AI Geochemical Prospecting Suite
This AI solution applies advanced machine learning to geochemical, geostatistical, and core-scanning data to detect anomalies, model mineral systems, and prioritize high‑potential exploration targets. By automating mineral targeting, resource characterization, and tailings classification, it reduces exploration risk, shortens discovery cycles, and improves capital allocation across greenfield and brownfield projects.
The Problem
“Your exploration dollars are wasted drilling the wrong ground and missing hidden deposits”
Organizations face these key challenges:
Exploration teams spend months cleaning and stitching together geochemical, geophysical, and drilling data before they can even start targeting.
High drilling costs with low hit rates on economic mineralization, especially in greenfield and undercover terrains.
Targeting quality depends heavily on a few senior geologists, making results inconsistent and hard to scale across regions.
Subtle geochemical anomalies and complex mineral system patterns are missed by traditional mapping and basic statistics.