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Empowering your use case
The Jua model is popular for hundreds of use cases in different industries - all the way from weather forecasting to enterprise-scale energy procurement. Contact us to discuss your use case.
A new paradigm in weather forecasting. Introducing The Jua Model, an end-to-end AI-powered global weather model with prediction accuracy beyond imagination.
Stop merging different regional models such as the American or European model and rely on one global weather model for all your use cases
Introducing prediction accuracy that makes forecasts feel like measurements. Jua’s model has better accuracy for 48 hours into the future than leading numerical models for 12 hours.
Based on its 1 km2 spatial resolution, the Jua model empowers you with high-precision forecasts - e.g. for regions with microclimates.
Predicting weather on a five minutes temporal resolution, so you know when the weather changes. That’s up to 12x more frequently than a forecast based on a leading numerical model.
The Jua model doesn't use modeling such as the GFS or IFS. It is not a post-processed model but it is a 100% AI-powered weather model that leverages primary data sources.
Our technology unlocks powerful new use cases for post-processors, enterprise customers, consultancies, and many more.
This is the most accurate weather model I have ever seen.”
Increase the value for your B2B customers with high-accuracy data and surprise your B2C app users with reliable forecast for complex topographies such as coastal stripes or mountains.
Improve your electricity generation forecasts to inform grid providers or do better electricity & commodity trading.
Creating one global high resolution model including places where observation infrastructure is scarce.
The Jua model is popular for hundreds of use cases in different industries - all the way from weather forecasting to enterprise-scale energy procurement. Contact us to discuss your use case.
If you are as excited as we are at what you can achieve with Jua as a customer or by joining our team, get in touch. Let's talk.
