Stelleo converts satellite, aerial and LiDAR data into actionable intelligence for SMEs, local governments and environmental organisations across the EU, helping them protect infrastructure, communities and natural resources.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that manage infrastructure, agricultural assets, or natural resources often lack timely, high‑resolution geospatial information, making it difficult to anticipate weather impacts, monitor forest health, or respond quickly to environmental changes.
Solution
Stelleo processes satellite, aerial, and LiDAR imagery with a combination of long‑standing geospatial expertise and modern AI algorithms to deliver real‑time intelligence. Its ASPIS product provides hyper‑local weather automation on a sub‑kilometre grid, issuing 15‑minute advance warnings and triggering IoT‑based protective actions. The ForeSat service extracts forest inventory, health metrics, and change‑detection insights from satellite data for forestry and conservation use cases. For geospatial service providers, the OptiFlow offering audits data‑processing pipelines, removes manual bottlenecks, and reduces cycle times by 10‑15 %. All outputs are delivered via cloud APIs that integrate with existing operational workflows.
Target Audience
Primary customers are small‑ and medium‑sized enterprises, local government agencies, and environmental NGOs that need actionable geospatial intelligence, as well as geospatial service firms seeking to improve their data‑processing efficiency.
Features
- Sub‑kilometre (≤1 km) weather grid with 15‑minute lead time for storm forecasts
- Automated IoT triggers that can activate protective measures (e.g., shutters, pumps) based on weather alerts
- Forest intelligence module delivering inventory counts, health indices, and change detection from satellite imagery
- AI‑driven analytics pipeline that fuses satellite, aerial, and LiDAR sources for up‑to‑date environmental insights
- OptiFlow engineering audit that streamlines geospatial data production, cutting processing cycles by 10‑15 % and optimizing software licensing
- Cloud‑based API and dashboard for seamless integration of weather and forest data into existing enterprise systems