What GEOAI is
GEOAI is the proprietary data and intelligence infrastructure developed by Brasil Terras Raras to support the identification, classification, and prioritization of critical-mineral opportunities.
The system operates at a specific stage of the mineral chain: recognizing, across large territorial extents, which areas have enough evidence to justify deeper investigation. It does not replace geological research, sampling, diligence, or investment decisions.
The technology thesis
Relevant information is rarely concentrated in one source. It appears in surveys from different periods and scales, public and private datasets, orbital imagery, academic studies, historical records, and territorial data.
GEOAI treats this fragmentation, relates evidence, and produces comparable intelligence. The relevance of each input varies by mineral, region, analytical objective, and the availability and quality of data.
Analyzed dimensions
| Dimension | Object of analysis |
|---|---|
| Geology | Lithological, structural, and evolutionary compatibility with the mineral model. |
| Geochemistry and mineralogy | Element distribution, associations, samples, and mineral evidence. |
| Geophysics | Contrasts and structures observed through magnetometry, radiometry, gravimetry, and related surveys. |
| Remote sensing | Orbital products, spectral analyses, radar, terrain, and derived indices. |
| Mineral history | Known occurrences, previous work, and regional technical records. |
| Territorial intelligence | Land configuration, access, area size, and structuring conditions. |
| Regulatory intelligence | Mining status, applications, titleholders, procedural stages, and availability. |
| Environmental intelligence | Applicable restrictions, conditions, and protected territories. |
| Infrastructure | Access, energy, logistics, roads, railways, ports, and connectivity. |
| Economics | Relative attractiveness, entry cost, capital needs, and development potential. |
Layer integration
Layers are not evaluated independently. GEOAI looks for convergence, inconsistency, and spatial relationships that change each area's priority. Geological evidence may become more relevant when accompanied by compatible geochemical and geophysical signals; a technically promising area may be reclassified because of territorial, regulatory, or environmental restrictions.
This integrated reading turns dispersed information into a comparable classification and guides subsequent analysis stages.
Public transparency and restricted components
General data categories, methodological principles, evaluation criteria, and consolidated indicators may be disclosed to support understanding of the platform.