50% better forecasts,
powered by AI
EarthCare.ai's engineers have developed state-of-the-art AI models that are able to deliver key meterological forecasts down to an building level.
With the combination of user-provided sensor data, and in-house built AI, receive data up to 50% more precise than existing forecasting models.
Hyper-local, not regional
Existing forecast models operate globally on resolutions between 1km2 and 20km2, which is far from useful, especially in industries where precision matters.
We turn global forecasts into hyper-local ones by combining sensor data from ground assets, our treasure trove of weather data, and tailor made AI models.
Our models can see difference a building or a tree makes, how is that for hyper-local?
meteo variables
minutes
better accuracy
One Forecast API,
Speedy Integration
Data Types
From temperature to wind speed, pressure to solar irradiance, our AI models can forecast up to 25 different meteorological variables.
Data Resolution
Temporal
- Hourly updates, possibility for sub-hourly update intervals on some variables
- Up to 72 hours ahead on each run of the AI model
Spatial
- Down to an asset/building level
Data Sources
We combine your on-site sensor data (if existing) with nearby weather stations, and a range of forecasts from high end global models including ECMWF, Météo-France, UK Met Office & DWD.
Load Limits
EarthCare.ai has robust, auto-scaling API that can handle as many forecasting locations as needed, as well as fast access to forecasts.
Documentation
Get in touch with our team and we’ll gladly walk you though implementation details and examples.
Use Cases
Use Cases
Energy Forecasting
Infrastructure Monitoring
E-commerce Trends
Book a Demo Call
Our team has over 10 years of experience with weather and climate data. Our work has been featured in Forbes, BBC, The Guardian, NY Times, Washington Post, WIRED...
Book a meeting with us to discuss your exact use-case, and how EarthCare.ai can bring you value.