TerraLens transforms satellite Earth observation data into actionable intelligence through its RADIAN platform, which automates image analysis for security and infrastructure monitoring. The platform combines synthetic aperture radar (SAR) and visual imagery from diverse sensors, enabling change detection and target recognition regardless of weather or daylight conditions. Deployed on-premise with GPU-optimized algorithms, RADIAN processes large datasets rapidly while maintaining full data sovereignty for defense and government users.
Funding
Funding not disclosed
Founders
Product
Problem
Defense and security organizations face challenges in extracting timely, actionable intelligence from the growing volume of satellite Earth observation data. Traditional image analysis methods are labor-intensive, slow, and struggle to integrate data from diverse sensor types, particularly synthetic aperture radar (SAR) which can see through clouds and at night. This delays critical decision-making in time-sensitive security and infrastructure monitoring scenarios.
Solution
TerraLens provides RADIAN, an imagery intelligence platform that automates the analysis of satellite data to deliver rapid, actionable insights. The platform leverages commercial and public SAR sensors for day-and-night, all-weather imaging, combined with advanced visual image processing algorithms from partners. RADIAN automates target recognition and infrastructure monitoring by turning large volumes of visual data into clear, color-coded change detection products. Deployed on-premise, the platform ensures data sovereignty while its GPU-optimized algorithms enable fast processing of large datasets without requiring deep technical expertise from users.
Target Audience
Primary customers are defense and security agencies, as well as infrastructure monitoring organizations that require rapid, reliable intelligence from satellite imagery for time-sensitive decision-making.
Features
- Automated SAR and visual image analysis for target recognition and infrastructure monitoring
- Color-coded change detection system that simplifies identification of ground changes between satellite passes
- On-premise deployment architecture ensuring full data sovereignty and operational control
- NVIDIA GPU-optimized algorithms for high-performance processing of large Earth observation datasets
- Multi-sensor data fusion supporting seamless combination of diverse commercial and public satellite sources
- Intuitive user interface designed for rapid adoption without requiring deep technical expertise