Our solution is comprised of three main building blocks:

  1. Data collection - either machines with built in capabilities to provide operational data or machines equipped with external sensors

  2. Masking module which can run on-premise (e.g. on Amazon GreenGrass core, Azure IoT edge runtime), or alternatively, can run on the machine operator cloud

  3. Global AI model constructed out of the data flowing from all connected machines and sensors and from all different machine operators