Mineral Mapper

AI-driven geospatial analytics maps mineral distributions from multispectral and hyperspectral satellite and drone imagery, reducing exploration risk and accelerating deposit discovery.

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How does it work?

Exploration geologists face high costs and time delays from manual sampling and low-resolution surveys, often leading to missed deposits. AI-driven mineral mapping integrates multispectral data and machine learning to reveal subtle spectral signatures, guiding precise drilling and reducing financial risk.

High-Resolution Mapping: Our platform processes multispectral and hyperspectral imagery to generate detailed mineral distribution maps. This precision reveals small-scale deposits that traditional surveys often miss.
Reduced Exploration Risk: Machine learning algorithms identify anomalous spectral patterns linked to specific minerals, reducing guesswork in target selection. This focused approach lowers drilling costs and environmental impact.
Rapid Data Processing: Automated workflows analyze terabytes of satellite and drone data within hours. Faster insights accelerate decision-making and shorten project timelines.
Integrated Geospatial Layers: Mineral maps overlay seamlessly with topography, geochemistry, and structural data in a unified GIS environment. Combined analysis improves geological context and target validation.
Scalable Deployment: Cloud-native architecture supports continuous processing of global imagery at any scale. Operators can expand coverage from local concessions to regional surveys without infrastructure constraints.
Customizable Workflows: Users tailor analytical models and thresholds to specific mineral types and geologies. This flexibility ensures relevant outputs for diverse exploration scenarios.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this method compare to traditional geochemical sampling?: AI-based mapping analyzes spectral data over large areas without extensive field campaigns, reducing time and cost. However, it complements rather than replaces ground sampling for validation.
Why is mineral mapping popular among exploration teams?: Teams favor this approach for its ability to rapidly highlight targets and optimize drilling plans. Its integration with existing GIS tools streamlines geological workflows.
What are the limitations of hyperspectral versus multispectral imagery?: Hyperspectral data offers finer spectral resolution for precise mineral identification but requires more storage and processing power. Multispectral imagery is more accessible but may miss subtle spectral features.
Can this AI mapping replace airborne geophysical surveys?: AI geospatial mapping provides complementary surface composition insights but does not measure subsurface physical properties like magnetic or gravity methods. Best practice combines both data types for comprehensive exploration.
How does AI mapping compare to manual interpretation?: AI automates pattern recognition at scale, reducing human bias and processing time. Experienced geologists still review and refine interpretations to ensure geological relevance.
What alternative approaches exist for mineral identification?: Alternative methods include field spectroscopy, laboratory assays, and airborne hyperspectral sensors. Each technique offers different trade-offs in resolution, cost, and coverage.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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