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About us


KONUX combines Machine Learning algorithms and IIoT to deliver software-as-a-service solutions for operation, monitoring, and maintenance process automation.

The KONUX system is an end-to-end solution which uses IIoT devices and artificial intelligence to improve network availability, extend asset lifetime and reduce costs.

It continuously monitors and analyzes the health of key S&C components such as the track bed, and frog, and provides actionable recommendations.

It ultimately allows for better maintenance planning by helping infrastructure managers anticipate failures before they happen and know the optimal time and type of maintenance needed.



The KONUX Predictive Maintenance System for Rail S&C helps infrastructure managers improve network availability, prolong asset lifetime, and empower their employees to make maintenance more efficient.

Railway networks have to cope with increasing load and aging infrastructure. As maintenance needs get more frequent, manual inspections don’t suffice to detect them in advance. S&C is the most critical part of the rail infrastructure, causing approximately 20-30% of infrastructure-related delay minutes and costing €12bn a year globally to maintain and replace.

Our advanced system based on machine learning technology can estimate how the condition of S&C components will develop in the next 90 days. This allows you to detect early signs of degradation, plan ahead for an inspection, and prioritize maintenance on the most urgent assets.

Each of our internet-of-things devices can easily be deployed in the field in under ten minutes. They are autonomous and durable, with a battery life of four years. The sensors are mounted directly onto the track sleeper and continuously measure key parameters such as vibration and acceleration without disrupting regular traffic operation.