Radar-Native AI for Real-Time Storm Intelligence
Weather radar data is one of the most valuable environmental datasets in the world — yet it remains largely unusable at scale. We are changing that.
The Problem
Decades of severe weather radar data exist, but there is no easy way to use it. Currently, there is no consistent, long-term, high-resolution, radar-based view of severe weather and hydrologic risk. Furthermore, there are no advanced AI models that turn this massive volume of raw radar data into decision-ready guidance for insurance, infrastructure, or emergency management.
AtmoScale’s Core Solution
Radar DataTree Platform
We transform raw radar files into structured, AI-ready datasets. Our platform allows for seamless ingestion and processing, enabling fast access to years of archival radar data.
Radar-Based Risk Intelligence
Using cutting-edge algorithms, we provide real-time storm intelligence and a high-resolution historical view of severe weather patterns to support long-term planning and infrastructure resilience.
AI Decision Support
We turn radar signals into decision-ready guidance. Our real-time storm encoders and confidence scores provide actionable insights for severe weather detection, tracking, and nowcasting.