IronForge Industries relied on scheduled maintenance routines that often missed early signs of equipment failure, resulting in costly unplanned downtime and production delays across its manufacturing plants.
Our engineering team built a predictive maintenance platform using machine learning models trained on sensor data (vibration, temperature, and pressure). The system flagged anomalies in real time and generated maintenance alerts before failures occurred.
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