Sector — Mining
AI for Mining.
Predictive maintenance, vision safety, exploration data analytics for hub and spoke operations. Built for the way Australian miners actually run.
Australian mining is one of the largest contributors to the economy and one of the most under-served by digital consultancies. Operations leaders we work with talk in MTBF, AISC, and TRIFR. We built the offer to match.
Hub and spoke operations, owner-operator and multi-mine groups running shared services. Aging fleet equipment, a constant TRIFR target, AISC under pressure from energy and labour costs.
AI lands first where uptime and safety converge. Predictive maintenance protects throughput. Vision safety protects people. Exploration data analytics finds the next ore body without sending more boots on the ground.
Where AI lands first.
Three to four AI opportunities specific to Mining operations. We start with the one most ready for production.
Predictive maintenance
Truck and shovel uptime
Anomaly detection on telemetry from primary fleet equipment. Targets MTBF and unplanned downtime. Deploys to existing data lake / historian.
Vision safety
Site camera event detection
PPE compliance, exclusion-zone breaches, vehicle proximity. Reduces TRIFR. No new hardware, runs at the edge or central server.
Exploration
Drillhole and assay synthesis
Agentic synthesis of historical drillhole, assay, geophysics, and geochem data. Surfaces correlations the geo team would otherwise need months to find.
Document intelligence
Compliance and reporting
Automated reading of inspection reports, JSAs, environmental compliance. Trend detection across fleet and sites.
Why us, for Mining.
XP discipline matters more in mining than almost anywhere. The systems run on remote sites, often disconnected, and need to be maintained by your team. We build for that. Documented, tested, version-controlled.
And we use the language of the operation. AISC, TRIFR, MTBF, OEE in pit, fleet utilisation. Not a deck of generic AI promises.