Control
“I learn about a failure after the fact — from a night-time call”
Online condition monitoring shows a defect weeks and months before failure — with remaining life visible per asset node. An emergency becomes a planned replacement.
Control
“How much the enterprise is earning right now — I learn from a report. And wait”
Real-time asset economics: what it produces and earns right now, downtime priced in money, not hours. On your phone, with no requests and no waiting.
Control
“Every report is someone’s interpretation”
The owner, the CFO and the chief engineer look at the same sensor data — just through different screens. One system, one truth, no retold reports.
Control
“Several sites — and where we lose most is an open question”
A portfolio screen: all sites ranked by losses in money, not alphabetically. From the asset map to a specific node and its forecast — in two clicks.
Money
“Spare-parts stock freezes cash — yet the part we need is missing”
Per-node remaining-life forecasts turn spares purchasing from “just in case” into “by replacement date”. The warehouse holds what will actually be needed — and when it is needed.
Money
“We repair on schedule: replacing the healthy, missing the dying”
Condition-based maintenance instead of the calendar: work is scheduled by actual wear. Across our deployments — up to 40–60 % fewer unplanned repairs.
Money
“The power bill keeps growing — where it goes is unclear”
A worn drive overconsumes long before it fails. Motor current diagnostics shows which motors burn the excess — savings verified by the meter.
Money
“The effect is clear, but there is no CAPEX in the budget”
Monitoring as a Service (MaaS): a monthly fee out of operating expenses, no equipment purchase. Start with a pilot on one area — the effect is measured before scaling.
People & fleet
“We have no vibration analysts — who will work with this?”
The system outputs a diagnosis and a work priority, not spectra — a clear work order for the mechanic. Our diagnostic engineers handle the complex cases and train your team.
People & fleet
“Our equipment is old — digitalisation is not for us”
Retrofit with no intrusion into the machine: strap-on sensors and current clamps give status, load and wear even for 1980s-era machines. Monitoring does not require replacing the fleet.
Growth
“Yield and quality swing from shift to shift”
Process stabilisation and optimisation: an APC advisor on top of your existing control system steers the process closer to optimum. More product from the same iron; the operator stays in the loop.
Growth
“Everyone talks about AI — but our data cannot leave for a third-party cloud”
AI models run on your site: local deployment, data never leaves the enterprise perimeter, decisions are confirmed by a human.