Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights. We are happy to share that investors like 468 Capital, Green Generation Fund, Promus Ventures, Kadmos Capital Ltd, session.vc, Notion Capital have invested equity and Innosuisse has provided a grant to fund our research and development efforts for a total of $16M. We highly appreciate the support of some of the foremost experts in AI, seeing as the same firms were the earliest investors in companies like Aleph Alpha. Among others, some senior members of the AI teams at Google DeepMind and Meta have also invested into Jua and are supporting us with their knowledge and network. In the fast moving world of AI it is important to be connected to the foremost thinkers and to learn about the latest break throughs as they happen. We are also proud to partner with large and small companies like TotalEnergies (not an investor) and Virtus Resources Partners (a small investor) to ensure our solutions generate a tangible business impact from the first day of use. Whilst we embrace such partnerships for go to market and are open for select strategic investors, such partnerships are designed with our position as a neutral and independent technology provider in mind. The funding received will be used to continue developing our technology platform, to continue to enhance our model and to make it available to customers within the coming weeks. Keep watching this space and refer to TechCrunch for more information.
Jua.ai
Technologie, Information und Internet
Schindelleggi, Schwyz 5.639 Follower:innen
jua.ai, AI for energy trading / The world's first end-to-end, deep-learning weather model. Optimised for energy trading.
Info
Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days. Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.
- Website
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https://jua.ai
Externer Link zu Jua.ai
- Branche
- Technologie, Information und Internet
- Größe
- 11–50 Beschäftigte
- Hauptsitz
- Schindelleggi, Schwyz
- Art
- Privatunternehmen
- Gegründet
- 2022
- Spezialgebiete
- api
Orte
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Primär
Schindelleggi, Schwyz 8808, CH
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Warschauer Platz
Berlin, 10245, DE
Beschäftigte von Jua.ai
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Andreas Brenner
AI for weather-dependent energy trading, Co-founder @ jua.ai
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Raakesh Savji Parmar
Helping build 🌎 🌱 most accurate AI weather ☀️ model 🔮 | AI strategy | Commercial Leader | Climate Tech | Renewable Energy | NED | Start-ups |…
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Peter Braden
Generalist software engineer with multiple decades of experience including product and management and a proven track record of autonomy and…
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Alexander J Dautel
Machine Learning Engineer | Always learning.
Updates
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Interested in the future of AI-powered weather forecasting? Our Senior AI Engineer, Andreas Schlueter, will lead an insightful discussion during our upcoming webinar… Here’s what he’ll cover: ⚡The evolution of AI weather forecasting ⚡AI vs NWP: Key differences in forecasting methodologies ⚡The future of AI-driven meteorology ⚡The development of the world’s largest AI model for environmental forecasting You’ll also get the opportunity to ask our expert any burning questions you may have. Sign up now using the link below… https://lnkd.in/ePbsNNAu
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Jua's Monthly Staff Spotlight: Raakesh Savji Parmar is a Senior Account Executive at Jua. In his role, Raakesh plays a critical role in fostering a sales culture that values consistent success, prioritises customer service and enabling our customers to understand the value Jua's products can bring to their businesses.
Jua's Monthly Staff Spotlight
Jua.ai auf LinkedIn
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Introducing the host of our upcoming webinar, Andreas Schlueter! Andreas, Senior Al Researcher at Jua.ai, is currently working on the development of Al-based weather forecasts. As an experienced researcher with a PhD in Atmospheric Physics, he is excited about the paradigm shift in meteorology from numerical to data-driven weather forecasts. In his previous role as a Schmidt Science Fellow at Stanford's Al Lab, he worked on Al applications using satellite data. Andreas is also Co-Founder and Scientific Advisor of Flamingoo Foods, a startup leveraging weather forecasts and satellite imagery to combat food insecurity in Sub-Saharan Africa. He will be covering the latest advancements in weather prediction, and how Jua's Al technology is transforming the way energy traders leverage these insights during this session. Interested in deepening your understanding? Join him live on the 11th December at 12.30pm. Register your place using the link below: https://lnkd.in/ghuA9URD
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We are thrilled to welcome Peter Braden to the Jua.ai team as a Senior Full Stack Engineer! With extensive experience in software engineering, architecture, and leadership, Peter has delivered impactful solutions—from building tools for carbon credit pipelines at Pachama to driving blockchain-based privacy protocols at HOPR. His ability to innovate and lead cross-functional efforts will be a huge asset to our mission. Welcome aboard, Peter! #NewHire #WelcomeToTheTeam #EngineeringExcellence
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Has AI already replaced numerical weather prediction? In our last webinar, the Jua panellists Bas Steunebrink Marvin Gabler and Andreas Schlueter discussed the potential of AI for weather prediction. Learn what has changed since then in our upcoming webinar on December 11th. Andreas Schlueter, Senior AI Engineer and Meteorologist at Jua gives a deep dive into current state-of-the-art AI models and how they impact weather prediction. Andreas will 🌀 Elaborate how AI weather models have developed 🌀 Share insights how the largest AI model for environmental predictions has been developed 🌀 Present Use Cases and prediction of larger weather swings You’ll have the unique opportunity to ask our experts any burning questions. Make sure you don't miss this thought-provoking event. Designed for meteorologists at trading firms, and anyone involved in trading, analysis, market, quant or modelling. Register Today:
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Excited to see you there Andreas Schlueter
Get your ticket to SatSummit today: https://lnkd.in/g3eYTc79 SESSION HIGHLIGHT 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗮𝗻𝗱 𝗪𝗲𝗮𝘁𝗵𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 AI is causing a paradigm shift in Climate and Weather modeling, with a move from numerical to data-driven approaches. This panel will explore the integration of AI into these scientific domains. How do we build trust and drive adoption of AI models? What will be the role of numerical approaches in the future? Are there lessons that apply to other scientific domains? Rahul Ramachandran NASA - National Aeronautics and Space Administration Emanuel Dutra IPMA-Instituto Português do Mar e Atmosfera / IPIMAR Clemens Cremer DHI Andreas Schlueter Jua.ai Jordan Jasuta Fischer IBM
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Welcome Ivo Karov to the Jua.ai team as Senior Account Executive! With a strong track record at leading tech companies like Darktrace and Tquila, we're excited to see him drive growth and deliver exceptional value. Let's welcome him to the team! #newhire #welcometotheteam #sales
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We're #hiring a new Senior Software Engineer in City of Cape Town, Western Cape. Apply today or share this post with your network.