Mining
Chile is the world's largest copper producer. Mining operations generate terabytes of sensor data a day, but without relationships between variables predictive AI only catches surface patterns. We diagnose which signals matter and, to the extent the case warrants, 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
Connected operations data
When warranted, we connect sensors, equipment, geology, and maintenance into a single view — integration or graph depending on the case.
Real predictive maintenance
AI that detects failure patterns by crossing multiple variables and contexts.
Integrated safety monitoring
Smart alerts that correlate risks across systems.
Related services
GraphRAG and knowledge graphs
Only if warranted
Automation, agents, and applied AI
When it adds value
Data, integrations, and databases
Foundation when needed
Frequently asked questions
What do you diagnose first in Mining?
We start with the operational pain, usually around Sensor data without context: Millions of readings per day that systems process as isolated numbers. From there we decide whether the issue is process, data, systems, leadership, or a mix of them before proposing any implementation.
Do we need AI or a new platform to solve it?
Not by default. In Mining, the right answer can be a process change, integration, automation, dashboard, custom software, or no build at all. We only use AI or advanced data architecture when the diagnostic shows it will change the business result.
What could an initial project look like?
A first scope often targets Connected operations data: When warranted, we connect sensors, equipment, geology, and maintenance into a single view — integration or graph depending on the case. We keep the scope tied to one measurable outcome, clear ownership, and the capacity your team actually has to operate the change.
How does fractional CAIO/CTO support work here?
We act as fractional technical leadership for Mining: prioritizing risks, turning Reactive maintenance into concrete operating decisions, selecting or coordinating vendors when needed, and supervising implementation until the change is working in the business.