AI-powered machine learning workflows for rare-earth and critical-mineral discovery. We turn fragmented geological data into high-confidence exploration targets — cutting time, cost, and uncertainty before the first drill bit hits the ground.
A simplified view of what your team sees: ranked targets, hot zones, and live workflow activity — refreshing as new data arrives.
Exploration teams spend 95% of their capital chasing the wrong ground. Our autonomous AI workflows read every available signal, then rank where to drill next — with confidence intervals you can defend.
A complete intelligence stack — from raw geophysics to a ranked drill plan — running continuously, refining itself with every new dataset.
Probabilistic mineralization maps with explainable, peer-reviewable reasoning chains.
Geological surveys, satellites, geochem, and proprietary cores — fused into one model.
Active tenants in North America, Australia, and Europe — with regulator-ready data residency in every jurisdiction we operate in.
Most platforms predict where minerals might be. LodeStarX runs a team of expert AI geologists 24/7 — identifying gaps, pulling new data, refining hypotheses, and recommending the next move.
Every gram of copper, lithium, nickel, and rare earth we help find is one less hectare disturbed in the wrong place — and one more month closer to electrification at scale.
Get critical minerals to market faster — closing the gap between projected demand and verified supply for batteries, wind, and grid build-out.
Fewer wildcat holes, less wasted land. Our targeting cuts unnecessary drilling and prioritizes brownfield extension over greenfield disturbance.
Surface decades of overlooked, unanalyzed, and fragmented public data — turning archive PDFs into modern, queryable geological intelligence.