Vibration & Acoustic Intelligence
Catches mechanical wear, imbalance and bearing damage early, often weeks before they stop the line.
AMR is a sensor puck that listens to your machines and tells your plant manager what to repair, before it stops the line.
Drag to turn the puck
Every plant manager knows the call: a machine is down, the shift is waiting, and nobody saw it coming. But the machine had been telling you for weeks, in vibration, in heat and in sound. Nobody was listening.

Four things that turn a surprise stop into a planned repair.
Catches mechanical wear, imbalance and bearing damage early, often weeks before they stop the line.
Detects friction overheating without complex wiring or manual checks.
A high-strength magnet holds the puck on the machine. No wiring, no screws and no installation downtime.
The puck analyses raw vibration, sound and heat signals on the device. The AMR platform turns the results into plain-language alerts for your maintenance team.
What your team sees after they sign in. All figures are sample data.
Every machine, ordered by risk, so you know which one to look at first.
Ask in plain words. Get the likely cause, the reading behind it and the next step.
Hours lost, money at risk and money saved, per machine, every week.
Every alert comes with repair steps your technician can print or send.
Sample data
A magnet holds the puck to the machine. No wiring, no stopped line.
For a few days it records what normal looks like for this machine, not for a textbook.
When vibration, heat or sound drift away from normal, you get a plain-language alert.
Repair steps and a work order arrive with the alert. The stop is planned, not a surprise.
Estimated savings per year
0€
Machines × stopped hours × cost per hour × 20%. We assume you avoid one stop in five, well below the published research. An estimate, not a promise.



These are published industry figures, not AMR results. Averages are not promises.
Up to 70–75%
fewer breakdowns in the best predictive maintenance programmes, compared with run-to-failure maintenance.
This is a best case from an older US government guide. Typical results are lower: McKinsey reports 30–50% less machine downtime.
Sound and vibration show wear and imbalance early.
Surface heat confirms friction and overheating.
The platform explains the likely cause and produces a work order, so a sudden failure becomes a planned repair.
11%
Unplanned downtime costs the 500 largest companies $1.4 trillion a year, about 11% of revenue.
Siemens 2024The True Cost of Downtime
$125,000
One hour of unplanned downtime costs $125,000 on average.
ABB 2023Unplanned downtime survey
5–15%
Facility downtime falls 5–15% and labour productivity rises 5–20%.
Deloitte 2022Predictive maintenance perspective
30–50%
Predictive maintenance typically cuts machine downtime 30–50% and extends machine life 20–40%.
McKinsey 2017Analytics in manufacturing
We put a puck on the machine that worries you most. After 60 days you get a report, in euros, of what it found and what an avoided stop is worth to you, so the savings are measured on your own plant.