Predictive maintenance machine learning


  • Maximize return on assets.


Main features

  • Maestro Connect will catch asset failure before it occurs.

As time goes by, Maestro connect will be able to predict the expected behavior of the machine, up to its potential failure.

This predictive level will be working on both recent data and long history and will result in predictive maintenance suggestions from Maestro connect to the customer.

From the very first day of installation, Maestro connect collects and analyzes data over time from machineries, looking for hidden trends to provide high-value information with a usercentered experience.


  • In this way it will be possible to:

  • plan and manage repairs or replacement choices over the lifecycles of individual assets
  • refine digital asset strategies directly from machine usage
  • proactively schedule repairs