Key Takeaways Strayos uses drone photogrammetry and ML/genetic-algorithm optimization trained on historical blast outcomes to recommend burden, spacing, and timing before you drill. O-Pitblast and Deswik.Blast are established commercial alternatives with …
Key Takeaways MineMax by NTWIST is explicitly AI-driven — it sits as a supervisory layer over existing mine and plant systems, continuously learning from operational outcomes to make real-time blend and feed recommendations. Deswik Blend, BOLT, and GO are the …
Key Takeaways Hexagon Drill Assist puts AI directly into the drilling algorithm, automatically managing drill parameters from rig-sensor data as it drills — no manual parameter entry. Operators report training time dropping from years to about 15 minutes with Drill Assist, alongside real gains in …
Key Takeaways Blast sequencing and timing design live inside broader blast-design suites: Orica BlastIQ and Deswik.Blast. BlastIQ is a cloud platform for storing, managing, and sharing blast-related information, giving quality-control visibility over blast design and execution rules. Marked …
Key Takeaways On-stream XRF/XRD analyzers replace periodic lab assays with continuous, real-time concentrate-grade data. Malvern Panalytical and Thermo Fisher both sell mature on-stream slurry analyzers used in copper concentrators today. This continuous data stream is what makes closed-loop AI …
Key Takeaways Crusher circuit optimization is one of the more measurable AI wins on this list: reported gains of 1-5% throughput and 10-15% energy reduction from AI setpoint optimization. Imubit’s Closed Loop AI Optimization uses reinforcement learning to write optimal setpoints directly to …
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 Grinding (SAG/ball mills) is one of the single largest energy consumers on a mine site — comminution overall is roughly half of total plant energy use, so small efficiency gains are worth real money. Closed-loop AI controllers now write mill setpoints directly, rather than just …
Key Takeaways Long-term mine planning is one of the more genuinely AI-native categories on this list: Maptek Evolution runs many scheduling scenarios in parallel on cloud compute, with solutions that learn from each other to iteratively improve. Whittle (Enterprise Optimizer) and Deswik.Sched are …
Key Takeaways Traditional mill surveys are manual, periodic snapshots — a team samples the circuit for a shift and calculates a mass balance after the fact. That’s being displaced by continuous capture: plant historians like AVEVA PI System log the same circuit variables 24/7, at far higher …