STAR.VISION provides space‑based computing and advanced AI services for satellite remote sensing. Its platform delivers 300 km single‑pass coverage, on‑board AI with 400 TOPS of processing power, and a hyperspectral payload offering 22 spectral bands for real‑time region‑of‑interest extraction and spectral fingerprinting across continental‑scale areas.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional satellite remote sensing relies on ground‑based processing and narrow swath widths, resulting in delayed data delivery and limited coverage of large geographic areas. This latency hampers timely decision‑making for applications such as agriculture, environmental monitoring, and security that require frequent, high‑resolution observations.
Solution
STAR.VISION operates a constellation of satellites that embed 400 TOPS of on‑board AI processing, enabling real‑time extraction of regions of interest and spectral fingerprinting directly in orbit. Each satellite provides a 300 km single‑pass swath, delivering continental‑scale coverage with sub‑10 m geolocation accuracy and 0.0005°/s attitude stability. The hyperspectral payload offers 22 spectral bands, supporting detailed material identification across diverse scenarios. Processed analytics are transmitted to users as ready‑to‑use products, eliminating the need for extensive ground‑side computation and reducing the time from acquisition to insight. The platform is designed for continuous, high‑frequency monitoring, allowing customers to obtain up‑to‑date information for operational and strategic decisions.
Target Audience
Primary customers include government agencies, commercial enterprises, and research institutions that require frequent, high‑resolution satellite imagery for agriculture, environmental monitoring, infrastructure management, and security applications.
Features
- 300 km extra‑wide swath per pass for rapid, large‑area mapping
- On‑board AI engine delivering 400 TOPS of processing power for real‑time ROI extraction
- Hyperspectral sensor with 22 spectral bands for detailed spectral fingerprinting
- Sub‑10 m geolocation accuracy combined with 0.0005°/s attitude stability
- Direct in‑orbit data processing reduces downlink volume and latency
- Ready‑to‑use analytics delivered to end users without ground‑side processing