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Maintenance software from aiomatic
The flood of data is growing and manual machine monitoring is reaching its limits. With aiomatic, you can record status data in real time and make well-founded maintenance decisions.
Reduce maintenance costs & extend machine service life
Relief & safety
Real-time insights without maintenance personnel ohne Wartungspersonal
Easy integration
Seamless integration into existing systems
Scalability
Algorithm can be extended to other machines
The challenges of manual monitoring
Companies face the challenge of extracting relevant information about the health of their systems from a vast amount of data. While conventional maintenance software focuses primarily on managing regular tasks, aiomatic provides you with automated Machine monitoring and AI-based fault detection decisive competitive advantages.
Classic software for maintenance vs. aiomatic
Classic systems such as CMMS (Computerized Maintenance Management Systems) or IPS (Maintenance Planning Systems) do valuable work: They record tasks, document processes and plan maintenance intervals. But these systems reach their limits when it comes to proactively analyzing and using large amounts of data for machine monitoring.
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
Configuration of notifications in case of anomalies
Shopfloor of all machines with operating status and positions
Document machine events in the logbook
Flexible creation & evaluation of sensor groups
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.
Categorical data: Intelligent monitoring with context
Modern machines work with variable operating modes — fixed setpoints are not enough. In order to capture the operating context, our software processes not only numerical sensor data but also categorical data such as recipes. Monitoring is becoming more precise as our software recognizes when a deviation is really critical. For example, it takes into account the different amperages required for a colour agitator and only alerts if these do not match the production mode.
Successful customer examples from industry
Gas storage & compressor
Monitoring of the entire system, in particular the fast-rotating, sensitive turbines.
Inline coating machine
Monitoring of the pumps required for the water cycle in the coating plant.
Milling machines for animal feed
Monitoring of storage temperatures and drive performance for reliable & efficient production.
Conveyor belts in Port Authority
Continuous monitoring of motors, gearboxes and bearing blocks to prevent bearing damage and belt ruptures at an early stage.
Gearmotors in bicycle production
Condition monitoring of drives and gears to avoid downtimes in conveyor technology and production interruptions.
Crunchy plant in food production
Monitoring of agitators, mixers and conveyors to ensure product quality and continuous production
"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
"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
aiomatic is already monitoring > 1,000 machines
Numerous customers benefit from AI-supported monitoring
Support
Frequently asked questions
Here you can find answers to the most common questions about our maintenance software.
Which machines is aiomatic maintenance software suitable for?
The aiomatic software is suitable for all machines that have mechanical motors or where rotations occur and whose monitoring uses sensors to produce large amounts of data. For example, aiomatic works with machines from the automotive sector, shipping and manufacturing.
Which target groups is the maintenance software aimed at?
aiomatic's software is suitable for all companies that have an interest in preventing unplanned machine downtimes. The software is particularly interesting for companies where outages lead to major cost and productivity losses. The primary target groups are machine manufacturers and production companies that use machines with complex systems which produce large amounts of data and whose regular operation is continuous over longer periods of time.
Which sensors should already be available?
There should be sensors that produce large amounts of data and can provide information about the problems that occur with the machine. In mechanical systems, these are usually vibration sensors. The more context information is available, the better the software can work. The more sensors and data, the better. If your machine does not have enough sensors, we will be happy to advise you on the retrofit.
Does aiomatic's maintenance software require historical data?
There is no need for historical data to get started. Our software learns the normal state of your machines from day 1 of the data connection.
Which interfaces is the maintenance software compatible with?
Our cloud solution offers easy integration: It can be seamlessly connected to existing digital interfaces (e.g. OPC UA or MQTT) without additional hardware and enables access to real-time data across locations. Without complex IT projects or hardware investments, you can get started right away — securely, scalable and future-proof.
Feel free to contact us if you have any further questions!
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