PredictiveMX is an agentic predictive maintenance application that brings together real-time data from across your industrial systems to monitor asset health, predict failures before they occur, and automate maintenance scheduling.

• Asset health monitoring - every asset in the fleet is categorized as normal, warning, or critical, giving managers an immediate snapshot of operational risk.
• Agents for the full maintenance lifecycle - prediction agents analyze vibration and motor patterns to identify imminent failures, planning agents build schedules and assign technicians, and optimization agents keep tuning models to reduce false alarms.
• Connected to the systems you already run - PredictiveMX connects production floor SCADA, IoT sensor networks, enterprise resource planning (ERP) systems such as SAP, and CMMS platforms such as Maximo.
• Recommendations, not raw data - the agents recommend specific actions, such as ordering replacement parts or scheduling work in the optimal maintenance window to minimize production downtime.
• Less unplanned downtime, longer asset life - catching issues like critical compressor vibration or declining conveyor efficiency days in advance lets teams shift to just-in-time maintenance, lowering operating costs and improving safety.