GeologicAI vs MineSense
Two Mining AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
GeologicAI
www.geologicai.com
AI-powered drill core scanning and geological decision engineering
Best forExploration and resource teams needing high-fidelity on-site drill core characterization and AI-driven geological modeling
PricingEnterprise · current pricing
What it doesGeologicAI combines on-site multi-sensor core scanning hardware with AI analytics to deliver real-time mineral data from drill cores, integrating five sensor types including hyperspectral, XRF, RGB, LiDAR, and magnetic susceptibility. The platform covers the full mining cycle from core scanning and digital logging to resource modeling and mine planning, integrating with industry-standard software such as RMSP and DHO. Clients include major producers such as Agnico Eagle, and the company operates across five continents.
Capabilities
Visit GeologicAI →- Multi-sensor drill core scanning (hyperspectral, XRF, RGB, LiDAR, magnetic susceptibility)
- AI-powered digital core logging and lithology classification
- LIBS-based elemental and mineralogical analysis for rare-earth elements
- Resource modeling and mine planning integration
- Predictive AI algorithms for non-visible element detection (e.g., Au)
MineSense
minesense.com
Real-time ore grade sensing and AI routing at the mine face
Best forOpen-pit and underground mining operations seeking to reduce ore dilution and improve metal recovery through real-time grade control
PricingEnterprise · current pricing
What it doesMineSense provides a hardware and software system that uses XRF-based sensors mounted on shovels and conveyors to characterize and grade ore in real time at the bucket level, enabling precise ore-vs-waste routing decisions. Proprietary machine learning algorithms process sensor data and deliver results through the MineSense Data Portal, connecting pit grade data to concentrator operations. The platform is deployed at major copper operations globally, including sites in Peru, Chile, and British Columbia.
Capabilities
Visit MineSense →- XRF-based ShovelSense real-time ore grade measurement per bucket
- BeltSense conveyor-based ore characterization
- Machine learning algorithms for ore grade prediction and routing
- MineSense Data Portal for real-time operational dashboards
- Mine to Mill integration connecting pit grade to concentrator blending
How to choose
Choose GeologicAI if you are exploration and resource teams needing high-fidelity on-site drill core characterization and ai-driven geological modeling. Choose MineSense if you are open-pit and underground mining operations seeking to reduce ore dilution and improve metal recovery through real-time grade control. Both sit in Mining; the right pick depends on your exact workflow and budget.
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