Micromine Origin 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.
Integrated geological modeling and resource estimation with AI-powered Grade Copilot
Best forExploration geologists and resource estimation teams requiring an all-in-one 3D modeling and estimation environment with AI-assisted grade analysis
What it doesMicromine Origin is a comprehensive geological modeling and resource estimation platform that combines drillhole management, 3D implicit and explicit modeling, geostatistical analysis, and grade estimation in a single environment. Its AI-powered Grade Copilot feature allows geologists to explore data, validate hypotheses, and generate geological interpretations faster than traditional workflows. The platform supports the full exploration lifecycle from prospect mapping through to resource evaluation and cloud-integrated collaboration.
Capabilities- AI-powered Grade Copilot for geological interpretation and hypothesis validation
- 3D implicit and explicit geological domain modeling
- Drillhole management and data visualization
- Geostatistical analysis and advanced grade and resource estimation
- Cloud-integrated real-time collaboration across teams and sites
Visit Micromine Origin →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
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- 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
Visit MineSense →How to choose
Choose Micromine Origin if you are exploration geologists and resource estimation teams requiring an all-in-one 3d modeling and estimation environment with ai-assisted grade analysis. 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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