Jua AI
Revolutionize energy trading with AI-driven, precise weather forecasting
Jua builds a foundation model of the physical world, starting with the atmosphere, and sells its weather forecasting to energy traders, utilities and hedge funds. The company's thesis is that language models learned the digital world from text, while the physical world needs a different kind of model, one that learns how reality behaves plus an agent that acts inside it.
Its current world model, EPT-2, was trained on atmospheric data, which the site calls the hardest continuous-physics dataset ever recorded. Jua says the model leads on atmospheric prediction and is in production with utilities, energy traders and hedge funds, powering more than 100 GW worldwide. Named users on the page include TotalEnergies, Shell, Enel, Statkraft, RWE, EDF, Hydro-Québec, Vitol and Origin Energy. The stated long-term aim is a foundation layer for physical AI that goes beyond weather.
It sits under research in this directory, but the practical use case is forecasting for power trading and grid operations. Pricing is freemium; access goes through a demo booking and sign-in, so contact Jua to check data coverage for your markets.
Category: Research. Pricing: enterprise. Visit website
Alternatives to Jua AI in Research
- Yila AI — Evidence-traceable research agent for literature review, PDF analysis, figures, and academic slides.
- Ticketglide Ticketing Agent — Easy travel research with free, read-only MCP guides and search links
- Roborock QX Revo Max vs QX Revo Ultra 2 (comparison) — Free side-by-side Roborock robot vacuum comparison guide
- Deep Search — AI web research, chat and public-information lookups
- ScholarIQ — ScholarIQ searches 470M+ articles from OpenAlex, ORCID and PubMed — and answers in plain language, with every claim cit…
- Tracetify — Evidence-led competitor launch intelligence for founders and marketers.