Jua Funding News – Swiss Startup Jua Secures €10 Million In Series A Funding
Jun 4, 2025 | By Kailee Rainse

Zurich-based startup Jua, which has developed what it calls the “world’s most advanced AI-based Earth simulation,” has raised €10 million in Series A funding.
SUMMARY
- Zurich-based startup Jua, which has developed what it calls the “world’s most advanced AI-based Earth simulation,” has raised €10 million in Series A funding.
The funds will help speed up the launch of its Earth Intelligence Platform, a tool that helps energy traders make better decisions by simulating how the physical world works.
The round was co-led by Ananda Impact Ventures and Future Energy Ventures, with continued backing from existing investors like 468 Capital, Promus Ventures, and others.
Marvin Gabler, CEO & Co-Founder of Jua, shared with EU-Startups his hopes for the future of the company: “With €10 million secured, we’re scaling the foundation for planetary intelligence, and it’s happening here in Europe. Building on ECMWF’s scientific legacy, Jua is proving that Europe can lead in building the most advanced AI systems for the real world.”
RECOMMENDED FOR YOU

Belgian VC Entourage Invested $3.25M in San Francisco-based OneCrew
Kailee Rainse
Nov 12, 2024

Sightline funding news – Market Intelligence Platform Sightline Secures $5.5Million in Funding
Kailee Rainse
Jan 27, 2025
Their platform is powered by EPT-2.0, a proprietary Large Physics Model trained on massive datasets. It offers highly accurate forecasts for weather, energy markets, and supply-demand trends.
According to Jua, independent tests show EPT-2.0 outperforms traditional weather models like ECMWF and even AI models from major tech firms such as DeepMind (GraphCast), Nvidia (Earth-2), and Microsoft (Aurora).
“Jua is building one of the most important technological foundations for our planet’s future,” said Florian Erber, General Partner at Ananda Impact Ventures. “The team combines world-class talent in AI and Earth science with the technical depth to execute at scale. We invest in ventures with deep, systemic impact: Jua is a standout example.”
Accurate weather forecasting is vital for industries like energy, agriculture, aviation, and shipping—it affects lives, infrastructure, and the economy. But Jua points out that traditional methods still depend on separate models and expert judgment.
As extreme weather events become more common and harder to predict, there’s a growing need for a smarter, AI-driven approach.
Jua’s Earth simulation offers that shift. Instead of piecing together fragmented forecasts, it uses a single, physics-based AI platform to deliver faster and more reliable insights across sectors.
As part of the funding news, Co-founder Marvin Gabler, the architect of EPT-2.0, has stepped in as CEO, taking over from Andreas Brenner. Under Gabler’s leadership, Jua plans to scale its platform in the energy sector and explore new markets.
“Jua is not just improving forecasts; they are redefining what’s possible,” added Jan Palasinski, Partner at Future Energy Ventures. “They’re establishing themselves as a category leader in foundational models of the natural world, exactly the kind of innovation needed to accelerate the energy transition.”
Jua raised €14 million in its Seed round in 2024. Some of its key investors are Siraj Khaliq (Founder of The Climate Corporation), Mehdi Ghiassani (former Head of Product at DeepMind), Ola Torudbakken (Director of AI Systems at Meta), along with 468 Capital, Green Generation Fund, and Promus Ventures.
“With our Earth Intelligence Platform, we’ve turned the world’s most advanced Earth simulation into a practical decision engine,” said Gabler. “This is a foundational step toward mastering our planetary future.”
About Jua
Founded in Zurich in 2022, Jua aims to build the most advanced AI model for understanding the natural world. With expertise in physics-based AI, climate modeling, and energy systems, the team set out to solve a growing problem: current planning tools can’t keep up with the pace of climate change and global uncertainty.