Grade Control & Geotechnical Control

Advanced sensing

Grade control sensors such as XRF, XRD, LIBS and hyperspectral scanners rely on AI calibration software to turn raw spectra into grade and mineralogy.

Bench Slope Design

AI-assisted bench slope design uses ML models to generate rock-mass inputs like dip and dip-direction, then runs factor-of-safety analysis in RocScience.

Blasthole Logging

AI blasthole logging today mostly means AI-driven drilling: Hexagon Drill Assist sets drill parameters automatically from live rig-sensor data as it drills.

GeoMet Reports

Automate geometallurgical reports with Cancha, a geometallurgy platform that combines sample selection, predictive modelling and reporting in one workflow.

Geotechnical Monitoring

Geotechnical monitoring with AI runs slope radar (IDS GeoRadar) and satellite InSAR (SkyGeo) through ML layers so wall-failure warnings surface early.

Geotechnical Reports

Automate geotechnical reports by connecting Power BI or Tableau to your live geotechnical block model and monitoring feeds, so they regenerate on their own.

Monitoring Reports

AI-generated mine monitoring reports come built into slope radar and InSAR platforms like IDS GeoRadar and SkyGeo, produced straight from live sensor data.

Structural Mapping

AI structural mapping captures pit-wall point clouds in Maptek PointStudio or CSIRO's Sirovision, then extracts joint orientation and spacing automatically.