Intelligence for the Open Sky
Delivering life-saving accuracy — even where the radar can’t reach.
Built for open lands. Powered by AI. Verified within the 3-hour mark.
Our Mission
AERI exists to make severe-weather awareness accessible to everyone — especially those in rural and open-land regions left behind by traditional systems. Using physics-based sensing and artificial intelligence, AERI turns phones, homes, and local stations into a living network that learns and warns faster.
“To give every person, no matter where they live, a fair warning.”
The 3-Hour Standard
Our tornado-detection models achieve breakthrough accuracy within a three-hour horizon — analyzing atmospheric pressure signals, thermal gradients, and live device data. Every prediction is validated in real-time and used to train the system, creating a continuously improving intelligence network.
0 → 3 hours ahead — verified precision alerting
Targeting the Unseen
Most tornadoes strike where few sensors exist. AERI was built to change that. Our network reaches open fields, farmlands, and isolated communities by learning directly from local data instead of distant radar beams.
- Open-Land Data Network — Atmospheric sensing where coverage is weakest.
- Rural Precision — Region-specific AI tuned for local conditions.
- Bias Correction — Continuous recalibration using verified outcomes.
We build intelligence where others see emptiness.
Our Future
AERI’s long-term goal is a nationwide learning mesh — a self-calibrating system combining satellites, ground sensors, and real-world observations. Every data point improves our understanding of the atmosphere.
In time, this will form the world’s first adaptive severe-weather model, giving equal warning power to every person, from dense cities to silent plains.
Join the Movement
Researchers
Collaborate with AERI Cloud on open severe-weather data and AI validation.
Communities
Adopt AERI alerts in your area to improve local preparedness.
Supporters
Help fund sensors, data outreach, and rural storm-education programs.