AERIS is an experimental environmental intelligence platform designed to fuse satellite data, AI forecasting, and decision support for atmospheric hazards.
AI models analyze multi-sensor satellite data streams to detect anomalies and emerging hazards.
Risk dashboards and alerting pipelines create actionable intelligence for agencies and responders.
Cross-sensor fusion aligns NO₂, SO₂, aerosol, and dust datasets into unified hazard indices.
Upcoming work includes validated EO datasets, uncertainty quantification, and operational pilots.
AERIS is under active development. The full research codebase and real-time monitoring engine are published separately on GitHub.