Predict package: Predictive Maintenance with AI

Take advantage of artificial intelligence to prevent machine downtime with our Predict package. Our AI-based Predictive Maintenance software continuously analyzes sensor data, detects anomalies in real time and helps you to identify potential errors at an early stage to fix them in a targeted manner — before failures occur.
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When should you choose the Predict package?

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You want to gain real-time insights into your machines' health
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You want to detect potential faults at an early stage
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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 that revolutionize your machine monitoring

Scope of functions

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.

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

Use cases:
Extrusion
Compactor
Verpackungsmaschine & Inline- Beschichtungsanlage
Vermahlung, Förderband
Produktionsstraße, Rührwerk, Durchlaufofen
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
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Here's how it works:

Predict package: Predictive Maintenance with AI

Evaluation of the data basis:

Review of existing machine data for completeness and accuracy to ensure a solid basis for analysis
(Retrofitting of sensors if necessary).

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.
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