Industrial Asset Monitoring Platform
A mining operation had no real-time visibility into equipment health, leading to unexpected breakdowns that halted production and caused safety risks.
- 40%
- Less Downtime
- 200+
- Assets Monitored
- Real-time
- Health Alerts
- 6 mo
- To Delivery
Heavy equipment breakdowns were the single biggest cause of production delays and safety incidents. Maintenance was purely calendar-based — equipment was serviced on schedule regardless of actual condition, meaning some machines broke down between services while others were over-maintained.
They needed a condition-based monitoring platform that tracked equipment health metrics in real time, predicted failures before they happened, and prioritised maintenance based on actual need rather than fixed schedules.
We built an asset monitoring platform that ingests sensor data from 200+ pieces of equipment, applies anomaly detection algorithms to predict failures, generates prioritized maintenance work orders, and provides real-time health dashboards for operations and maintenance teams.
Unplanned downtime dropped 40%, 200+ assets are monitored in real time with predictive alerts, and maintenance shifted from calendar-based to condition-based — extending equipment life and reducing costs.
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