SOFTWARE FOR MANUFACTURERS

We start from the process, not from a product

Every system we build begins with a model of what is physically happening on your floor. That is as true of a manufacturing execution system as it is of an AI model or a numerical solver. It is why our software fits the plant rather than forcing the plant to fit the software — and why an engineer can understand and check what it tells them.

IN PRODUCTION TODAY

MES for Manufacturing

A manufacturing execution system that reads directly from the PLCs on your floor — live production tracking, true OEE, downtime analysis, quality against specification, and full lot traceability. Built for mixed automation estates, running on your own infrastructure.

GROUNDED IN THE PHYSICS

Industrial AI

Predictive maintenance, visual quality inspection, process optimisation and forecasting — built on models that respect what the process can physically do, and that expose their reasoning so an engineer can check them.

FIFTEEN YEARS OF IT

Engineering Software

Numerical modelling, simulation and scientific computing on contract — for when the calculation at the heart of your product or process has to be provably right, and validated against the standard it implements.

Where to start

Most conversations begin with one of these. Find the one that sounds like your plant.

“We can’t see what’s actually happening on the floor.”

Production tracked on paper and spreadsheets, downtime reconstructed after the shift, an ERP that goes blind below the work order.

START WITH MES

“A customer audit is coming and traceability is manual.”

Answering a traceability request means hours in the archive, and the quality record is assembled after the fact rather than as you run.

TRACEABILITY & GENEALOGY

“Every plant in the group runs something different.”

No comparable numbers across sites, every deployment a separate project, and group reporting stitched together by hand each month.

MULTI-SITE ROLL-OUT

“We have data, but we don’t know what it’s worth.”

Perhaps an AI pilot that went nowhere. We will tell you honestly what your data would support - including when the answer is “not yet”.

AI READINESS ASSESSMENT

How the pieces fit together

You do not have to do all of this, and you certainly do not have to do it at once. But there is a natural order, and skipping the first step is why most industrial AI projects fail.

The natural order of a manufacturing software programme Three stages: measure the process with an MES, understand it through reporting and analysis, then improve it with AI models built on that data foundation. 1  MEASURE An MES collecting from the machines - the data foundation 2  UNDERSTAND OEE, downtime, quality and traceability you can act on 3  IMPROVE AI models trained on data that actually reflects the process Each stage delivers value on its own. Stage one pays for itself long before any model is trained.

Why work with us

Running in production

Our MES operates a production floor today, across a full manufacturing process - not a prototype or a proof of concept.

Your data, inside the EU

A European company. Systems run on your own servers, on-premise or EU-hosted, with no third-party platform licence.

Built for mixed estates

Real plants rarely run one PLC brand. We read from what you already own, without a rip-and-replace of your automation.

We run it for you

Built, then operated and maintained as an ongoing service - updates, monitoring and engineers on call. No software team needed.

Industries we work in

Our deepest experience is in the automotive supply chain and in wire and metals processing, where traceability is a customer requirement rather than a nice-to-have. The same capabilities apply wherever a process produces data worth acting on.

ALL INDUSTRIES

In production, not in a brochure. Our MES runs the production floor at a tire-reinforcement plant in Central Europe, collecting data directly from the machines across the full process. A second plant, in another country, is being brought onto the same system.

TELL US ABOUT YOUR PLANT

Your process, your systems, and what you are trying to improve. We will walk you through how we would approach it and where a pilot would start.