We have done the job we are selling to
Our engineers spent their careers inside plants, not around them. It shows in what we choose to build, and in what we tell you not to bother with.
Industrial intelligence
Industrial IoT, vision, robotics and AI as one accountable platform, built by people who have spent their careers on a shop floor.
Our engineers spent their careers inside plants, not around them. It shows in what we choose to build, and in what we tell you not to bother with.
Sensors, vision, robotics and software are built by the same people. Nothing falls into the gap between suppliers, and there is one number to call when it does.
We start on a line you pick, measured against numbers you set. If it does not hold up there, it has no business being rolled out anywhere else.
You get solutions that are practical and implementable on your floor, not just impressive in a deck.
Progress you measure in output, uptime and quality, not features nobody opens.
Push live data into your ERP, MES and BI tools over standard protocols and open APIs.
Production visibility, operational control, workflow digitisation, asset performance and decision support. Our mission: move industry from fragmented manual work to connected, measurable operations.
Solutions that work on real shopfloors, because they are built by people who have run them.
Our team has lived the shopfloor: its constraints, pressure and practicalities.
Hardware, connectivity and applications engineered together, not stitched from vendors.
Expanding into quadruped and humanoid robotics for complex industrial challenges.
Representative results across typical APMS deployments: availability up, losses down, quality assured. Illustrative figures pending published customer data.
APMS connects hardware, software and AI under one roof, so every part of the plant runs on the same connected data.
Connect any make, age or protocol (CNC, PLC or sensor) with zero disruption. Live utilisation and OEE you can trust.
Deep-learning cameras inspect every part for defects and missing components in real time, with human-level accuracy, 24/7 and no sampling gaps.
Quadruped patrols and humanoid assistance take on surveillance, heavy lifting and hazardous, repetitive work, with 100% consistency.
An always-on analyst that watches every machine, explains the "why" in plain language, and flags at-risk jobs before they slip.
Hardware, connectivity, vision, robotics and AI from a single team, not stitched from vendors.
Measured in output, uptime and quality, not features or dashboards nobody opens.
Standard protocols and open APIs push live data into your ERP, MES and BI tools.
Six of these were already how we work. They are sorted by whose job it is to hold to them, and four more are written down alongside.
What gets built, and how
The machines you already own stay. We read them as they are, whatever the make, the age or the protocol, rather than making a capital request the first answer to every question.
Every figure traces back to the signal and the timestamp it came from. If a supervisor cannot check where it came from, the report gets argued with instead of acted on.
An alert shows what set it off and which reading crossed which limit. A score nobody can question is a score the floor learns to ignore.
Models that hit their confidence limit stop and ask a person. One flagged part costs a minute of attention. One wrong automatic decision can cost a shift of output.
After it is running
Your engineers get the drawings, the logic and the training to run it themselves. We would rather be called for the next problem than be a permanent dependency on this one.
Sensors, vision, robotics and software are built by the same people, so nothing falls into the gap between suppliers. When something does go wrong there is one number to call and no argument about whose fault it is.
Edge cases from your line are fed back and models are retrained, and agents are tuned against what actually happened rather than what the demo did. Accuracy is meant to compound after go-live, not decay.
Before anything is agreed
We start on a line you choose, measured against a number you set. If it will not hold up there it has no business being rolled out across the plant.
Working out whether this is the right answer is part of scoping, and telling you it is not is a possible outcome of it. Our engineers spent their careers inside plants, and it shows as much in what we tell you not to bother with as in what we build.
You describe the bottleneck in your own words. There is no template to fill in and no readiness questionnaire to pass before anyone will talk to you about it.
Engineers who spent their careers inside plants rather than around them. That shows in what gets built and in what we tell you not to bother with.
One. Sensors, vision, robotics and software are built by the same people, so nothing falls into the gap between suppliers and there is one number to call when something does go wrong.
Not by design. Your engineers get the drawings, the logic and the training to run it themselves. We would rather be called for the next problem than be a permanent dependency on this one.
We start on a line you pick, measured against a number you set. If it does not hold up there, it has no business being rolled out across the plant.
Talk to our engineers about your floor, your machines and your goals.