Options for integrating our software

Our cloud solution stands out thanks to its straightforward integration. It connects seamlessly with existing systems, enabling access to real-time data from multiple locations, and eliminating the need for complex IT projects or hardware investments. You can get started right away – securely and scalable.
easy integration of aiomatic software

The strengths of our software in system integration

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Implemented in
a few days

without complex IT projects
and easy scalability for additional facilities
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Seamless integration into your technical infrastructure

Our cloud solution supports various digital interfaces (e.g. OPC UA) without the need for additional hardware.
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Highest
security standards

Your data is stored in the ISO/IEC 27001-certified Microsoft Azure cloud and managed in accordance with the GDPR and the EU AI Act.
Your machine data - our software

Data connection options

Option 1:

Provision by you

You send your data to our cloud directly via MQTT in a predefined format.

Option 2:

aioConnect Service

aiomatic provides installation instructions and manages the data connection from a standard interface (e.g., OPC UA) to our cloud.

Option 3:

Plug & Play with KSB sensors

KSB sensors capture measurement data directly from your machine and transmit it wirelessly via a gateway and the KSB Cloud to the aiomatic Cloud.
Datenanbindung

Success factors for a quick & successful project start

To ensure a smooth and rapid implementation of our solution and to maximise the project's added value, we recommend adhering to the following basic principles:
Machine data is already being digitally recorded on a periodic or event-driven basis at least once an hour.
Machine data can be made available continuously via a digital interface.
IT staff from your team are available for the implementation.

Efficient onboarding with minimal effort

1
Joint
kick-off
Time: approx. 2 hours
2
Setup planning
with our team
Time: approx. 1 hour
3
Sensor installation
by KSB
Time: approx. 1 working day
No customer effort
4
Further coordination with aiomatic
Time: 2 x 1.5 hours
Ready to use in just a few days
No complex IT project
Minimal effort on customer side
Only 6 hours of customer effort to monitor 20 use cases.
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Potential Analysis: Is your data suitable for predictive maintenance?

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.
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
Employee Luca
"Those who integrate data intelligently with AI services lay the foundations for better decision-making,
automated analysis and new digital opportunities."
Luca Jedelhauser
Technical Project Manager

Support

Frequently asked questions

Integration and Interfaces