AI-powered satellite spectral targeting for mineral exploration and mine monitoring

TerraEye is a cloud-based SaaS platform that combines multispectral, hyperspectral, and SAR data from multiple satellite constellations (Sentinel-2, NASA ECOSTRESS, commercial providers) with AI and machine-learning algorithms — including PCA, K-means clustering and edge detection — to deliver lithological maps, lineament analysis, rock-outcrop locations and spectral-index mineral layers within minutes. Geologists select a target area and minerals; the platform returns evidence-based, explainable maps showing which layers were used and why. A built-in mine-monitoring module (MineCam) tracks vegetation, subsidence, water, and chlorophyll changes with 3–5 day update cycles. Users access results through interactive web dashboards and open REST APIs for integration with existing exploration and GIS workflows. Aimed at junior through major mining and exploration companies, with round-the-clock support and ~90 % accuracy versus traditional remote-sensing consultancy.
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Space data in
Processing
Insight Generation

TerraEye
Provides AI-powered satellite-data analytics that accelerate mineral exploration and environmental monitoring by transforming EO imagery into actionable geological insights through a browser-based, API-enabled SaaS platform.
2022
Founded
11-50
Team size
176
Country
Converts analysis into context-rich, actionable insights.
Delivered as
System Integration
Embeds data and insights into existing systems and workflows.