Brazilian geological landscape associated with mineral exploration

A new frontier in rare earths

Brazil's rare earth future

Q: What are rare earth elements, and why are they strategic?

They are 17 chemical elements used in technologies such as permanent magnets, electric motors, wind turbines, electronics, and medical equipment, according to Brazil's Ministry of Mines and Energy.

Q: How does technology support exploration?

The platform combines remote sensing, geology, geochemistry, and field validation in a comparable, traceable workflow. It guides the investigation but does not replace mineral exploration, laboratory analysis, or economic assessment.

Q: Does Brazil have the world's second-largest reserve?

Yes. The USGS estimates that Brazil has 21 million metric tons of reserves in 2026, second only to China. This national figure does not classify any specific area or target as a mineral resource or reserve.

Q: Is a prioritized target already a mineral reserve?

No. Brazil's National Mining Agency distinguishes exploration potential, mineral resources, and mineral reserves. A prioritized target still requires research, data, qualified technical responsibility, and assessment before any statement about resources, reserves, or viability.

Q: How can I learn about the capital round?

Request and review the offering documents, intended use of funds, risks, eligibility requirements, and applicable terms. Early-stage investments may involve low liquidity and the loss of invested capital.

Brazil: 21 million t

21 million t, according to the USGS 2026.

Brasil Terras Raras brings together remote sensing, geology, geochemistry, and fieldwork to expand Brazil's rare earth exploration capabilities.

Explore the project

About the project

Brazil at the center of rare earths

21 million t

Brazilian reserves estimated by the USGS in 2026

21 million t

Brazilian reserves estimated by the USGS in 2026

21 million t

Brazilian reserves estimated by the USGS in 2026

17 elements

15 lanthanides, yttrium, and scandium

17 elements

15 lanthanides, yttrium, and scandium

4 sources

Remote sensing, geology, geochemistry, and fieldwork

4 sources

Remote sensing, geology, geochemistry, and fieldwork

1 workflow

Traceable target prioritization

1 workflow

Traceable target prioritization

Proprietary technology

A new workflow for rare earths

Explore the project

Geologist examines minerals in a Brazilian rock outcrop

Multiscale analysis

We combine satellite imagery, terrain, and mapping to identify structures associated with mineralized systems.

Remote sensing

Regional scale

Multiscale analysis

We combine satellite imagery, terrain, and mapping to identify structures associated with mineralized systems.

Remote sensing

Regional scale

Multiscale analysis

We combine satellite imagery, terrain, and mapping to identify structures associated with mineralized systems.

Remote sensing

Regional scale

Team collects soil samples during a geological field campaign

Geological intelligence

We combine geochemical, mineralogical, and structural signals into a traceable view of mineral favorability.

Integration

Traceability

Geological intelligence

We combine geochemical, mineralogical, and structural signals into a traceable view of mineral favorability.

Integration

Traceability

Geological intelligence

We combine geochemical, mineralogical, and structural signals into a traceable view of mineral favorability.

Integration

Traceability

Geologist analyzes drill core in a laboratory

Targeted validation

We take prioritized hypotheses into the field to measure, sample, review, and learn.

Evidence

Data-guided fieldwork

Targeted validation

We take prioritized hypotheses into the field to measure, sample, review, and learn.

Evidence

Data-guided fieldwork

Targeted validation

We take prioritized hypotheses into the field to measure, sample, review, and learn.

Evidence

Data-guided fieldwork

Satellite imagery analysis applied to mineral exploration

How we investigate

Technology for field decisions

Drone maps rock outcrops on a Brazilian plateau

Remote sensing

Multispectral imagery and terrain models help identify structures associated with rare earth targets.

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05 [ Keep exploring ]

Geologist documents structures in a rock outcrop

How we investigate

Technology for field decisions

Data integration

Geology, geochemistry, terrain, and remote sensing are combined in a comparable, traceable dataset.

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05 [ Keep exploring ]

Airborne geophysical survey over Brazilian terrain

How we investigate

Technology for field decisions

XRF analyzer measures the composition of a mineral sample

Mineral favorability modeling

Favorability models rank areas by converging evidence without confusing a target with a reserve.

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05 [ Keep exploring ]

Specialist operates rare earth element analysis equipment

How we investigate

Technology for field decisions

Geoscientists interpret a three-dimensional geological model

Targeted field campaign

Georeferenced field campaigns test prioritized targets through observation, sampling, and contextual control.

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05 [ Keep exploring ]

How we investigate

Technology for field decisions

Continuous learning

Field and laboratory results recalibrate the model and improve the precision of each new cycle.

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05 [ Keep exploring ]

How we investigate

Technology for field decisions

Remote sensing

Multispectral imagery and terrain models help identify structures associated with rare earth targets.

Data integration

Geology, geochemistry, terrain, and remote sensing are combined in a comparable, traceable dataset.

Mineral favorability modeling

Favorability models rank areas by converging evidence without confusing a target with a reserve.

