TerraEye provides an AI-powered SaaS platform for mineral exploration, enabling rapid processing of satellite data for spectral analysis and mineral mapping. Its machine learning algorithms generate prospectivity maps and bare earth composites, accelerating target identification and reducing the need for extensive field work.
Funding
Funding not disclosed
Founders
Product
Problem
Mineral exploration projects face challenges in efficiently acquiring and analyzing vast amounts of satellite data, leading to increased operational costs and delayed decision-making. Traditional methods often lack the precision and speed required to identify promising geological targets and monitor environmental impacts effectively.
Solution
TerraEye offers an AI-powered Software-as-a-Service (SaaS) platform that streamlines satellite data processing for mineral exploration. The platform ingests diverse geospatial data, including optical and SAR imagery, and applies proprietary machine learning algorithms for spectral analysis and mineral mapping. Users can define their Area of Interest (AOI) and receive processed data, such as mineral maps and prospectivity scores, within minutes. This enables geologists and exploration teams to visualize results, integrate findings into their workflows, and make data-driven decisions to optimize exploration strategies and reduce the need for costly field expeditions.
Target Audience
The primary customers are mining companies, geological consultants, and research institutions involved in mineral exploration and environmental monitoring.
Features
- AI-driven spectral analysis and mineral mapping utilizing hyperspectral and multispectral satellite data.
- Bare Earth Composite (BEC) generation to remove vegetation and surface cover for clearer geological surface visualization.
- Prospectivity mapping powered by machine learning algorithms to identify high-potential exploration targets based on geological and geophysical datasets.
- Mining area segmentation models for tracking excavations, stockpiles, and tailings storage facilities, supporting environmental monitoring and ESG reporting.
- InSAR (Interferometric Synthetic Aperture Radar) processing for precise ground deformation monitoring, crucial for infrastructure safety and subsidence analysis.
- Digital Twin Platform for creating immersive, data-rich digital representations of exploration sites, integrating various sensor data for real-time monitoring and advanced analytics.
- API integration for seamless data access and incorporation into existing exploration workflows.
- Customizable reporting options, ranging from basic spectral indices to advanced AI-driven prospectivity mapping.