Jua delivers state-of-the-art earth systems forecasts optimized for the energy industry. The platform provides weather and climate predictions using proprietary AI models trained on petabytes of raw data to capture multi-scale physics of Earth. Users access forecasts through a web platform, Python SDK, or REST API for weather-dependent power forecasting, renewable energy optimization, and energy trading decisions. The company positions its EPT-2 and EPT-2e ensemble models as outperforming traditional numerical weather prediction methods and competing AI systems from major technology companies.
Forecasts weather up to 16–31 days.
Hourly global hyperlocal 1 km forecasts.
Detects rapid wind changes early.
Multi‑format outputs (JSON, CSV, GRIB).
Integrates real‑time data streams.
Tailored for energy trading decisions.
Competes with established weather model players.
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