Swiss Startup Jua Funding- Raises $16 Million from Promtus Ventures


The advent of large AI models, akin to the significance of smartphone operating systems, is shaping the landscape of artificial intelligence. These expansive language, vision, and audio data repositories are becoming the bedrock of generative AI services. Similarly, Swiss startup Jua is pioneering a new frontier in AI by harnessing this paradigm to revolutionize how AI can be applied in the physical world. 

With a recent injection of $16 million in funding, Jua is poised to build what essentially amounts to a vast “physics” model for the natural world. While still in its nascent stages, Jua’s initial focus lies in modelling and predicting weather and climate patterns, particularly in their implications for players in the energy sector. 

Scheduled for launch by the beginning of the year, this endeavour is merely the tip of the iceberg for Jua. The startup has its sights set on various industries, including agriculture, insurance, transportation, and government services, aiming to provide tailored solutions through its groundbreaking model. 

The swiss startup Jua’a funding is co-led by 468 Capital and the Green Generation Fund, with notable participation from Promus Ventures, Kadmos Capital, founders of Flix Mobility, and, Virtus Resources Partners,, and InnoSuisse. Andreas Brenner, CEO of Jua, alongside co-founder and CTO Marvin Gabler, underscores the urgent need for more accurate modelling and forecasting tools, especially in light of recent years’ escalating climate change and geopolitical volatility.

Jua distinguishes itself from existing AI models by boasting a superior approach, leveraging its ingestion of vast information, resulting in a model twenty times larger than competitors like GraphCast. 

Moreover, Jua’s ambitions extend far beyond weather prediction; it aspires to serve as the foundational model for the natural world, laying the groundwork for artificial general intelligence by comprehensively understanding physics. 

The expertise backing Jua is impressive. Gabler’s background in weather forecasting research, deep learning technology for the German government, and Brenner’s experience in the energy sector and previous startup ventures.

This blend of technical understanding and industry insight positions Jua to address the real-world challenges various sectors face. Jua’s innovative approach involves incorporating diverse data sources, including satellite imagery and topography, to develop holistic models. 

By integrating disparate data streams into a unified system, Jua aims to enhance predictive accuracy while significantly reducing computational costs, making it a more efficient solution for itself and its clients.

The timing of Jua’s emergence and funding is noteworthy, coinciding with the rising prominence of foundational AI models in shaping the future of AI applications. 


As U.S. companies dominate this space, the support for European startups like Jua signifies a global effort to diversify and democratize AI innovation. Jua’s mission to leverage AI for the greater good, particularly in addressing climate change and disaster planning, resonates with investors and potential customers alike.

Beyond weather prediction, Jua’s overarching goal of understanding the physical world holds promise for diverse applications across material science, biomedicine, and chemistry.


While Jua’s vision is ambitious, it also raises pertinent questions regarding safety, reliability, and ethical considerations inherent in AI development. Nonetheless, with a steadfast commitment to enforcing consistency and grounding its models in physics, Jua is poised to chart new territories in the realm of AI-driven solutions for real-world challenges.