Our Method · The Fable Engine
AI isn't our tool. It's our founding geologist.
Eirzan runs the Fable Resources targeting engine, calibrated for the copper systems of our belt.
Read everything
Our models ingested the complete public geoscience record of the belt — decades of assays, geophysics and historical exploration reports, normalised into one statistically honest dataset that no field team could hold in its head.
Screen without prejudice
Machine screening ranks every square kilometre purely on evidence against locally-calibrated thresholds — no district folklore, no outcrop bias. That is how under-cover extensions of a famous belt get found.
Prove the machine before trusting it
Before ranking anything new, the copper model had to re-discover the belt's known deposits blind. Control recovery is our internal standard of proof — the model earned its opinion before we spent a dollar on it.
Then send geologists
AI proposes; geology disposes. Every machine target passes a human verification ladder — source-data audits, historic drill-record reads, cover screening, field checks — before ground spend. Speed from the machines; conviction from the rocks.
AI finds addresses, not orebodies. Nothing replaces drilling, and we say so. Machine outputs are internal decision tools — anything we publish stands behind a named Competent Person, never behind an algorithm.
The Asymmetry
A conventional junior evaluates one district per field season. Our stack evaluated the belt in weeks — and re-runs overnight as each new result lands. In a first-in-time tenure system, that is the entire competitive advantage.