GLEAN GOLD · Evidence Workbench
AI Gold Deposit Screening & Exploration Interpreter
Standardise lithology, alteration, structure, minerals and multi-element geochemistry into reviewable observations, then use deterministic rules to rank preliminary candidates, conflicts and missing data.
Evidence threshold
A single photograph or gold assay cannot confirm a deposit type. When evidence is sparse, the system must return “insufficient evidence”.
Rules first
Candidate ranking comes from an auditable evidence matrix
Evidence-linked
Customer observations stay separate from reference-model traits
Request-only handling
The local demo does not retain original uploads
Not a professional opinion
Every result requires professional geological review
GG-AU · MATRIX V1
Upload evidence
01 · Private customer evidence
Add geological files
JPEG, PNG, PDF, DOCX, CSV and XLSX are accepted. Exact coordinates are not required; provide only the broad regional context you are comfortable using for screening.
Fully synthetic demo cases
No real licences, projects or coordinates. Use these to inspect rule boundaries and bilingual output.
Available now vs in development
- ✓ CSV assays, units, detection limits, nulls and duplicate results
- ✓ True file type, structure and safety-budget validation
- △ Scanned-PDF OCR, geological image interpretation and complex Word/XLSX extraction: in development
By continuing, you acknowledge that original files are not retained in this demo and all automated extraction requires your confirmation.
Legal and technical boundary
This tool provides preliminary deposit-type screening and educational interpretation only, based on information supplied by the user. It is not a mineral resource or reserve statement, an independent technical report, legal advice, investment advice or an economic-viability conclusion. Photographs and assay results alone are generally insufficient to confirm a deposit type; final interpretation requires review by a qualified geological professional considering field geology, sampling quality, laboratory methods and regional data.