HyperLocal Weather Intelligence Engine
AI-powered 2 km weather forecasts for early action
The HyperLocal Weather Intelligence Engine turns coarse global weather forecasts into detailed 2 km local forecasts using AI. Its ORBIT2 model downscales a full 7-day forecast in minutes — a task that would take conventional weather models hours — producing temperature, rainfall, wind and humidity at a fraction of the computing cost. The high-resolution forecasts resolve the local detail (mountains, coastlines, microclimates) that global models miss, strengthening early warning for floods, drought and extreme heat. It is designed to run on modest hardware.
Hyperlocal forecasts for early warning
Level 3 – Advanced
Meteorological services, disaster-management agencies, agriculture ministries, farmers' organisations & energy/agri-tech companies
AI weather-forecasting engine (data via API/SFTP)
Why use this tool?
- Get 2 km hyperlocal forecasts of temperature, rain, wind and humidity capturing the local detail that matters
- Produces a full 7-day forecast in a few minutes on a single GPU, at over 90% less compute than conventional high-resolution modelling
- Strengthens early warning for floods, drought and extreme heat, giving communities more time to prepare
- Verified across Kenya, Ghana and Zimbabwe — matching or beating the global baseline, with the biggest gains in rainfall placement
Get started
Sample forecasts and API access are available on request.
Sample forecasts / API access
Where has it worked already?
Trained and validated for the three SAFE4ALL pilot countries — Kenya, Ghana and Zimbabwe — verified against ground stations and reanalysis over a multi-month period (2025–2026).
Developed by
This tool was developed by Neuralio AI (Thessaloniki, Greece), within the SAFE4ALL project (Horizon Europe). The material was last updated in June 2026.
For any questions, feel free to contact Theano Mamouka at thmamouka@neuralio.ai. Technical lead: Stelios Kotsopoulos (skotsopoulos@neuralio.ai).
