical, 2-opt, simulated quantum annealing, GPU simulated bifurcation, and real quantum annealers when they earn their place.
Simulation heritage spanning 5G RAN dashboards and RIC integration, sensor-rich autonomous-vehicle scenes and city-scale logistics under disruption. These are the environments where optimisation matters most.
The twin does not care what the vehicle carries. The same allocation, routing and capacity maths serves last-mile delivery, field service and engineer scheduling, home care and community health rounds, waste and recycling collection points, and pharmacy, lab and patient transport runs. Import a CSV of your own stops, size the fleet, and the twin prices your day in pounds, hours and CO2, then hands you a printable report.
The delivery twin on this site is live code, not a video. Real streets, a fleet you size yourself, live traffic drift, and three routing strategies racing on the identical cost model, with the savings printed next to each choice. Click any strategy's ⓘ for the maths, click any street for its name and live speed. And it is not one baked city: pick Liverpool, Glasgow or Soho, Dublin or Amsterdam, or type any UK postcode, and the twin rebuilds itself on those streets in about two seconds. Behind it sits a 70 GB pre-built map of every road in the UK, Ireland and the Netherlands, prepared from OpenStreetMap for our driving-simulation programme. Import your own stops as a CSV, deliveries, visits or collections, and it becomes your streets, your day and your business case.
Typical result on a full run: optimised routing beats naive nearest-neighbour dispatch by 10–13% in drive time, with return-to-depot legs included. The same pipeline scales from a browser tab to GPU clusters.
Rhumb Limited builds on two government-funded quantum programmes delivered under CGA Simulation. QATO (Quantum Annealing for Transport Optimisation, Innovate UK) formulated live routing problems for D-Wave annealers with STFC's Hartree Centre, working directly with senior members of the D-Wave team. QuEST (Quantum-Enhanced Sustainable Transportation, SBRI) examined fault-tolerant quantum computing for transport planning with Hartree and PsiQuantum, consulting authorities from Greater Manchester to Oxfordshire and the West Midlands. Rhumb holds a royalty-free licence to the QATO results, and a decade of city digital twins, 5G/RIC dashboards and driving-simulation research sits underneath it all. Industry pilots by Volkswagen, Toyota and DENSO reporting 6–26% gains say this is where transport optimisation is heading; we build the road to it.