AI-Powered Machine Monitoring: Detect Anomalies Early

Automate your machine monitoring with AI. aiomatic continuously analyzes machine data, detects deviations from normal operating behavior, and identifies potential machine faults early on. This allows you to respond to critical changes before they lead to unplanned downtime.
Automated ai machine monitoring
AI-powered anomaly detection
Early prevention of downtime
Access to live data via machine monitoring
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Anomalies are detected automatically
Real-time notifications
in the dashboard and
via email
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Early error detection
With the help of AI, potential downtime is identified earlier and can be prevented.
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AI-powered machine data analysis
Focus on the key data points that require action.
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Easy
integration
The aiomatic cloud solution integrates seamlessly into existing IT systems

Why automated machine monitoring?

In modern production facilities, even minor changes in a machine's operating behavior can indicate an impending fault. When monitoring is done manually, such changes are difficult to detect and evaluate in time. AI-supported machine monitoring helps maintenance teams continuously analyze machine conditions. The AI detects deviations from normal operating behavior and makes unusual trends visible at an early stage.
Modern machinery monitored with maintenance software

Automatically analyze machine data

Capturing machine data is only the first step. The real key is to automatically detect and correctly interpret relevant changes. aiomatic continuously analyzes available machine and system data, helping you identify unusual operating states at an early stage.

Instead of manually evaluating vast amounts of data, the AI takes over continuous analysis and highlights relevant deviations.

Benefits of automated monitoring

Our software enables live monitoring all of your machines and shows at a glance which machines are sending data — and which are not. Thanks to our dashboard, you can access all relevant information at any time without switching between systems. Our intuitive dashboard ensures maximum transparency — without complicated processes.
No more time-consuming, manual data collection
Quick response options by identifying data gaps
Reduction of personnel labour costs
Increasing efficiency through visibility of optimization potential
Modern machinery monitored with maintenance software

Anomaly detection: Automatically identify deviations

Not every change in machine operation immediately leads to a fault. The key is to detect unusual developments early on. aiomatic's AI-powered anomaly detection analyzes the operating behavior of your machines and identifies unwanted deviations from the expected norm.
This allows potential problems to be detected before they escalate into machine failures or unplanned downtime.

At a glance: How AI-powered machine monitoring works with aiomatic

Together we define the relevant parameters to be monitored and adapt the display to your individual requirements. After implementation, you will have direct access to live data from your machinery so that you can view the current status at any time and make well-founded decisions.
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Connect your machines with our software

Easily integrate existing sensors and systems with guidance from aiomatic

Collection of data from existing sensors

Once implemented, machine data is captured in real time from day one

Detect anomalies

Deviations from normal operating behavior are automatically detected and visualized

Act preventively

Anomalies can be investigated and appropriate maintenance measures initiated

Successful customer examples from industry

Bicycle manufacturing
Assembly lines in
bicycle manufacturing
Pet food grinding machine
Grinding & extrusion
of animal feed
Conveyor belts in port operations
Conveyor belts in
port operations
Reciprocating gas compressor
Reciprocating
gas compressor
machine in food production
Mixing, roasting & cooling machine for cereals
gravure printing press
Gravure printing press for package printing
Bottling plant in the beverage industry
Beverage
bottling plant
pumps in heat and power plant
Pumps of a combined
heat and power plant

How to get the most out of our predictive maintenance software

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High level of machine digitalization as well as a secure and scalable data infrastructure
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Reliable sensor data that allows for conclusions to be drawn about the condition of the equipment
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Machine data is captured digitally on a periodic or event-driven basis at least once an hour
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