Alteration/Proxies Model
Model alteration proxies in 3D: Corescan hyperspectral maps feed Leapfrog Geo implicit surfaces, replacing a geologist's logged intensity scores alone.
All
AI 129
Exploration & Target Generation 64
Geospatial Modeling 56
Machine Learning 44
AI Agents 39
Computer Vision 18
Anomaly Detection 17
Process Optimization 15
Hyperspectral Imaging 12
Drilling & Blasting Operations / Blasthole Analysis 11
Geometallurgy Characterization
Clay/Geomet Model
Clay mineral prediction with AI: scan core with Corescan or HyLogger, automate first-pass logging with CSIRO's MyLogger and feed the geomet block model.
Dynamic Block Models
Dynamic block models re-estimate your grade model automatically as blastholes, grade-control samples and production data stream in from the mine.
Exploration Brownfield
Brownfield exploration with AI: load a mine's drillhole and block model archive into Leapfrog, then add ML targeting to flag extensions faster.
Hyperspectral Input Models (High Resolution Clay Models)
Hyperspectral clay models start with Corescan HCI or CSIRO HyLogger scans, about 800,000 spectral samples per metre, then automated mineral interpretation.
Proxy Models
Geometallurgical proxy models predict an expensive assay from a cheap measurement. Build one with Cancha for a turnkey path, or scikit-learn and XGBoost.
Recovery & Hardness Prediction with Machine Learning
Recovery and hardness prediction with ML: train XGBoost, LightGBM or Random Forest on mineralogy, geochemistry and geomet testwork, or use Cancha.