Unforeseen and sudden faults in machines or devices interrupt the operational processes in the production of the manufacturing companies. Consequently, productions will be delayed that leads to decrease in customer satisfaction and financial performance.

We develop AI-driven models that detect faults, operational inefficiencies, and potential system failures for manufacturing companies. Models take past data of the fault, technical information of devices, demand as inputs.