Minas Gerais

Minas Gerais Systems

A Mining Intelligence Platform for turning geological data into exploration and mining decisions.

From legacy maps and surveys to organized geospatial data and AI-driven prospect targeting. One platform connects data ingestion, knowledge management, and decision support into a single exploration and mining workflow.

The Problem

Geological data is messy. Decisions shouldn't be.

Exploration teams sit on decades of valuable geological knowledge — hand-drawn maps, scanned reports, survey forms, PDFs, geophysical grids, and field notes. But most of this data is unstructured, hard to search, not georeferenced, and impossible to use in modern analytics or ML workflows.

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Fragmented Archives

Critical data scattered across file cabinets, hard drives, and legacy databases with no unified access.

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Unstructured Maps & PDFs

Hand-drawn maps, scanned reports, and field sketches that can't be queried, overlaid, or used in models.

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No Searchable Catalog

No way to ask "show me all lithology maps with gold occurrences in this belt" across your entire data estate.

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Insight Locked in Legacy Formats

Decades of geological knowledge trapped in formats that modern ML and analytics tools can't consume.

The Platform

From messy geology to clean, usable intelligence.

One platform, three tightly integrated layers that turn unstructured geological artifacts into organized knowledge and evidence-driven exploration and mining decisions.

Maps & Surveys arrow_forward GeoIngest arrow_forward TerraVault arrow_forward Ground Truth arrow_forward Exploration and Mining Decisions
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GeoIngest

Ingest & Understand

Converts messy inputs — photos of maps, scanned PDFs, geophysical grids, geochem tables, and field notes — into clean, structured spatial data.

  • CV-powered perspective correction & georeferencing
  • Auto-classification: map, form, report, table
  • OCR + layout extraction for legacy documents
  • Supports geophysics, geochem, hyperspectral, hydrology
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TerraVault

Catalog & Govern

The geological data catalog and knowledge registry for all processed assets — searchable, versioned, and spatially indexed.

  • Search by region, commodity, data type, scale
  • Dataset versioning and provenance tracking
  • Spatial indexing with PostGIS
  • ML-ready training views and curated exports
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Ground Truth Engine

Mining Intelligence

The decision engine that turns organized geological knowledge into exploration and mining intelligence across all scales.

  • Regional prospectivity mapping
  • Target screening and hypothesis testing
  • Cost-aware "what data next" recommendations
  • 3D conceptual modeling and drill planning

How It Works

01

Ingest Everything

Upload maps, scans, PDFs, geophysical grids, geochem tables, or field photos. GeoIngest routes each input through the right CV, OCR, and geospatial pipeline — automatically.

02

Organize Knowledge

TerraVault catalogs every processed dataset with spatial indexing, provenance, and versioning. Your geological data becomes searchable, trustworthy, and ready for analysis.

03

Drive Intelligent Decisions

Ground Truth synthesizes data into prospectivity maps, target rankings, drill plans, and uncertainty analysis — from regional scale down to individual drillholes.

Concept Demo

Experience the full platform workflow

Walk through a guided exploration and mining session: ingest data, browse the catalog, and run the intelligence engine from regional prospectivity to drill targeting.

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Built For

Modern Exploration and Geoscience Teams

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Exploration Teams

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Mining R&D

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Geological Surveys

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Data Teams

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Researchers

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Investors & Partners

Vision

Toward cost-aware, uncertainty-driven exploration and mining

We're building a platform where every data investment is evaluated by its ability to reduce geological uncertainty. Future capabilities include integration with survey providers, automated hypothesis refinement, and real-time model updating as drill results arrive.

Want to explore this further?

We're looking for exploration and mining teams, innovation groups, and partners interested in shaping the next generation of geological data infrastructure.