Use Cases and Business Value of our software

Our software is the ideal solution for transparently monitoring complex, highly digitalized machinery — across industries and in a wide range of use cases. It integrates seamlessly into your existing IT infrastructure and can be scaled with ease. Discover successful customer projects here.
Industries for Predictive Maintenance

Factors for successful implementation of our software

Icon added value
Clear use case with
relevant added value
We are happy to support
you in selecting the
right use case.
Icon sensor
Access to machine data
(Retrofit possible)
Relevant data is digitally available or can be captured with our support using appropriate sensor technology.
Icon machine availability
Reliable and secure
data provision
Machine data is integrated into the aiomatic software via suitable interfaces or data connections.

Business value from one detected anomaly

Logo Hansaport
Icon production downtime
Production downtime
16 hrs of prevented downtime
Downtime costs: €850 / hr
Continued operation at 50 %
Savings
from €6,800
Icon repair costs
Repair costs
4 hours shorter repair time
4 maintenance technicians for  €75 / hr each
Savings
from €1,200
Icon material costs
Material costs
Total cost for component failure: €14,300
50% detection rate without AI
Savings
from €7,150
Total savings of €15,150
Ben Thurnwald
"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
HANSAPORT Hafenbetriebsgesellschaft mbH

Further customer success stories

Monitoring gearmotors at Canyon Bicycles
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.
Our solution
Thanks to an edge device with an LTE connection, independent of Canyon IT, our software monitors and analyses high-frequency vibration and operating data around the clock in order to identify deviations at an early stage.
Benefits at Canyon
Canyon saves costs through the targeted use of spare parts, avoids failures thanks to error forecasts, relieves personnel resources and increases the efficiency of production lines.
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
Canyon Bicycles GmbH
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
Nitto
Monitoring of gravure presses at Nitto
Herausforderung & Ziel
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.
Unsere Lösung
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.
Benefits für 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.

How do companies benefit from predictive maintenance?

Using specific customer examples, our use case portfolio shows you how predictive maintenance makes the industry more successful, efficient and future-proof.
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PDF preview of machine types and error types

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
Lena Weirauch
“AI is undoubtedly a decisive factor in ensuring competitiveness —
particularly in industrial maintenance, where it can optimize processes and minimize downtime.”
Lena Weirauch
CEO & Mitgründerin von aiomatic

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 is a good fit for your project and maintenance strategy if you are looking for a solution that continuously analyzes machine data and detects anomalies in real time. Our software focuses on analyzing and identifying deviations, but does not optimize production parameters, automatically order spare parts, or create maintenance schedules.

Which sensors should my machine be equipped with?

Your machine should already be equipped with sensors that measure key process variables such as temperature, pressure, or flow rate. For motors, data on power, speed, and vibration are also helpful.
If the necessary sensor technology is not yet in place, we are happy to assist you, for example in collaboration with our partner KSB. With our retrofit solution, we create the ideal data foundation for predictive maintenance: from retrofitting relevant sensors to the intelligent analysis of your machine data.

How much data expertise is required on the company side?

With our solution, you get straightforward, ready-to-use AI software for machine data analysis. However, your process and machine experts, maintenance staff, and development engineers remain essential to the success of the project.

Does my machine data already need to be recorded digitally

The machines should have a medium to high level of digitalization, so that condition data is already recorded digitally. Ideally, this is done at regular, fixed intervals. For event-based data collection, a clearly defined rhythm is also required — for example, hourly.