OUR MISSION
By integrating a new class of intelligent sensor technology, we’re redefining predictive maintenance and setting a new standard for condition monitoring for gearboxes.
With our sensor and data analytics, we can tell you exactly what’s happening inside your gearbox.
Our measurement process enables a new kind of intelligent monitoring for critical components in gearboxes and drivetrains. It doesn’t just detect wear particles, it automatically characterizes them, during operation, in real time. Specific insight into gearbox condition is available within seconds.
We’re making mechanical engineering more sustainable through digitalization.
Built for results, not just readings
Early Wear Detection
Lifetime Prediction
Live Monitoring
Maximize Uptime
Benefits at a glance
Built for critical drivetrains
Aviation
Energy
Ships
Industry
A new type of
1 – Sensor integration
Our sensors are installed directly in the lubrication circuit and continuously capture metallic particle size, material and count.
2 – Real-time data analysis
Captured data is transmitted securely to our cloud platform, where machine learning algorithms analyze it and detect patterns that indicate wear or defects.
3 – Action recommendations
The system generates concrete maintenance recommendations and automatically notifies the responsible teams via dashboard, app, or email.
Installed directly in the gearbox lubrication system. The sensor continuously detects metallic wear particles through high-precision magnetic measurement. The measurement method doesn’t depend on moving wear particles, and its performance isn’t limited by slow-rotating components or complex assemblies. Its retrofit design makes it simple to integrate into both new and existing systems.
The AI-powered analysis delivers real-time insights on material type, particle volume, and count. This enables accurate lifetime estimation and early damage detection with information about the risk potential of wear particles and assignment to individual component groups.
A new type of
1 – Sensor integration
Our sensors are installed directly in the lubrication circuit and continuously capture metallic particle size, material and count.
2 – Real-time data analysis
Captured data is transmitted securely to our cloud platform, where machine learning algorithms analyze it and detect patterns that indicate wear or defects.
3 – Action recommendations
The system generates concrete maintenance recommendations and automatically notifies the responsible teams via dashboard, app, or email.
Installed directly in the gearbox lubrication system. The sensor continuously detects metallic wear particles through high-precision magnetic measurement. The measurement method doesn’t depend on moving wear particles, and its performance isn’t limited by slow-rotating components or complex assemblies. Its retrofit design makes it simple to integrate into both new and existing systems.
The AI-powered analysis delivers real-time insights on material type, particle volume, and count. This enables accurate lifetime estimation and early damage detection with information about the risk potential of wear particles and assignment to individual component groups.
A new type of
1 – Sensor integration
Our sensors are installed directly in the lubrication circuit and continuously capture metallic particle size, material and count.
2 – Real-time data analysis
Captured data is transmitted securely to our cloud platform, where machine learning algorithms analyze it and detect patterns that indicate wear or defects.
3 – Action recommendations
The system generates concrete maintenance recommendations and automatically notifies the responsible teams via dashboard, app, or email.
Installed directly in the gearbox lubrication system. The sensor continuously detects metallic wear particles through high-precision magnetic measurement. The measurement method doesn’t depend on moving wear particles, and its performance isn’t limited by slow-rotating components or complex assemblies. Its retrofit design makes it simple to integrate into both new and existing systems.
The AI-powered analysis delivers real-time insights on material type, particle volume, and count. This enables accurate lifetime estimation and early damage detection with information about the risk potential of wear particles and assignment to individual component groups.
An innovation comes
to life
DI Michael Aufreiter
DI Michael Aufreiter
DI Dr. Daniel Kagerbauer
DI Dr. Daniel Kagerbauer
Scientific Advisory Board
Mag. Lukas Püspök
TU Wien
TU Wien
DI Christian Bulfon
We're hiring
Get in touch
Have questions? We’d love to hear from you.