MineSense vs Minsel
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.
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
Minsel
minsel.ai
First AI-driven mineral resource estimation platform
Best forGeologists and resource estimation teams looking to automate and accelerate block model generation from drillhole data
PricingEnterprise · current pricing
What it doesMinsel is a purpose-built AI platform for mineral resource estimation that automates the workflow from drillhole data import through 3D geological modeling to block model generation. The platform uses AI to validate collar, survey, and interval records, detect errors, fill data gaps, and automate 3D correlation of multi-source interval data including assay, lithology, and alteration. This removes the need for manual picking and significantly reduces data preparation time.
Capabilities
Visit Minsel →- AI-driven drillhole data validation and error detection
- Automated 3D geological domain correlation across multi-source interval data
- Block model generation powered by machine learning
- Sample classification and lithology interpretation
- Spatial continuity modeling without manual picking
How to choose
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. Choose Minsel if you are geologists and resource estimation teams looking to automate and accelerate block model generation from drillhole data. Both sit in Mining; the right pick depends on your exact workflow and budget.
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