Product
1 / 5
Physics-constrained AI models like Jua’s EPT-2 embed conservation laws directly in the model, so forecasts stay physically consistent and capture extreme events that move energy P&L.
2 / 5
Jua for Energy (EPT-2 + Athena) leads the 2026 market with peer-reviewed benchmarks that beat ECMWF HRES and ENS across wind, temperature, and solar radiation from 0–240 hours.
3 / 5
Utilities, trading houses, and quant funds see tangible ROI, with four-percentage-point forecast accuracy gains cutting imbalance and hedging costs by up to €3 M per GW of solar each year.
4 / 5
Athena’s agent layer turns complex workflows into 90-second natural-language queries for briefings, backtests, and alerts, while the Python SDK supports 5-minute systematic evaluations via pip install jua.
5 / 5
Run a live 5-minute benchmark at athena.jua.ai to experience the platform’s edge on your own region and variables.
Jua's EPT-2 leads 2026 with physics-constrained forecasts cutting imbalance costs by €3M/GW. Explore the top 12 AI energy analytics tools now.