Stellerus Technology operates a low‑cost, high‑spectral remote‑sensing satellite constellation that continuously gathers atmospheric and surface data, which it fuses with ground and meteorological observations using physics‑guided AI models.
Funding
Funding not disclosed
Founders
Product
Problem
Accurate, timely climate and environmental data are essential for managing energy assets, assessing disaster risk, and meeting carbon‑reduction targets, yet traditional observation networks are sparse, expensive, and often lack the spatial and temporal resolution needed for precise forecasting.
Solution
Stellerus Technology operates a constellation of low‑cost, high‑spectral remote‑sensing satellites that continuously collect atmospheric, surface, and land‑use data. Proprietary AI models, trained on this proprietary satellite‑ground data fusion, transform raw observations into actionable climate products such as solar‑PV and wind‑power generation forecasts, greenhouse‑gas emission estimates, short‑term weather nowcasts, and flood or landslide risk alerts. These services are delivered via a cloud‑based ClimaTech platform that provides APIs and dashboards for integration into grid‑management systems, disaster‑response workflows, and carbon‑accounting tools, enabling users to make data‑driven decisions without deploying their own sensing infrastructure.
Target Audience
Primary customers include utility operators, renewable‑energy developers, disaster‑management agencies, and financial or insurance firms that require high‑precision climate analytics for asset optimization, risk mitigation, and regulatory compliance.
Features
- High‑spectral, multi‑angle satellite imagery captured by a dedicated low‑cost constellation, providing global coverage with frequent revisit times
- Physics‑guided large AI models that fuse satellite, ground, and meteorological data to generate high‑resolution forecasts (minutes‑scale, kilometer‑scale) for solar irradiance, wind speed, and short‑term weather
- Automated greenhouse‑gas inversion algorithms delivering CO₂ and CH₄ emission maps for carbon‑budget monitoring and verification
- Real‑time flood and landslide risk modeling using digital‑twin simulations that incorporate rainfall forecasts, terrain, and drainage infrastructure
- Cloud platform with RESTful APIs and web dashboards for seamless integration into energy management, insurance, and governmental risk‑assessment systems
- Scalable subscription architecture allowing users to access specific product modules (e.g., PV power prediction, wind power prediction, climate risk alerts) on demand