Predictive Maintenance

Know a machine is failing months before it stops.

We continously monitor the earliest signals of wear like vibration, temperature, or noise with wireless sensors and AI trained on each asset. Catch a fault while you still have time to plan, not while the line is down.

Predictive Maintenance

Know a machine is failing months before it stops.

We continously monitor the earliest signals of wear like vibration, temperature, or noise with wireless sensors and AI trained on each asset. Catch a fault while you still have time to plan, not while the line is down.

Predictive Maintenance

Know a machine is failing months before it stops.

We continously monitor the earliest signals of wear like vibration, temperature, or noise with wireless sensors and AI trained on each asset. Catch a fault while you still have time to plan, not while the line is down.

THE PROBLEM

Most maintenance is still a race to put out fires.

Teams find out a machine was in trouble only once it has already stopped the line. The signals were there for weeks, but nobody was listening to the right ones, at the right moment.

Break-fix, after the fact

Unplanned failures stop production, scramble the crew, and turn into emergency parts orders and overtime. This is the most expensive way to maintain anything.

Break-fix, after the fact

Unplanned failures stop production, scramble the crew, and turn into emergency parts orders and overtime. This is the most expensive way to maintain anything.

Calendar-based guesswork

Servicing on a fixed schedule means replacing healthy parts too early — and still missing the failures that don't follow the calendar.

Calendar-based guesswork

Servicing on a fixed schedule means replacing healthy parts too early — and still missing the failures that don't follow the calendar.

Manual rounds miss the early signal

Periodic inspections rely on a human catching a momentary signal. Across a large plant, under changing production conditions, the subtle early warning slips through.

Manual rounds miss the early signal

Periodic inspections rely on a human catching a momentary signal. Across a large plant, under changing production conditions, the subtle early warning slips through.

WHY CATCHING IT EARLY CHANGES EVERYTHING

Every failure warns you first. The trick is continuously looking for the quietest signal.

As a machine degrades, it announces itself in stages. Vibration shifts months before anything is audible. By the time you can hear it, feel the heat, or see smoke, your options — and your lead time — have collapsed.

VersaSense lives in the green zone. Continuous monitoring of vibration and temperature behaviour flags the change in an asset's signature at the earliest stage. This gives your team weeks or months to schedule a fix on their terms, instead of reacting to a breakdown when it's too late.

HOW IT WORKS

Install. Diagnose. Report.

Award-winning intelligent IoT technology, built for the toughest challenges in manufacturing, combining true plug-and-play sensors with best-in-class wireless network technologies.

Enable predictive maintenance across your asset base in minutes, not months.

01

Install sensors

Mount plug-and-play vibration and temperature sensors on your assets. They self-organise into a robust wireless network and extract features right at the edge.

02

Monitor, predict, act

Set a training period and the platform learns each machine's normal. It then trends the data, detects anomalies, fires alerts, and generates the reports your team needs.

03

Diagnose & improved

Drill into detailed data to troubleshoot and plan tasks. Log activities and prevented faults, refine thresholds — and the predictions sharpen over time.

PROVEN ON THE FLOOR

Trusted in heavy manufacturing, food, and FMCG.

We are deployed on the asset base of Fortune-500 and multinational enterprise customers, often in some of the harshest production environments there are.

"Having 24/7 real-time insights on machine reliability in our plant has been a game-changer. Avoiding unplanned downtime saves us time and money."

Martin B.

Reliability leader

"VersaSense helped us cut through stovepiped tools from a legion of vendors. After install, we immediately saw how our equipment was really behaving."

Robin S.

Maintenance manager

Unilin Panels: predictive maintenance in chipboard industry

Machines continuously monitored

500+

Sensor measurements analysed per plant per year

120M

Unilin Panels: predictive maintenance in chipboard industry

Machines continuously monitored

500+

Sensor measurements analysed per plant per year

120M

GOT QUESTIONS? REQUEST A DEMO?

See your machine pool the way VersaSense sees it.

Tell us about your assets and we'll show you how quickly you could be predicting failures instead of reacting to them.

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© VersaSense 2026. All Rights Reserved.

© VersaSense 2026. All Rights Reserved.

© VersaSense 2026. All Rights Reserved.