Mining & Industrial
Intelligence for asset-intensive operations.
Targeted AI and digital capabilities that drive yield, predictability and safety across mining and industrial environments — from the block model to delivered product.
Capabilities
Built for the pit, the plant and everything between.
Five capabilities that turn geological and operational data into decisions your teams can act on, shift by shift.
Coal quality reconciliation
Automated reconciliation of predicted versus actual coal quality to tighten planning and commercial outcomes.
Digital twin mining
Live virtual models of pits, plants and logistics that unlock scenario planning and operational optimization.
Self-calibrating prediction
Models that continuously learn from new observations to maintain forecast accuracy as conditions shift.
Real-time error attribution
Instant drill-down into variance drivers so teams can correct course before losses compound.
Spatial geology learning
AI that learns from geological and spatial data to refine resource understanding and extraction decisions.
Operational excellence
Digital workforce enablement, process automation and asset management across the value chain.
Case in Focus — Mining
Coal quality prediction, reimagined.
AI-Driven Coal Quality Prediction System
Transform reactive reconciliation into proactive quality control with self-learning predictive intelligence
Coal Quality Prediction: AI-Driven Accuracy Improvement
Accuracy Improvement: 96.8%
Baseline MAE: 1.156% → AI Model MAE: 0.037%
RMSE Improvement: 1.369% → 0.047% | Validated on 15,742 mining cells
Self-Calibrating Coal Quality Reconciliation System · Real-Time Adaptive Learning
Technology demonstration: adaptive learning system eliminates systematic prediction errors — validated using industry-standard geological models.
* Visualization shown for demonstration purposes. Actual performance varies by site conditions, geology and operational practices.
Proactive Quality Control
Traffic-light confidence view for every batch. Anticipate issues before processing, not after. Enable proactive blending and optimization decisions.
Root Cause Intelligence
Decomposes quality gaps into mining (dilution, selectivity), plant (wash efficiency), and measurement noise. Know exactly where to investigate.
Spatial Risk Mapping
Visual maps show where predictions are strong and where they weaken. High-risk zones (thin seams, high dilution) stand out immediately.
Continuous Improvement
Self-calibrating system learns from every batch. Adapts to mining sequence changes, plant drift, seasonal variations — all automatically.
Live Simulation
Watch it learn, batch by batch.
The same engine — from raw block model, to material flow, to a self-calibrating prediction that keeps improving.
Narrated walkthrough — turn your sound on.