Unplanned downtime is one of the most expensive events on a mine site. A haul truck fails mid shift, the line stops, a crew scrambles, and the cost lands as throughput nobody forecast. The data needed to see it coming usually already exists. It is just not being read.

The data is already there

Primary fleet equipment generates telemetry continuously. Maintenance teams record every service and failure. Historians hold years of it. The signal that a component is degrading is often present days before it fails. Predictive maintenance is the practice of surfacing that signal in time to act on it.

From unplanned to planned

With anomaly detection on the telemetry, the failing component is flagged ahead of time. The repair is scheduled into planned downtime, with parts on hand. The result is fewer unplanned outages, steadier throughput, and maintenance spend directed where it counts rather than spread evenly across a fleet that does not need it.

Built for the way miners run

Systems on remote sites need to keep working when the connection drops, and they need to be maintained by your own team. We build for that: documented, tested, version controlled, and deployed to the data lake or historian you already run. The language is the operation’s own: MTBF, TRIFR, AISC, fleet utilisation.