Predictive, reliable, efficient

Your partner for Predictive Maintenance

With our advanced software, we offer you a tailor-made solution to monitor your machines, identify failures early and optimally control maintenance processes. This ensures the availability of your machines and lays the foundation for continued growth.
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The management of aiomatic
A functional solution for Industry 4.0.

Our vision — Industry 4.0 with Predictive Maintenance

aiomatic was founded with the vision of creating a truly functional solution to the widespread problem of machine failures in industry. Companies are increasingly dependent on digital maintenance solutions in order to remain competitive.
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Our founders aimed to be more than just another provider of project-based work and historical data analysis. They wanted to bring a product to the market that would revolutionize the entire maintenance process, enabling companies to operate their machines more efficiently and sustainably.
Our values

Shaping the future of your maintenance

With our innovative AI software, we ensure that your maintenance strategy remains competitive not only today, but also in the future.
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innovation

Innovation is at the core of our DNA. We strive to constantly develop new, innovative features that optimize work with our software. Through continuous research and development, we set new standards and ensure that our solution not only meet today's requirements, but is also sustainable.
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Partnership

For us, collaboration means more than just a business relationship — we see ourselves as long-term partners for our customers. Through close collaboration and feedback opportunities, we create trust and ensure that we focus on the individual needs of each company.
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Sustainability

Our AI-based analysis of machine data enables companies to optimize maintenance processes, use resources efficiently and avoid unnecessary consumption. In this way, we make a direct contribution to reducing emissions and promote a sustainable, resource-saving industry.
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Efficiency

For us, efficiency means optimising processes in order to make optimal use of resources and deliver the highest quality. Through intelligent technologies, we help our customers to maximize their maintenance processes and machine runtimes, minimize downtime and thus increase overall efficiency.

What can our solution do for you?

How Condition Monitoring & Predictive Maintenance help
your company move forward

Our software helps you to gain full control of your machines, protect your machines from failures and optimize your maintenance processes through Predictive Maintenance. Optimized maintenance processes enabled a significant improvement in operational efficiency and long-term cost reductions.
Extend the life of your machines
Minimized downtime
Maintenance cost savings

Our management

Lena Weirauch, the CEO of aiomatic
Lena Weirauch
CEO & Co-Founder
Lena is a certified psychologist and CEO at aiomatic. She discovered her passion for data analysis during her studies and deepened her knowledge in the aviation industry. In addition to her role as CEO, she is currently completing her doctorate in work and organizational psychology at the University of Bern. She also works in the plenary session of the Hamburg Chamber of Commerce.
Björn Schulz, the CTO of aiomatic
Björn Schulz
CTO
As CTO, Björn is aiomatic's “math genius”. Shortly after its founding, he joined with over ten years of experience in data science and programming, including his work at one of the largest German online retailers.
Initially as lead data scientist, he built up aiomatic's core AI and IT processes in a pioneering way and is now driving product development forward as CTO.
Engineer optimizes maintenance processes on machines

We are looking forward to your project

Use Predictive Maintenance and take your maintenance processes to the next level.

Contact us today and let us work together to develop a solution that is the perfect fit for your business.

Feel free to contact us if you have any further questions!

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simple, clear, and tailored to your needs.
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