Mining
Drive stability & predictability from mine to mill.
Decades of paper exploration records become queryable knowledge, so grades and reserves are planned against everything already known about the ground. Crusher and conveyor anomalies are caught before they stop the circuit, ore-quality data tunes processing in real time, and vision keeps workers and haul equipment apart.
In the news
Avathon in action
AI-driven exploration targeting
A digital geologist extracts location, lithology, and assay data from decades of paper archives. Historical intelligence sharpens targeting, so operators find higher grades, cut wasted drilling meters, and expand reserves faster.
Predictive heavy-equipment maintenance
Normal behavior models per equipment class score anomalies and predict downtime before failure. Root-cause analysis combines sensor data, maintenance history, and OEM guidance into condition-based schedules that balance risk, cost, and production.
Real-time processing optimization
Ore grades and recovery conditions shift daily, so models adjust reagent dosage and energy use in real time across mills, roasters, and autoclaves. Parameters adapt to the ore actually arriving — throughput and yield at the lowest cost per ton.
Supply chain intelligence
Spares and consumables demand is forecast from asset populations, failure rates, and maintenance schedules. What-if simulation tests disruptions before committing resources, and maintenance signals flow straight into parts readiness.
Visual AI for worker safety
Computer vision verifies PPE and keeps workers and haul equipment apart, autonomous vehicles included. Real-time dashboards track alarm trends across the enterprise — prevention, not accident investigation.