Predict package: predictive maintenance with AI

The best predictive maintenance software to identify machine problems early on and prevent failures:

Real-time insights into machine conditions: AI health analytics and alerts

Optimize maintenance cycles, avoid failures & reduce maintenance costs

Ready for immediate use & scalable: No additional hardware

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When should you choose the Predict package?

You want to gain real-time insights into your machines' health

You want to detect potential faults at an early stage

You want to
optimize your processes & save maintenance costs

Your benefits at a glance

Easy & fast implementation: Seamless integration with existing IT systems

Early fault detection: Avoid breakdowns

Cost savings: Reduce maintenance costs & extend the life of your machines

High scalability: Algorithm can easily be extended to other machines

Features of our predictive maintenance software

Visualization of historical and real-time sensor data

With our dashboard, you can keep track of important machine KPIs such as vibration, temperature or speed.

Context-dependent precise machine monitoring

When monitoring, our software takes actual operating conditions, such as product recipes, into account.

AI-powered fault detection & forecasting

Our AI detects relevant discrepancies and alerts you to potential errors before problems arise.

Individually configurable alerts

You receive automated email alerts in real time as soon as a machine's health score drops.

How our software works

Which maintenance solution is the right choice for you?

Find out in just 2 minutes how well your company is already positioned -
and which solution perfectly fits your requirements.
Answer the questions now and take your maintenance to the next level.

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Which machines are suitable and what errors can our software detect?

Use cases:

Extrusion

Compactor

Packing machine & in-line coating machine

Milling, conveyor belt

Production line, agitator, continuous furnace

Typical mistakes

Bearing & transmission damage

Wear, clogging, contamination

Pressure & temperature issues

Misalignment sensor

Production-related material removal

Your dashboard within the Predict package

All features of the Monitor package

Model overview

Display of Health Scores

Konfiguration von Warnmeldungen

Download Use Case Portfolio

How it works:

Predictive maintenance system for your machines

Evaluation of the data basis:

Review of existing machine data for completeness and accuracy to ensure a solid basis for analysis

Fast implementation:

Integration of machine controls through digital interfaces such as OPC UA for quick and easy installation.

Realtime-Overview:

Visualization of data in real time on our dashboard, which allows instant analysis and monitoring

Smart maintenance:

Early fault detection using our AI software, which automatically sends alerts to initiate proactive maintenance measures.

Continuous optimization of models:

The AI-based software is constantly evolving by learning from the collected data.
The self-learning technology enables long-term optimization of the maintenance strategy.