The Problem
Modern mineral exploration still begins with data—but most of that data is fragmented,
inconsistent, and hard to access. Geological information is scattered across government
databases, assessment filings, drill logs, academic archives, and company records.
These systems don't communicate. Most are static, unstructured, and not built for
search or discovery.
Our Solution
We're building the world's most structured exploration dataset using
domain-specific AI models that extract, tag, and align geological data
across multiple formats and sources.
Phase I: Ingest historical data at scale
Phase II: Become the exploration system of record
Phase III: Build AI models that actually work