Predict equipment failures before downtime occurs. Connect CMMS + Inventory + Telemetry + Maintenance History into an automated work-order engine.
A focused MVP designed specifically for equipment-intensive industrial environments.
Machine learning models evaluate vibration, temperature, acoustic sensors, and historical MTBF to forecast failures with confidence probabilities.
The Maintenance Agent synthesizes sensor data against past repair logs to explain exactly why an asset is showing elevated failure risk.
Cross-references open production schedules to find the lowest-impact maintenance window before failure occurs.
Queries WMS/Inventory to verify spare parts availability and automatically reserves replacement components for the assigned shift.
Generates CMMS work orders complete with technician assignments, task instructions, and safety protocols upon supervisor approval.
Monitors post-repair sensor streams to verify machine health recovery and updates historical asset intelligence records.
Deploy OpsMind Maintenance across your facility in weeks, not months.