Success factors & Use Cases of our software

Our software is the ideal solution for transparently monitoring complex machines with a high level of digitalization - cross-industry and versatile. It integrates seamlessly into your existing IT infrastructure and is easily scalable. Discover successful customer projects here.
Get use case portfolio
Complex machines are transparently monitored

Which requirements will allow you to benefit most from our software?

Icon high digitalization

High level of digitization of your machines as well as a secure and scalable data infrastructure

Icon for Sensor Data

Reliable sensor data that allows conclusions to be drawn about the status of the systems

Icon magnifying glass

Machine data is digitally recorded periodically or event-based at least once an hour

Get individual advice for free
The biggest potential for you
‍

Success factors for a Predictive Maintenance project with aiomatic

Our Predictive Maintenance software helps you optimize your machine performance and maintenance cycles. For maximum added project value, we recommend these basics:
Your machines generate 5 - 200 data channels each
that we should digitally monitor for you
You can provide us with your machine data via digital interfaces such as OPC UA
You have an in-house process/machine expert as well as
Maintenance personnel and development engineers available

Customer success stories

Monitoring gearmotors at Canyon Bicycles

1

Challenge & goal

Canyon is looking for an innovative solution for monitoring critical gearmotors in order to avoid failures due to undetected errors and to relieve the maintenance team through automated processes.
2

Our solution

Thanks to an edge device with LTE connection, independent from Canyons IT, our software monitors and analyzes high-frequency vibration and operating data around the clock to detect deviations at an early stage.
3
Benefits for Canyon​
Canyon saves costs through the targeted use of spare parts, avoids downtimes thanks to fault predictions, relieves personnel resources and thus increases the efficiency of production lines.
Monitoring of gear motors by an engineer
"The future of maintenance is difficult when it comes to skilled labor. With the AI-based solution from aiomatic, however, this looks much better again. The team can now focus on other activities, while monitoring and early warning alerts are provided by aiomatic."
Andreas Weber
Technical maintenance manager at Canyon

Customer success stories

Monitoring of gravure presses at Nitto

1

Challenge & goal

Nitto's printing press combines complex processes such as wrapping, printing, embossing and winding in one unit. A failure of individual components can shut down the entire production process. The aim is to prevent such failures through early fault detection.
2

Our solution

Our software integrates data from the rotogravure press's PLC, which records not only operating data but also temperature and vibration values. The analysis of 190 data channels shows that orbital speed has a decisive influence. With this knowledge, our maintenance assistant reliably detects deviations, even when operating parameters fluctuate.
3

Benefits for Nitto​

Our software continuously monitors the condition of the machine and detects problems at an early stage. For example, our software has already identified a bearing defect and a leak in the silicone hose and repaired them in good time.
Monitoring of a flexographic printing press
“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 at Nitto

More reference projects

Large industrial machine in the energy sector
Gas storage & compressor
Monitoring of the entire system, in particular the fast-rotating, sensitive turbines.
Section of a machine for processing animal feed
Milling machines for animal feed
Monitoring of storage temperatures and drive performance for reliable & efficient production.
Illustration of a complex coating system
Inline coating machine
Monitoring of the pumps required for the water cycle in the coating plant.
Download Use Case Portfolio
Lena looking serious

“AI is undoubtedly a decisive factor in ensuring competitiveness — particularly in industrial maintenance, where it can optimize processes and minimize downtime.”

Lena Weirauch, CEO & Co-Founder of aiomatic
Photo: Henning von Holdt

Support

Frequently asked questions

Here you will find answers to the most frequently asked questions about the requirements for using our software and previous use cases.

When is aiomatic software the right choice for my maintenance strategy?

aiomatic's AI software fits your project and maintenance strategy if you're looking for a solution that continuously analyses machine data and detects anomalies in real time. Our software focuses on analyzing and identifying deviations, but without optimizing production parameters, automated spare parts orders, or creating maintenance plans.
Which sensors should my machine have?
Your machine should already have sensors that measure key process variables such as temperature, pressure, or flow. Sensors for power, target speed and vibrations are essential for motors. If a retrofit is required, we will be happy to advise you and provide you with support from our experienced partners.
How much data expertise is required on the company side?
With our solution, you get uncomplicated, ready-to-use AI software for machine data analysis. However, your process and machine experts, maintenance personnel and development engineers are still essential for project success.
Does the data from my machines already have to be digitally recorded?
The machines should have a medium to high degree of digitization so that status data is already recorded digitally. It is best to do this at regular, fixed intervals. Event-based data collection also requires a clearly defined rhythm (e.g. hourly).
Photo of an employee at aiomatic

Any further questions?

Our expert Kim Barthel is happy to advise you!
Individual advice
Softwares
Maintenance software
Condition Monitoring
Predictive Maintenance
Implementation
Use Cases
Solutions
SaaS model
Proof of Concept
Workshop
Historical data analysis
Prices
Company
Career
Magazine
News & press
FAQ
Contact
Legal
Terms and conditions
Data protection
Imprint
© 2025 Copyright ai-omatic solutions GmbH