Predictive Maintenance Platform

Unplanned downtime is the enemy of manufacturing efficiency. Industrial Co faced millions in losses annually due to critical machinery failures. We developed a predictive maintenance platform that listens to the machines.

IoT Data Ingestion

We aggregated high-frequency vibration and temperature data from thousands of sensors across the factory floor into a centralized data lake.

Anomaly Detection

Using unsupervised learning techniques (Isolation Forests), our model detects subtle deviations in equipment behavior weeks before a failure occurs.

Impact

The system now alerts maintenance teams to potential issues with 95% accuracy, virtually eliminating unplanned downtime and saving over $2M annually in lost production and repairs.