From condition monitoring to predictive maintenance

In recent years, sensor data acquisition has become increasingly economical. Fusing this data with automated AI could lead to powerful machine condition monitoring systems.

Having already built up expertise in automated time series forecasting, we are actively extending our current services to remote condition monitoring of machines and other physical structures.  We are developing several plugins to our AutoML platform, which will allow us to flexibly deploy automated predictive maintentance software to (fleets of) live machinery.