Complex Operational Decisions. Solved With Evidence.
Qatalyst builds decision optimisation products for energy and logistics. Our SOLA decision tool helps energy teams decide where to place BESS, targeted grid expansion and flexible capacity under uncertain demand and network conditions, and we are expanding our logistics tools to optimise allocation, scheduling and routing. Classical by default. Quantum only where benchmarking shows it adds value.
Powered by the Qatalyst Decision Solver Engine: classical-first, solver-agnostic and quantum-ready.
From Constraints To Decisions.
A shared four-stage workflow for Sola and logistics: capture the decision, formulate the constraints, compare solver routes and deliver a traceable recommendation for human review.
Capture
Energy projects, possible futures, orders, facilities, vehicles, capacities and operating rules are captured as structured inputs.
Formulate
Objectives, dependencies, budgets, service levels, timelines and risk rules are compiled into a solve-ready optimisation model and reviewed before it runs.
Solve
Classical methods answer by default. Robust, heuristic, hybrid and quantum-ready routes are compared selectively, with every result measured against a classical baseline.
Deliver
Clear outputs: energy portfolios, investment timelines, allocation plans, schedules and routes, with the trade-offs and binding constraints explained.
Products Built On Evidence.
Decision tools presented alongside the research and challenge results behind them. The evidence shown here is benchmark evidence, not a claim of customer deployment.
SOLA decision tool.
The SOLA decision tool helps identify where to place BESS, where targeted grid expansion may unlock value, and which locations remain robust as demand, curtailment and connection conditions change.
View product evidence
On the IEEE 118-bus robust BESS siting objective, D-Wave's Stride nonlinear hybrid solver won five of five equal-time comparisons under the stated time budget.
The study used weather scenarios, N-1 screening and PTDF-based DC power flow. Smaller instances were checked against an exact reference. This supports a hybrid benchmarking approach; it is not a claim of quantum advantage.
EVIDENCE: Global Industry Challenge 2026, DoE track, Phase 3 finalist. Compute provided by D-Wave. Peer-reviewed paper accepted at IEEE Quantum Week 2026, workshop WKS40. Results hold under the stated robustness assumptions and time budget.
Logistics Allocation And Planning.
Allocate orders and capacity across facilities, with the same decision architecture extending to scheduling, routing and disruption response.
View product evidence
Built for the WISER Quantum Challenge 2026: 1,109 orders, eight distribution centres and 25,193 order lines. The exact MILP reference identified an uplift of roughly 530,000 over the do-nothing baseline under the stated assumptions, with an alternative planning rule reaching 633,000. The optimum is near-certified.
In a separate routing experiment run on IonQ Forte during a paid IonQ Qollab Creative Challenge engagement, classical simulated annealing beat the quantum method. We publish adverse results because solver selection only has value when losses are visible too.
EVIDENCE: open challenge track. Benchmark work on supplied data, not a customer deployment. Freight routing under disruption is an active research extension and is not yet published.
Recent News.
Presenting At IEEE Quantum Week 2026.
Research on robust battery storage siting under changing electricity demand and network conditions.
Phase 3 Finalist In The DoE Track.
Robust battery storage siting on the IEEE 118-bus network, benchmarked under uncertainty and network constraints.
Paid Engagement Delivered On IonQ Forte.
Quantum Courier translated optimisation research and real-hardware benchmarking into an interactive browser experience.
Joined Conception X.
The deep-tech venture programme supporting research-founded companies as they develop commercially deployable products.
Selected For The QESP.
Supporting Qatalyst’s commercial strategy, market readiness and partnerships in the UK quantum ecosystem.
Send Us A Message.
Have an energy portfolio or logistics decision you want modelled? Or do you want to explore our SOLA decision tool?
Discuss a pilot
If you are choosing energy investments or allocating logistics capacity through spreadsheets and disconnected rules, we can model one decision and benchmark the result against your current approach. Classical first, with the comparison made visible either way.
Research collaboration
We work with academic and industrial partners on optimisation under uncertainty, in energy networks and freight. Get in touch if you have a benchmark, a dataset, or a problem you think is hard.