Engineer looks at the aiomatic dashboard.

Predict your machines' health with one software

Are your machines & production processes ready for the future?

Manual machine monitoring: Inefficient, risky, expensive
Decentralized data collection and delayed analyses often result in problems being identified too late. Unplanned downtime is now costing the 500 largest companies in the world 11% of their turnover (Siemens 2024).
Monitoring with aiomatic: simple, precise, efficient
Our software displays your machine data in a live dashboard. Thanks to our AI-based analysis, you can identify errors early, prevent failures & optimize machine performance.

aiomatic is already monitoring more than 1,000 machines

Logo Brüggen
Logo EWE
Logo Sefe
Logo Hansaport
Logo Petcom
Logo Nitto
Logo KSB
Logo Innomotics

Potential analysis: Is your machine data suitable?

Missing or inaccurate measurement series lead to errors. That is why we automatically check your data for quality before the start of the project and thus avoid prediction errors.
Upload of machine data
Examples of challenges:
Constant measurement values despite dynamic processes
Incomplete or incorrect records
Too low data resolution for valid analyses
Benefits of our analysis:
High model quality through early detection of deficient data
User-oriented data analysis - expectation vs. reality
Uncover data-independent technical errors
More than 100 companies are already checking their data with us

For which target groups is our software suitable?

Regardless of whether you build or operate machines — our software adapts to your needs. We have extensive experience with digitization projects in the pharmaceutical, energy, food, manufacturing, automotive and mechanical engineering industries.
Efficient monitoring of a machine.

Medium-sized manufacturing companies

Do you want to use your machines more efficiently without starting a major IT project right away? We will guide you step by step and start where your company is today. With clear instructions, structured onboarding and regular exchange, the implementation can be planned rather than complicated.
Complex machine from the automotive industry.

Large-scale industrial companies

Monitoring your machinery is complex and failures can cause major losses? Our software protects your critical operations. With state-of-the-art encryption and GDPR-compliant architecture, we ensure the highest level of cyber security - without turning your infrastructure upside down.
Complex machine being monitored.

Machine manufacturers from all industries

With our software, you can offer your customers greater reliability and predictable maintenance. This increases customer satisfaction and lowers warranty costs. At the same time, you increase your after-sales turnover by offering spare parts and services exactly when they are needed.
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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

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

Project Process: As simple as possible

Increasing efficiency in three steps: Together, we analyse your requirements, select a suitable solution package and seamlessly integrate our software into your processes. Transparent milestones and our experienced team will guide you on your way to success.
Technical employee standing next to a machine.
Data transfer through standardized interfaces

Safely implemented & ready for immediate use

Thanks to standardized interfaces such as OPC UA, you can easily connect our software to your machines and IT systems — without complex IT projects or expensive hardware investments. Of course, your data is in safe hands with us: It is stored in the ISO/IEC 27001-certified Microsoft Azure cloud and managed in accordance with the GDPR and EU AI regulation.

What are the prerequisites for you to benefit most from our solution?

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High level of digitization of your machines as well as a secure and scalable data infrastructure.
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Reliable sensor data that allows conclusions to be drawn about the status of the systems.
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Machine data is digitally recorded periodically or on an event-driven basis at least once an hour.
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