Smart maintenance: The future in care and upkeep

Smart maintenance is the future of care and upkeep. Our goal is to make the most of condition-based and predictive maintenance to maximize availability, safety, and cost efficiency of rolling stock and infrastructure.

Infografik Smart Maintenance

Exploiting the power of AI for smart maintenance

Smart maintenance incorporates AIoT concepts to create value for current maintenance practices. New opportunities loom large on the horizon as the era of digitalized systems dawns. These opportunities can be spotted with an analytical, big-picture view of the entire maintenance process. We apply the latest data-based technologies to implement learning-driven smart maintenance with the goal of maximizing the availability, safety, and cost efficiency.

Züge im Bahnhof

Our holistic, tailored solutions boot efficiency in maintenance. We offer consulting, services and system solutions. Our interdisciplinary teams of industry experts, data scientists and engineers, software developers, and cloud solution architects is here to develop the solution that suits you best.


  • Holistic approach
  • Rapid identification of potentials


  • Cloud, data engineering, data science and AI projects
  • New knowledge is generated

System solution

  • Tailormade software solutions
  • Transfer of IP rights

How can ITK Data Lab be used for smart maintenance?

We developed our own data lab to rapidly identify potentials in data for the railway industry.

How the data lab benefits your business:

Develop an individual data strategy

Data initiative: Pinpoint your data’s potential.

Data project: Identify the right use cases for your data project.

Prof. Dr.-Ing. Markus Hecht

Smart maintenance offers a tremendous opportunity to accelerate and stabilize the operating process while saving on maintenance costs. It is necessary to identify the demand for maintenance much earlier, and then consolidate and integrate this maintenance work into the transport process to save time. Smart maintenance solutions indicate when a critical state will occur. Maintenance can be scheduled in an intelligent and efficient way accordingly.

Prof. Dr.-Ing. Markus Hecht, TU Berlin, Institute for Land and Sea Transportation

Automatic defect detection with the ITK Data Lab Framework

How do you exploit the potential of unused data? The ITK Data Lab Framework can help. For example, it served to validate a use case involving automated defect detection. This solution is easing our customer’s transition to smart maintenance and helps to put data to productive use – the entry barrier to smart maintenance is very low.

Key Takeaways

Icon intelligente Glühbirne

From reactive to proactive maintenance

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Up to 25 percent cost reduction

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Low entry barrier

Unsolved challenges? We look forward to your inquiry.

Portrait Lennart Wilms

Mobility – Railway technology

Lennart Willms

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