Key Takeaways Envirosuite (EVS Industrial) is the leading environmental intelligence platform used by mining operations, now owned by Ideagen. It combines device-agnostic sensor integration with weather forecasting to predict dust, noise, vibration, and blast-fume impacts up to 72 hours ahead. A …
Key Takeaways Brownfield exploration (drilling near an existing mine) already sits on top of dense historical data — drillholes, block models, grade control records — which is exactly the fuel AI targeting tools need. There’s no separate “brownfield AI” product category; teams …
Key Takeaways Flotation is one of the most mature applications of industrial AI in mineral processing — this isn’t speculative. Imubit’s closed-loop AI uses reinforcement learning to write optimal setpoints directly to the plant’s existing control system, not just recommend them to …
Key Takeaways Fracture spacing/frequency logging is one of the best-validated AI applications on the whole poster — it has a published head-to-head comparison against expert human logging. Datarock Core (part of IMDEX) uses a neural network to detect and classify fractures directly from core …
Key Takeaways Orica FRAGTrack uses AI plus stereoscopic 2D/3D imaging for automated post-blast fragmentation analysis — no manual sieving or scaled photos required. It ships in multiple deployment forms: FRAGTrack Conveyor, FRAGTrack Crusher, FRAGTrack GeoSpatial, and a newer excavator-mounted …
Key Takeaways Geochemical proxies — patterns in multi-element data that stand in for the presence of mineralization — are one of the clearest “AI already works here” stories in exploration. Platforms like VRIFY DORA, GeoVista AI, and OreFox train ML models on known-deposit geochemical …
Key Takeaways GeoMet reporting — turning geometallurgical sample results into predictive performance reports — has a real dedicated platform: Cancha. Cancha integrates sample selection, prediction modelling, and automated reporting into one system, rather than leaving geologists to stitch …
Key Takeaways Geomet reconciliation — comparing predicted vs. actual mill performance to recalibrate your models — has a documented real-world AI implementation at the Tropicana Gold Mine. The Tropicana approach uses near-real-time recalibration of Work Index and geomet block models based on the gap …
Key Takeaways The raw geophysics (magnetics, gravity, EM survey acquisition) is still classical, mature science — AI enters at the interpretation stage. AI prospectivity-mapping platforms like VRIFY DORA fuse multiple geophysical layers with geochemistry and geology to rank exploration targets …
Key Takeaways AI-augmented slope radar and satellite InSAR monitoring is now the standard, not the exception, for real-time pit-wall movement detection. IDS GeoRadar’s Ai.DA adds a machine-learning layer on top of raw radar data to separate real instability trends from noise. SkyGeo delivers …