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Maintenance · sensors and artificial intelligence

Predictive maintenance with AI: fix it before it stops

Most stoppages give warning first: a motor running hot, a bearing that vibrates, power consumption creeping up. We measure those signals, analyse them with artificial intelligence and plan the intervention before the line stops.

Vibration and temperature sensor mounted on a motor, with a technician checking the data on a tablet

Predictive

From sensor data to work order

We install sensors where a breakdown hurts most, collect data from your machines and your production, and the AI looks for the patterns that signal a failure. The result isn't just another chart: it's a clear alert telling you what to check and when.

  • Temperature, vibration, power consumption sensors and more
  • Automatic AI analysis of sensors, stoppages and rejects
  • MTTR and MTBF measured, not estimated
  • Instant alerts to maintenance, with the reason
Vision camera with its lighting mounted above a production line

Service for our systems

What we install, we maintain

A vision or data system needs looking after like any other machine. We support every installation from commissioning and throughout its working life.

  • Commissioning and training for your team
  • Remote support for our systems
  • Regular review of thresholds and recipes: a vision system without maintenance ends up in bypass
  • Your machines' manuals and documentation searchable with AI

AI applied to maintenance

Less time spent standing at the machine

Artificial intelligence doesn't replace the technician: it gives them the information sooner and better organised.

Predictive

Warning before the breakdown

The AI learns how each machine works and raises an alert when something moves outside normal limits.

Assistant

An assistant that knows the manuals

It searches the manuals, catalogues and diagrams for your machines and drives, and guides the diagnosis step by step.

Data

Stoppages with a cause

When, how long and why the line stops, week by week, so you can tackle the costliest problems first.

OEE, downtime and waste →

Maintenance technician holding a spanner beside a packaging machine, with a brain that is half electronic circuit and half human

How we start

Step by step, with results from the outset

  • Visit and priorities: which machines stop most and what each stoppage costs.
  • Sensors and data: we install what's needed and connect what you already have.
  • Learning: the AI learns the normal behaviour of each piece of equipment.
  • Alerts and planning: alerts to maintenance and scheduling of interventions.
  • Continuous improvement: periodic review of what has been learned and of the results.

FAQ

What we're often asked

Does it work with machines of any make?

Yes. The sensors and the analysis are independent of the machine manufacturer.

Do I need to replace my machines?

No. We add sensors where needed and make use of the data your machines and your line already generate.

Who carries out the interventions?

Your own maintenance team, using the information from the system.

Can we start with a single machine?

Yes, and that's what we recommend: start with the one that stops most often, measure the result and expand from there.

Let's talk about your plant

Which machine stops most often?

Tell us where your time is going. We'll suggest where to start and how to measure the result.