Predict: Software for early AI fault detection

Don't be surprised by failures any longer: With our software, you can identify potential machine faults at an early stage. Completely without a complex IT project or sensor retrofitting.
Real-time monitoring including AI fault detection
Avoiding downtimes & reducing maintenance costs
Suitable for all types of machines & scalable at any time
Two engineers monitor a machine park.

Our product package "Predict" is the right choice if you...

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want to use sensor data for analyses without additional hardware (sensors)
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need to identify machine faults at an early stage in order to avoid failures
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want to increase your machine availability and save maintenance costs

Which machines & faults are suitable for monitoring?

Exemplary use cases:
Extrusion
Compactor
Packing machine & in-line coating machine
Milling, conveyor belt
Production line, agitator, continuous furnace
Exemplary machine faults:
Bearing & transmission damage
Wear, clogging, contamination
Pressure & temperature issues
Sensor misalignment
Production-related material removal

aiomatic ensures efficient and precise machine monitoring

Flexibly adjustable monitoring sensitivity
Depending on how you set the threshold and tolerance time for anomalies, critical patterns can be identified up to 4 weeks in advance.
Consideration of product recipe & context
When monitoring, our software takes actual operating conditions, such as product recipes, into account.
Based on real operation rather than predefined limits
Our software learns from the normal operating state of your machines instead of from labelled data and fixed standards.
Individually configurable notifications
You will receive automated notifications as soon as one of your machines behaves significantly unexpectedly.

All KPIs & anomalies on one dashboard

Anomaly summary & detailed root cause analysis
Digital shopfloor with all machine positions & KPIs
Flexible sensor groupings for targeted analysis
Digital logbook for machine events

That's how it works

Evaluation of the data basis:

Our potential analysis automatically checks whether your historical machine data is suitable and complete.

Fast implementation:

We receive your data securely via digital interfaces and support you with sensor retrofitting if required.

Realtime-Overview:

Visualize data in real time on our dashboard, which allows instant analysis and monitoring.

Smart maintenance:

If there are anomalies, you will automatically receive notifications to initiate proactive maintenance measures.

Continuous optimization of models:

Our algorithms are constantly evolving by learning from the collected data & your feedback.

Optional: Our solution with plug & play sensors from KSB

Together with our partner KSB, we offer you an all-round, worry-free package that covers the entire process: from sensor installation to continuous fault monitoring.
Ideal for rotating machinery from all industries

Non-binding test phase possible as a proof of concept

Instant data collection, scalability possible at any time
Illustration of aiomatic's software solution

Successful customer examples from industry

Large machine plant in the energy sector
Gas storage & compressor
Monitoring of the entire system, in particular the fast-rotating, sensitive turbines.
Illustration of a complex coating system
Inline coating machine
Monitoring of the pumps required for the water cycle in the coating plant.
Section of a machine for processing animal feed
Milling machines for animal feed
Monitoring of storage temperatures and drive performance for reliable & efficient production.
Conveyor belts in port operations
Conveyor belts in
Port Authority

Continuous monitoring of motors, gearboxes and bearing blocks to prevent bearing damage and belt ruptures at an early stage.
Manufacture of bicycles
Gearmotors in bicycle production
Condition monitoring of drives and gears to avoid downtimes in conveyor technology and production interruptions.
Crunchy plant in food production
Crunchy plant in food production
Monitoring of agitators, mixers and conveyors to ensure product quality and continuous production
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"Thanks to the early warning from aiomatic, we were able to detect a gearbox failure in time. As a result, we were able to maintain operations over the weekend with reduced output and prepare for the necessary repair, instead of being surprised by a sudden imminent failure."
Ben Thurnwald
Managing Director
Logo Canyon
"The future of maintenance is difficult when it comes to skilled labor. With the AI-based solution from aiomatic, however, this looks much brighter. The team can now focus on other activities, while monitoring and early warning alerts are provided by aiomatic."
Andreas Weber
Technical maintenance manager
“aiomatic is pioneering. For example, the application of AI to real-time data has already predicted imminent warehouse damage for one of our systems. As a result, we were able to act early and avoid an unplanned downtime of more than 8 hours. ”
Dirk Schlamann
Lead Maintenance
"The set-up with aiomatic was surprisingly straightforward. The seamless integration into existing workflows and the intuitive operation of the dashboard make the solution a real success that quickly delivers added value for our team."
Ben Thurnwald
Managing Director
“The aiomatic solution offers a fast and reliable way to achieve a zero-defect goal in the area of predictive maintenance compared to traditional methods.”
Christian Bittel
In-house consultant

Numerous customers benefit from AI-supported monitoring

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KSB logo
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Logo Canyon
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