Industrial monitoring: monitor and optimize the performance of your equipment

Monitor the actual behavior of your industrial equipment with real-time, actionable field data to detect drifts, anticipate breakdowns and optimize performance.

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.

The Cybervigile solution fits in perfectly with our pragmatic approach to cybersecurity at the very heart of industrial processes. It enables us to diagnose rapidly systems affected by a breakdown or an attack.

Pierre-Emmanuel VINCENT, CEO

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

Do you need visibility over your industrial equipment?

Let's talk about your challenges in the field and identify together the signals to watch out for in your IoT environment.

Read our latest news and blog posts

OT cybersecurity and digital transformation: expertise, trends and news from the field.

FAQ

What is industrial monitoring?

Industrial monitoring enables real-time monitoring of production equipment to optimize performance, reliability and availability.

In an Industry 4.0 context, industrial equipment is increasingly connected, but the data often remains incomplete, difficult to exploit or insufficiently representative of actual machine behavior.

Industrial monitoring provides more reliable field visibility to detect drifts, anticipate breakdowns and improve operational performance.

What is the purpose of industrial monitoring?

Industrial monitoring consists of collecting, analyzing and exploiting data from production equipment, in order to monitor its condition and performance on an ongoing basis.

It can include :

machine cycle monitoring,
measuring energy consumption,
detection of anomalies or deviations,
production and downtime analysis.

The aim is to provide a reliable, real-time view of industrial activity to facilitate decision-making and improve operational performance.

What's the difference between industrial monitoring and SCADA?

SCADA is used to supervise and control installations via PLCs, while industrial monitoring can provide a complementary vision based on independent data, notably taken directly from the equipment itself.

This approach makes it easier to detect certain anomalies, drifts or inconsistencies that are not always visible in traditional supervision systems.

Why implement industrial monitoring?

Industrial monitoring enables :

improve equipment visibility,
anticipate breakdowns,
reduce production downtime,
optimize plant availability and performance,
detect certain anomalies or deviations more quickly.

Better visibility in the field also enables us to identify loss of performance or unusual behavior that is often difficult to detect with conventional tools.

How does an industrial monitoring system work?

An industrial monitoring system collects data from machines (sensors, signals, cycles or consumption), then analyzes them to monitor equipment performance and detect any anomalies.

Some solutions rely directly on physical equipment signals to obtain data that is more representative of actual machine behavior.

What are the limitations of traditional monitoring solutions?

Conventional solutions often rely on data from PLCs, SCADA systems or the industrial network.

This approach can limit visibility of actual equipment behavior and prevent the detection of certain anomalies, drifts or operational inconsistencies.

When data feedback is incomplete, filtered or altered, certain failures or performance losses can go unnoticed.

What industrial equipment can be monitored?

Industrial monitoring solutions can be used on a wide range of equipment:

motors,
pumps,
conveyors,
compressors,
industrial robots,
HVAC systems,
production lines,
energy equipment or critical infrastructures.

The aim is to continuously monitor the actual operation of equipment in order to improve performance, maintenance and operational availability.