Client cases
What we built for others
Real machines, real data, running in production.
Remote monitoring Mobile security units, tracked live nationwide
Thousands of mobile units on construction sites across Europe status, location and health live in one dashboard, with over-the-air updates for the entire fleet.
Remote testing Fire sprinkler valves, tested remotely
Sprinkler valves tested and verified remotely instead of on site rounds. Every test logged automatically with time, result and valve status full compliance history at the press of a button.
Pressure monitoring and control Pressure monitored and logged
A custom monitoring device that measures and logs pressure continuously. Deviations trigger an alert before they become a problem with a complete measurement history for analysis and reporting.
Recipe digitalisation Recipes from legacy Siemens PLCs, digitally secured
Recipes that only existed on paper and inside ageing Siemens PLCs, now digitally backed up and versioned. Every setpoint change is logged: who, what, when, and what it did to production. Reverting takes one click.
Inline quality inspection Every stroopwafel measured by a 3D laser camera
A 3D laser camera measures every stroopwafel on the line: diameter, thickness and shape. Deviations show up while the batch is still running, not at the sample check afterwards. All quality data logged per line and per batch.
Traceability Production data and traceability, from line to IT
Machine data and end-of-line test results securely unlocked into the IT landscape: segmented network, one central data layer, every product digitally traceable. Automotive requirements as the design principle.
Energy monitoring Energy data that writes its own audit report
Sub-metering on the main consumers, one dashboard with kWh per line and per batch, and audit-ready ISO 50001 and CSRD reports generated from live data instead of a yearly spreadsheet scramble. The auditor's letter stopped being a fire drill.
AI label inspection Every label and expiry date checked by AI vision
A vision system checks every package on the line: is this the right label for this order, and is the expiration date present, correct and legible? Mismatches are caught before products leave the line, every check logged per batch.
Track & trace Track and trace from product to box, pallet and order
Every product scanned and linked through the whole chain: product to box, box to pallet, pallet to order. Orders, batches and SKUs tracked live during production no product leaves the line without a verified place in the hierarchy.
Predictive maintenance Failures flagged weeks before the breakdown
Vibration, temperature and current from three critical machines feed an anomaly model that flags deviations weeks before failure. Maintenance planned around production instead of around breakdowns starting with the assets that hurt most, not a full-plant rollout.
Downtime tracking Every stop on the line, counted and classified
Every stop is captured automatically from the PLC and classified: changeover, jam, starvation, microstop. A live Pareto shows where the shift actually went, so improvement starts at the biggest eater of capacity instead of a gut feeling.
AI vision classification Meat products classified by AI vision
An AI vision model classifies every meat product on the line by type and appearance. Wrong or deviating products are flagged the moment they pass the camera, before they reach packaging every classification logged.
Peak shaving Staying under the grid limit without stopping production
Live load monitoring across the site, with automations that shift and shed non-critical consumers before the peak hits the contracted limit. No heavier grid connection the one the grid operator wouldn't grant anyway but production planned around the power that is there.
Quality early warning Scrap predicted before it comes off the line
Process parameters temperatures, pressures, cycle times feed a model that flags drift towards rejects while parts are still in the machine. Operators correct course instead of sorting scrap afterwards, and every intervention is logged against the batch.
Knowledge capture Thirty years of troubleshooting knowledge, made searchable
An AI copilot trained on years of alarm logs, repair notes and manuals answers troubleshooting questions the way the veteran technician would: machine, symptom, fix. The knowledge stays when the person who carried it retires.
Which asset do you want to make visible first?
Book a call with an engineer. We'll think along on hardware, connectivity and approach and tell you honestly if a simpler solution will do.