Portfolio
One rule governs all of them: benchmark it, or don’t claim it. Where a quantum method beats the classical baseline we will show you the numbers. Where it does not, we will tell you that instead.
01 — Decision Intelligence
Quantum-inspired and hybrid optimisation runs on ordinary CPUs and GPUs today — no quantum hardware, no capital expenditure. The solvers are not the bottleneck. The documented blocker is integration: hybrid solvers have to synchronise with planning, MES and ERP systems that were never designed for that interface.
That gap is where we work. A solver that produces a better schedule but cannot write it back into SAP has changed nothing on the shop floor. Our founding team has spent decades inside those systems.
Production scheduling, network and route optimisation, inventory positioning and capacity planning for manufacturing, logistics and distribution.
Benchmarked against your current solver, with the comparison published in the report whichever way it falls.
Portfolio construction, scenario and risk modelling, and settlement or netting optimisation problems where classical methods hit combinatorial limits.
Delivered with explainability built in — a result a risk committee cannot interrogate is not a result.
Demand and inventory forecasting where the planner must be able to interrogate the answer. Our approach is published, peer-reviewed and entirely classical — gradient boosting with SHAP attribution, so every prediction traces back to the factors that drove it.
Available today. No quantum component, no waiting. See Research for the paper and its DOI.
Diagnostic and clinical machine learning, and the operational side of pharma: trial site selection, cold-chain and distribution planning, and production scheduling for regulated manufacturing.
Backed by five peer-reviewed papers in clinical diagnostics — tumour detection from MRI, cardiac screening, renal and endocrine diagnosis, and breast cancer classification. Four carry DOIs. See Research.
Molecular simulation and computational drug discovery are the deepest problems in this field, and the ones quantum will eventually reshape most. They sit on our long-term research track: we follow the hardware maturity curve closely and are building the academic partnerships that will make them deliverable.
Today we work across the clinical and operational side of life sciences, where our published record already sits.
Quantum-inspired classical solvers, hybrid formulations, and where technically appropriate QAOA, VQE and QFT-based approaches. Reference implementations, benchmarked — not production software claims.
We own no quantum hardware and are tied to none. Quantum-inspired methods run on the CPUs and GPUs you already have; where a genuine QPU helps, we reach one over the cloud. That leaves you free to change your mind about which hardware wins.
If a classical solver is the right answer, that is the recommendation you will get.
How an engagement runs
Each rung produces the input the next one needs, and each ends in a decision you could act on without buying the next.
We take one decision that costs you money — a production schedule, a delivery round, a multi-echelon inventory policy — and establish whether better is achievable at all. That begins by measuring what your current method actually produces, which is the step most vendors skip.
Typically 4–6 weeks · For Operations, Supply Chain, Manufacturing IT
Your incumbent solver against quantum-inspired and hybrid approaches, on your data, measured on what you are accountable for: cost, throughput, on-time delivery, and how long a run takes.
Published work on hybrid supply-chain frameworks reports cost reductions in the low-to-mid teens on standardised benchmarks. Your number will come from your data, not from a benchmark suite — measured on your constraints, your volumes and your objective, and stated in the report whichever way it falls.
Typically 6–8 weeks · For Operations, Data & Analytics leaders
The rung almost nobody else sells, and the reason we think we can win here. Taking the solver that won the bake-off and wiring it into the system of record — SAP S/4HANA, IBP or APO, your MES or WMS — so the optimised plan arrives where planners already work rather than in a spreadsheet nobody opens.
That means master-data quality, integration patterns, run scheduling, a fallback to the incumbent when the solver underperforms, and a change process operations will actually adopt.
Scoped per estate · For Manufacturing IT, ERP and Supply Chain leadership
Optimisation models decay. Demand patterns shift, constraints change, and a model tuned for last year quietly stops earning its keep. This is continuous monitoring for solution drift, periodic re-benchmarking against the incumbent, and re-tuning as the business changes.
The monitoring tooling is in active development, built with organisations we are already delivering for, so it is shaped by real production models rather than assumptions.
Monthly retainer · Available to existing engagement clients
02 — Applied Research & Co-Innovation
Structured, milestone-based research programmes with enterprises, government agencies and academic partners. This is where genuinely early work belongs — labelled as early, rather than sold as ready.
Milestone-based engagements to co-develop solutions to entrenched technical problems, with defined gates and an agreed exit at each one.
Short, bounded studies that establish whether a problem is worth pursuing before anyone commits a budget to it.
We participate in and help assemble funded research consortia. Our published research record is the reason we can. See Research.
Research collaborations produce co-owned IP with licensing pathways agreed at the outset, not negotiated after a breakthrough.
Taking a method that works in a paper and hardening it until it survives a production environment. Most of the work is in the second half.
Cryptographic protocol design, quantum-AI for predictive maintenance, and forecasting for agricultural and weather risk. Each is labelled with its real status on the Research page.
03 — Quantum Infrastructure Readiness
We help you decide what to buy, whether to buy it yet, and how it would fit the estate you already run. Independent of any vendor, because we do not resell and take no commissions.
Technical due diligence on quantum compute access, networking and cryptographic hardware proposals, including the questions vendors would rather you did not ask.
How quantum or quantum-safe components would sit inside real enterprise infrastructure — control systems, identity, key management, and the operational burden each adds.
Requirements definition, evaluation criteria and a defensible written recommendation your procurement and audit functions can rely on.
A cryptographic inventory is accurate on the day it is delivered and decaying by the end of the week. New services deploy, dependencies change, certificates rotate, and algorithms get deprecated.
We are building a platform that keeps a CBOM current: automated discovery across code, cloud and network; a crypto-agility score per system so you know how hard each fix will be; and a compliance view that maps every finding to the specific mandate and date it breaches.
It is in active development, built alongside a small number of organisations we already work with and shaped by their production estates. We will open it more widely once it earns that.
Focus sectors
We work where our research record and the regulatory pressure actually overlap. If your sector is not listed, we will say so rather than stretch.
Long-lived confidentiality obligations, dense PKI, and DORA and NIS2 resilience testing overlapping the migration window.
The hardest deadlines and the clearest published guidance, across UK and US instruments.
Long-lived hardware roots of trust and operational technology that cannot simply be patched.
Routing, fleet and multi-echelon inventory decisions where combinatorial complexity is the constraint and the planning system is the bottleneck.
Clinical decision support, medical imaging, and pharma operations — trials, cold chain and regulated manufacturing. Long data-sensitivity windows also make this a harvest-now-decrypt-later sector.
Get in touch
Tell us which problem you want bounded, and we’ll come back with a scope and named outputs.
We don’t publish prices. If the work is relevant to you, get in touch and we’ll discuss the engagement model and pricing that fit the scope.