Targeted field campaign

Georeferenced field campaigns test prioritized targets through observation, sampling, and contextual control.

Continuous learning

Field and laboratory results recalibrate the model and improve the precision of each new cycle.

How we investigate

Technology for field decisions

Remote sensing

Multispectral imagery and terrain models help identify structures associated with rare earth targets.

01/

05 [ Keep exploring ]

How we investigate

Technology for field decisions

Data integration

Geology, geochemistry, terrain, and remote sensing are combined in a comparable, traceable dataset.

02/

05 [ Keep exploring ]

How we investigate

Technology for field decisions

Mineral favorability modeling

Favorability models rank areas by converging evidence without confusing a target with a reserve.

03/

05 [ Keep exploring ]

How we investigate

Technology for field decisions

Targeted field campaign

Georeferenced field campaigns test prioritized targets through observation, sampling, and contextual control.

04/

05 [ Keep exploring ]

How we investigate

Technology for field decisions

Continuous learning

Field and laboratory results recalibrate the model and improve the precision of each new cycle.

05/

05 [ Keep exploring ]

Scaling thesis

Capital to validate technology and targets

The capital round is intended to fund platform development, geological field campaigns, and laboratory analysis. Any participation is subject to eligibility, applicable terms and documents, and a careful assessment of risk.

Proprietary technology

Dataset integration, evidence versioning, and expanded analytical capacity.

Fieldwork and laboratory

Georeferenced field campaigns, laboratory analysis, and progressive target validation.

Predictive geological map on a field tablet

Our method

From territory to rare earth targets

Step 01

Build a structured view of the territory

We combine remote sensing, terrain, geological mapping, geochemistry, and available public data.

Step 01

Build a structured view of the territory

We combine remote sensing, terrain, geological mapping, geochemistry, and available public data.

Step 02

Prioritize targets through evidence

The model compares structures, signatures, and anomalies to rank areas by mineral favorability.

Step 02

Prioritize targets through evidence

The model compares structures, signatures, and anomalies to rank areas by mineral favorability.

Step 03

Test hypotheses in the field

The team measures, samples, and reviews each hypothesis before defining the next investigation cycle.

Step 03

Test hypotheses in the field

The team measures, samples, and reviews each hypothesis before defining the next investigation cycle.

Exploration in the field

Where data meets geology

Aerial view of a Brazilian lateritic plateau

Close view of a mineral sample under laboratory light

Operator launches a drone for remote sensing

Geological samples organized for chain of custody

Petrographic analysis of a rock thin section

Stream sediment sampling in a preserved area

Technical expertise

Expertise across integrated exploration

Applied geology

Interpretation of geological context, structures, and mineralized systems.

Remote sensing specialist analyzes geophysical data

Remote sensing and territory

Remote sensing, geospatial processing, and territorial intelligence.

Data and modeling

Favorability models, target prioritization, and evidence traceability.

Criteria

Rigor before any promise

Criteria that distinguish geological potential, targets, resources, reserves, and viability.

A target advances only when multiple lines of evidence converge.
Convergence
Multiple lines of evidence, one hypothesis
Fieldwork tests the model, corrects hypotheses, and improves the next decision.
Validation
Evidence before conclusions
Targets, resources, reserves, and viability are distinct stages.
Clarity
Potential is not viability
Every sample retains its origin, context, and chain of custody.
Traceability
From sample point to model

A target advances only when multiple lines of evidence converge.
Convergence
Multiple lines of evidence, one hypothesis
Fieldwork tests the model, corrects hypotheses, and improves the next decision.
Validation
Evidence before conclusions
Targets, resources, reserves, and viability are distinct stages.
Clarity
Potential is not viability
Every sample retains its origin, context, and chain of custody.
Traceability
From sample point to model

A target advances only when multiple lines of evidence converge.
Convergence
Multiple lines of evidence, one hypothesis
Fieldwork tests the model, corrects hypotheses, and improves the next decision.
Validation
Evidence before conclusions
Targets, resources, reserves, and viability are distinct stages.
Clarity
Potential is not viability
Every sample retains its origin, context, and chain of custody.
Traceability
From sample point to model

Questions

Rare earths: project and capital

What is the role of Brasil Terras Raras?

Brasil Terras Raras brings together technology, data, and fieldwork to expand Brazil's mineral exploration capabilities. Its platform integrates remote sensing, geology, geochemistry, and field validation to prioritize targets with traceability.

What are rare earth elements, and why are they strategic?

How does technology support exploration?

Does Brazil have the world's second-largest reserve?

Is a prioritized target already a mineral reserve?

How can I learn about the capital round?

What is the role of Brasil Terras Raras?

What are rare earth elements, and why are they strategic?

How does technology support exploration?

Does Brazil have the world's second-largest reserve?

Is a prioritized target already a mineral reserve?

How can I learn about the capital round?

Team plans a geological investigation using a field map

Sunrise over Brazilian crystalline terrain