Structured subsurface intelligence for capital allocation, resource strategy, and discovery.
REPHIN AI™
Capital flows to projects with strong narratives and weak data. Surface-level geology gets funded. Subsurface probability gets ignored.
Early indicators mislead. Geochemical anomalies without structural context. Drill targets based on proximity, not prediction.
$2-10M per drill program. Most fail. The loss isn’t just money. it’s 18 months of team time, permits, and optionality.
10-15 years from discovery to production. Every month of misdirected exploration compounds. The cost of being wrong early is catastrophic.
We removed the world’s largest lithium deposit from our training data.
The model found it blind.
Top 1.4%across the Western United States. Scored and ranked.
McDermitt Caldera. 40+ million metric tons. Excluded entirely. Recovered without supervision.
Reduce time-to-decision from quarters to weeks. Capital redeploys faster. Portfolio velocity increases.
Fewer holes. Higher confidence per hole. The drill becomes validation, not exploration.
The industry drills 100 holes to find one mine. We scored the largest lithium deposit on Earth in the top 1.4%. without ever seeing it. Every dollar carries more signal.
Patterns learned in Nevada apply to Chile. Geology doesn’t respect borders. Neither does the model.
A basin structure in Nevada shares geological DNA with formations in Western Australia. The model learns transfer, not memorization.
Validated in the Western US. Architecturally ready for South America, Sub-Saharan Africa, and Central Asia. Same system. Different questions.
When the model identifies a signature in one region, it scans every other region for the same signal. Discovery scales horizontally.
The depth of the signal layer is the product. What goes into it stays behind the wall.
Identify prospective basins before the market prices them. First-mover staking on federal land. The model sees what geologists haven't walked yet.
Lithium to copper to nickel to rare earths. Same architecture. Transfer learning validated.
Same physics. Different application. Hidden hydrothermal systems share geological signals.
Sovereign mineral inventories scored and ranked. Strategic resource planning at government scale. The kind of intelligence that reshapes supply chains.
Coordinates, land status, geological context, probability scores. Packaged for investment committees, not academics.
The Earth has always been broadcasting.
Across every frequency. Every layer. Every dimension.
What changed is someone decided to
listen to all of it at once.
We do not publish our methods.
We do not open-source our models.
We share results with partners.
For institutional partners, strategic investors, and operators who understand what early subsurface intelligence is worth.