Product
Geological Intelligence
A dynamic lithostratigraphic lexicon, cross-survey geological correlation, and 2,000 metallogenic models translated into executable geoprocessing rules.
Core System
Dynamic Lithostratigraphic Lexicon
A continuously updated compendium of geoscientific knowledge extracted from decades of accumulated PDFs — articles, theses, technical reports. One record per geological unit, not per document.
- Age, lithology, depositional environment, contacts, mineral potential — all with source and confidence score
- When two articles disagree, the system detects and logs the conflict instead of overwriting
- Multilingual framework: SGB/CPRM, BRGM, BGS and any geological survey
- Foundation for AI systems: LLMs, exploration copilots, metallogenic analysis
Example: Serra Geral Formation
Age: 135–97 Ma · Main lithotype: dacite
Full traceability to every source document
Cross-Survey Integration
CPRM & BRGM Data Correlation
Brazil's SGB/CPRM uses structured fields. France's BRGM compresses everything into free text. LLMs bridge this gap at scale.
Fields Extracted from Free Text
Before (BRGM raw)
"Ensemble carbonaté massif comprenant des calcaires bleus… Monts de Lacaune — Lower Cambrian"
After (structured)
Prospectivity
2,000 Metallogenic Models as Geoprocessing Rules
Theoretical metallogenic models transformed into executable spatial analysis rules by LLM agents.
Model Compilation
2,000 metallogenic models compiled via bibliographic research and RAG techniques, covering skarns, orogenic gold, porphyry systems, and more.
Rule Translation
LLM agents convert theoretical models into executable geoprocessing rules. Example: create 200m halo around microgranite, clip with carbonate rocks.
Spatial Execution
Sequential spatial queries: buffer → intersect → clip → rank. The model translates geological models into automated processing steps.
Validation
Results validated against known occurrences. Rules refined and expanded to new regions — South America and Africa.
GIS + AI
Natural Language GIS Queries
An interface for searching 1,594 South American mineral deposits using natural language. Translates questions to SQL, maps results, and generates contextualised geological analysis.
Example query:
"Where are the largest copper deposits in Chile?"
→ AI generates SQL · maps results · provides geological insights
Need geological data integration?
Whether correlating surveys, building a lithostratigraphic foundation, or translating metallogenic models — we can help.
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