top of page
Predictive maintenance with IoT software
Cost savings
Reduce maintenance costs & extend machine service life
Assistance & security
Real-time insights without maintenance personnel
Easy integration
Seamless integration into existing systems
Scalability
Algorithm can be extended to other machines
Typical challenges in the industry
Machine maintenance is a major challenge for businesses - especially when undetected faults suddenly lead to production stoppages and delivery delays. Reactive maintenance, which involves repairing or replacing components, leads to long downtimes and bottlenecks for maintenance personnel. Even regular preventive maintenance does not solve the problem: it often wastes resources and causes unnecessary costs.
The solution: predictive maintenance
Predictive maintenance offers a solution to this challenge by acting like a preventive health check for machines. It uses data analysis and machine learning to predict potential failures at an early stage. This enables companies to identify and schedule maintenance needs in advance, resulting in reduced downtime, optimised use of resources and lower overall maintenance costs.
The advantages of predictive maintenance
Longer machine service life
Optimised use of maintenance staff
Reduction of downtimes
Greater operating efficiency
How does predictive maintenance work?
Requirements for predictive maintenance
Secure and scalable data infrastructure
Reliable sensor data that allows conclusions to be drawn about the condition of the machines
Powerful analysis software
Frequently asked questions
Here you will find answers to the most frequently asked questions about predictive maintenance and our software solution.
bottom of page