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Machine Condition Monitoring Software

Condition monitoring of machines with AI fault detection

No more surprises in production. Receive immediate notifications when your machines behave abnormal and avoid unplanned downtimes.
Automated condition monitoring & fault detection
Available as a plug and play solution with KSB sensors
No complex IT project, scalable at any time
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Zugriff auf Live Daten per Maschinenüberwachung
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Full transparency of your sensor and operating data
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Up to 50% repair
savings
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Easy integration for all types of machines
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Scalable for the entire shop floor

aiomatic monitors more than 1,000 machines

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Machines send warning signals before they fail. You just have to recognize them.

Our white paper reveals the most common machine faults — and which parameters to monitor to prevent unplanned downtime.
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PDF Vorschau zu Maschinentypen und Fehlerarten

What data can our condition based monitoring system capture?

Operating data such as running times, production cycles, energy consumption
Sensor data from the machines such as temperature, vibration & speed
Environmental conditions & error logs (e.g. warning messages)
Software erfasst und visualisiert Daten.
Illustration of aiomatic's software solution

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

Quick plug & play: Attach sensors & receive data

Highly scalable system, regardless of machine manufacturer

Success stories: Our machine condition monitoring software in use

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 operation
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 interruptions in
production.
Crunchy plant in food production
Crunchy plant in food production
Monitoring of agitators, mixers and conveyors to ensure product quality and continuous production.
Discover success stories
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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
PDF preview of machine types and error types

How do companies benefit from condition monitpring with aiomatic?

Using specific customer examples, our use case portfolio shows you how AI-supported condition monitpring makes the industry more successful, efficient and future-proof.
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Request a quote to monitor the condition of your machines

Fill out the form with the most important information about your machines. Your data is securely transmitted to us. Our team will then send you an individual offer tailored to your requirements.
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