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Jua raises $16M to build a foundational AI model for the natural world, starting with the weather
Large AI models -- the big troves of language, vision and audio data that power generative artificial intelligence services -- are shaping up to be as
Andreas Brenner, Jua’s CEO who co-founded the company with CTO Marvin Gabler, says that the increasing “volatility” of climate change and geopolitics have led to a need among organizations that work in the physical world — whether in industrial areas like energy or agriculture or something else — to have more accurate modelling and forecasting. There are also projects underway building AI models out of weather data to hone in on other natural occurrences, as highlighted just last week in this report about a team trying to bring new understanding to bird migration patterns. There is a definite “good guy” feel about an AI company that is setting out to make better sense of how climate change is impacting us, to aid in better disaster planning, and perhaps even, one day, be used to help understand how to mitigate environment damage.
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