Industrial equipment monitoring

Optimize your industrial performance with reliable field visibility.

Industry still lacks reliable, usable operatinal data

In the majority of industrial SMEs and ETIs, there is a lack of operational data for effective production management. And maintenance, methods and production managers know it: it’s difficult to act without visibility.

PLCs return only the data needed to control the process, and SCADA systems are rarely configured to display the finest signals.

However, the performance of a production line is often determined by weak signals: machine drift, consumption anomalies, extended cycle times, etc.

No real-time visibility of workshop equipment

No warning of progressive machine drift

Power consumption data not available

Difficult diagnosis in the event of breakdowns or microstops

Decisions made without reliable, ongoing data

des sites industriels seulement disposent d’une visibilité en temps réel sur l’ensemble de leurs processus de fabrication. (USA)

0 %

of industries still manage data manually, despite the increase in data collection. (USA)

0 %

of industrial sites have succeeded in industrializing a data strategy beyond a single product. (Large groups, worldwide)

0 %

What are the risks to your plant's operations?

On the shop floor, every machine, every cycle, every signal counts. But without accurate data and reliable field-level feedback, it becomes impossible to detect anomalies in time.

And the consequences accumulate: breakdowns, waste, downtime… invisible but very real.

Reactive maintenance only

Without a weak signal, it’s impossible to anticipate: you wait for the breakdown before taking action.

Underestimated downtime

Microstops are neither reported nor measured, even though they affect real productivity.

Energy overconsumption

An incorrectly set, underloaded or drifting machine can consume 15-30% more without warning.

Downgraded productivity

Degraded cycles go unnoticed without operational measurements.

No continuous improvement

Without operational measurements, methods or lean teams lack the information they need to take effective action.

Premature wear of equipment

Without detection of mechanical or electrical drift, your assets deteriorate faster and cost more to maintain.

A simple solution for monitoring your equipment

AIoTrust enables you to monitor your equipment in real time, thanks to a non-intrusive system that captures raw machine data (orders, cycles, consumption, etc.) without modifying your installations.

In just a few minutes, you have access to useful, accurate data that can be used in your existing tools.

AIoTrust solution essentials

Plug & Play without intrusion

Raw machine data feedback (control, measurement, etc.)

Alert configuration

Data processing in your own tools (Excel, CMMS, etc.)

Local, real-time detection of anomalies and slow drifts

Compatible with your existing systems (SCADA, PLC, MES, etc.)

Concrete benefits for your industrial performance

Industry 4.0 for performance and responsiveness with simplicity

Real-time visibility of your assets

You have access to raw control, cycle and consumption data, without having to rely on SCADA or the PLC: a real, usable view of your infrastructure.

Anticipation of drifts and breakdowns

You enter into a logic of predictive maintenance, to intervene at the right moment, before a breakdown occurs.

Accelerated continuous improvement

Your methods, production and maintenance teams have reliable data with which to manage their actions. Lean becomes measurable.

Cyber-resilience

The same modules enable you to detect a cyber attack on your industrial equipment.

A certified solution

A strong commitment

Why choose AIoTrust?

Experts committed to simple, reliable, field-compatible industrial cybersecurity.

A team of experts

An invested ecosystem

They trust us

Leading manufacturers, laboratories and technology partners are already using our solutions to strengthen their OT cybersecurity and monitor their equipment.

AIotrust’s technology allows us to easily access raw data and detect anomalies on our CHESS research platform.

Gilles DESOBLIN, Director of Strategy and Programs