Maintenance software: smart maintenance with AI

To remain competitive, your maintenance software must go far beyond traditional maintenance tools. While conventional systems are mainly focused on managing regular tasks, aiomatic relies on early fault detection with the help of artificial intelligence. Our software helps you to prevent machine failures and reduce maintenance costs.
Comprehensive insights into machine states
Detect and fix machine faults early
Avoid failures & save maintenance costs
Dashboard of the aiomatic maintenance software
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Cost savings

Reduce maintenance costs & extend machine service life
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Relief & safety

Real-time insights without maintenance personnel
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Easy integration

Seamless integration into existing systems
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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.
Woman evaluates machine condition
Maintenance personnel exchange information on machine status

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.

How does the aiomatic software work?

Diagram of the description of our softwareDashboard mockup

What options does our software offer?

Machine monitoring: Your entry into proactive maintenance

Reliable display of machine activity
Monitoring of machines & individual components
Easy tracking & assistance for internal reports
Machine monitoring
Experte überwacht Maschinenzustand auf aiomatic Dashboard
Maintenance personnel receive an overview of the machine's condition

Condition Monitoring: The door opener for later analyses

Visualize your machinery on a dashboard
Automated Condition Monitoring of all critical components
Data insights to optimize machine performance
Condition Monitoring

Condition monitoring: The door opener for later analyses

Visualize your machinery on a dashboard
Automated condition monitoring of all critical components
Data insights to optimize machine performance
Save an individual demo
Dashboard mockup

Predictive Maintenance: The Holy Grail of maintenance

AI-supported early detection of machine faults
Comprehensible assessment of health status
Visual analysis to identify the causes of failure
Predictive Maintenance
Expert receives warning message from aiomatic in the event of poor machine health

Features that make our solution unique

Real-time dashboard for displaying the machine status

Our real-time dashboard offers you full transparency about the status of your machines and systems. Keep an eye on key activity figures and downtimes and use smart data analysis for Predictive Maintenance planning. Our software makes your daily work easier, minimizes unplanned system downtimes and increases system availability in the long term.
Dashboard of the predictive maintenance solution from aiomatic
Machine error warning message from aiomatic

Warning messages to predict potential failures

Our maintenance software automatically detects deviations in your machine data, analyzes their relevance and alerts you about potential problems at an early stage. The warning messages does not only provide information about the fault, but also show which component is affected. This allows you to react quickly, minimize repair costs and ensure machine availability.

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.
Several colour pots in front of the machine

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

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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 condition of the systems
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Machine data is digitally recorded periodically or event-based at least once an hour
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Success stories with our software from different industries

Large industrial plant 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.
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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.
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More questions?
Our expert Kim Barthel will be happy to advise you!
Get in touch now
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