"This is a moment for Europe to lead" – Swiss AI startup Jua targets climate resilience and European sovereignty
As adverse weather events and natural disasters become more frequent, billions are being poured into AI weather prediction models and software to help people mitigate the harm – as well as support renewable energy producers. The founder of Swiss startup Jua claims to have one of the best models yet, and says Europe’s prediction tech needs to be more self-reliant.

In late July, Zurich-based Jua released its latest EPT-2 commercial weather forecasting AI, which the company says blows away models from competitors and major players like Microsoft and DeepMind. EPT-2 – with its 'Large Physics Model' simulating the earth's atmosphere in real-time – claims unprecedented accuracy with considerably less computational power needed.
"Weather is upstream of almost every major societal system: energy, agriculture, transport, disaster response," Jua’s founder and CEO Marvin Gabler tells Impact Loop. "If you can predict better and earlier, you can act smarter and sooner."
Why weather prediction is at the heart of an impact economy
"This is a moment for Europe to not play catch-up, but to lead"
Weather prediction technology is crucial to many renewable energy and grid operators, who rely on accurate forecasts to optimise their production and trading strategies by anticipating how weather patterns impact both supply and demand.
Knowing the best times to engage systems can mean considerable reduction in waste and help optimise the prices of wind and solar energy. All the more important as the world’s weather systems become more volatile. According to Jua's calculations, the energy sector can stand to save billions of euros per year in avoided weather-related damages and inefficiencies. It can also help grid operators avoid mass blackouts such as those seen earlier in the year on the Iberian peninsula.
Weather prediction also has a big role to pay in climate adaptation and mitigation efforts over the next years, as climate change leads to more and more frequent adverse events such as flooding, droughts and heatwaves. Knowing when and where disaster might strike can help people avoid danger, and also reduce the cost of resilience and re-building, as well as limiting the damage to food supply systems.
Support from impact heavyweights
Jua raised around €10m in a Series A round earlier in 2025, led by impact mainstays Ananda and Future Energy Ventures, bringing the total fundraising to over €22m. "This is more than next-gen forecasting, it's a new way to understand and prepare for a rapidly changing world" said Ananda at the time of the fundraising.
Jua is now looking to establish itself as a world leader in weather-tech, and also help build up Europe's self-reliance when it comes to systems like this.
"Europe missed the first wave of the AI revolution," says Gabler. "Our leading models, compute capacity, and AI value creation all trail far behind the U.S. and China."
This in practical terms means many operators have to rely on models and software developed abroad to protect Europe’s sovereign interests. If the continent is not able to build up its own robust infrastructure, says Gabler, "we'll be depending on foreign models to tell us when our rivers flood, how to manage our grids, or where our food supply is threatened. That's not just risky, it's unacceptable."
Building up a sovereign weather prediction system
Being a wholly Europe-based venture, Jua stands to benefit from the phased introduction of the European Artificial Intelligence Act, much of which came into effect at the beginning of August. With its stringent compliance and auditing requirements, the act is likely to benefit home-grown companies, says Gabler, while putting up barriers to big tech firms that operate across various regulatory regimes around the world.
"This is a moment for Europe to not play catch-up, but to lead," says Gabler, "transitioning from classical numerical weather prediction to AI-native systems, and building the foundations of sovereign, societally critical infrastructure."
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