Product
1 / 5
Consumer home-energy monitors focus on household bill reduction. Professional energy workspaces require physics-constrained forecasts, transparent benchmarking, and AI agents that support trading decisions.
2 / 5
Professional energy trading depends on forecasts that beat ECMWF HRES at every lead time, with ensembles that outperform the 50-member ENS mean on RMSE and CRPS.
3 / 5
EPT-2, Jua’s physics foundation model, delivers up to 24 daily updates at a fraction of traditional NWP compute cost while preserving conservation-law accuracy.
4 / 5
Jua for Energy combines EPT models, the Athena AI agent, live 25-model benchmarking, power forecasts, alerts, and a Python SDK to compress daily prep into minutes.
5 / 5
Book a demo to see how Jua accelerates energy-trading workflows with production-grade forecasts and agent-driven insights.
Consumer monitors fall short for energy desks. Jua delivers 25-model forecasts, live consensus, and alerts that protect your P&L. Book a demo today.