Mining
Chile is the world's largest copper producer. Mining operations generate terabytes of sensor data daily, but without relationships between variables, predictive AI only catches surface patterns. Our knowledge graphs connect sensors, equipment, geological conditions, and maintenance histories.
— Harvard Business School / Rio Tinto
The problems
Up to 2TB of operational data per day. Your maintenance AI misses most failure patterns.
Sensor data without context
Millions of readings per day that systems process as isolated numbers.
Reactive maintenance
Failures detected when it's already too late. Every hour of downtime costs millions.
Operational safety
Cross-system risks that don't communicate with each other.
Our solutions
Mining
Mining operations graph
We connect sensors, equipment, geology, and maintenance in a unified graph.
Real predictive maintenance
AI that detects failure patterns by crossing multiple variables and contexts.
Integrated safety monitoring
Smart alerts that correlate risks across systems.