YOUR MINE.
FOUND AND RUN BY AI.
From prospectivity mapping to production optimization — AI agents that identify drilling targets, predict equipment failures and maximize fleet efficiency across your entire mining lifecycle.
From exploration to extraction. No black-box geology. No missed targets.
Mining fails at every stage predictably.
Exploration is slow and expensive. Equipment breaks without warning. Fleets run inefficiently. Data sits in disconnected systems. Our agents operate across the entire lifecycle.
SLOW EXPLORATION
Drilling targets identified too late, too expensively
UNPLANNED DOWNTIME
Equipment failures with no early warning system
FLEET INEFFICIENCY
Haulage routes and loads not optimized in real time
DATA FRAGMENTATION
Geological, operational and financial data never connected
How we find what others miss.
Our models transform multi-source geological, geochemical and remote sensing data into predictive feature vectors used to prioritize drill-ready targets.
The platform can ingest geological surveys, drilling logs, geochemical assays, satellite imagery, equipment telemetry, fleet data, maintenance records, and operational ERP data.
AI-ranked drill targets, confidence scores and prospectivity maps
We focus on the minerals driving the energy transition — cobalt, copper, manganese and rare earths.
One platform. Four modules.
Each module operates on the same data foundation. Deploy one or all four — from first drill to full production.
From exploration to extraction. The AI surfaces the signal, prioritizes opportunities, and detects anomalies. Geologists, engineers, and operations teams remain responsible for validation and operational decisions.
AI EXPLORATION
Geoscience-driven mineral discovery. Identifies high-potential drilling zones by fusing geological, geochemical and remote sensing datasets into ranked prospectivity maps.
- •Geological data analysis and fusion
- •Drilling zone identification and ranking
- •Resource estimation and confidence scoring
PREDICTIVE MAINTENANCE
Continuous equipment health monitoring. Detects failure signatures before breakdowns occur and schedules maintenance at optimal windows.
- •Real-time equipment diagnostics
- •Failure prediction before breakdown
- •Optimal maintenance scheduling
FLEET OPTIMIZATION
Real-time haulage optimization. Continuously recalculates truck assignments, load factors and routing based on live production data.
- •Real-time route optimization
- •Dynamic load balancing
- •Fuel efficiency monitoring
PRODUCTION INTELLIGENCE
Operational data aggregation across all mining systems. Surfaces anomalies, tracks KPIs, and connects field data to management decisions.
- •24/7 production monitoring
- •Performance analytics and variance alerts
- •Unified operational dashboards
Works with your existing stack.
No forced migrations. Your data, our intelligence.
Measured. Every site.
Faster drilling target identification
Reduction in exploration cycle time
Less equipment downtime
Increase in fleet efficiency
From target to transformation.
The Challenge
Manual exploration workflows and reactive maintenance were consuming resources without predictable returns. Equipment failures caused unplanned stoppages. Fleet utilization was below target.
The Result
Exploration time improvement
Equipment downtime reduction
Haulage efficiency improvement
"Mirage transformed our operations, delivering the insights we needed to optimize production and reduce operational costs significantly."
— Director of Operations, North African Mining Group
Find your deposit before the others.
Mirage combines AI and geoscience to identify high-probability drill targets in Morocco: cobalt, copper, manganese and rare earths. From prospectivity mapping to field validation.
Frequently Asked Questions
AI for mining operations is software that applies machine learning to geological data, equipment telemetry, and production records to identify mineral deposits, predict equipment failures before they occur, optimize fleet dispatch, and consolidate operational data into a single view. It replaces fragmented manual analysis with continuous automated intelligence across the full mining lifecycle.
The platform runs four agents simultaneously: an AI Exploration agent that maps prospectivity and identifies drilling targets from geological data, a Predictive Maintenance agent that monitors equipment telemetry and flags failure risk before breakdowns occur, a Fleet Optimization agent that maximizes utilization across the haul fleet, and a Production Intelligence agent that consolidates operational data across the site.
AI exploration systems process geological surveys, drill logs, geochemical data, and remote sensing data simultaneously to identify deposit patterns that manual analysis misses. They generate ranked prospectivity maps that prioritize drilling targets based on multiple data layers rather than single-indicator analysis. Operations typically reduce the number of unproductive drill holes by identifying higher-confidence targets earlier in the exploration program.
Predictive maintenance agents monitor real-time telemetry from haul trucks, excavators, crushers, and processing equipment. They detect anomaly patterns in vibration, temperature, pressure, and hydraulic data that precede failures by days or weeks. Maintenance is scheduled during planned production windows rather than triggered by breakdowns, reducing unplanned downtime and extending equipment lifespan.
The platform connects to all major mining operations systems on the market, including SCADA platforms, fleet management software, maintenance management systems such as SAP PM and Infor EAM, geological databases, and drill planning tools, through direct API integrations. It consolidates data from all these sources into a unified operational view without requiring system replacement.
Sites using the platform typically report reductions in unplanned equipment downtime of 25 to 40 percent, fleet utilization improvements of 10 to 20 percent, and a reduction in time from geological data collection to actionable drilling targets of 50 to 70 percent. Production reporting that previously required manual consolidation across multiple systems is generated automatically.
The platform is designed for mid-size to large mining operations across metals, minerals, and bulk commodities. It is particularly effective for operations running multiple data systems that do not communicate with each other, sites where equipment downtime is a significant cost driver, and exploration programs where drilling costs justify better target prioritization.
Mining Operations integrates into your existing technical environment without requiring system replacement. Access permissions, validation workflows, and audit trails remain fully controlled by your organization. Every prediction, recommendation, and operational alert generated by the platform is traceable and can be reviewed at any time.
Ready to find your next deposit?
Deploy your first AI module in week one. From prospectivity mapping to production intelligence.