Weather Forecasting
1 / 5
DTN Weather Intelligence is a subscription analytics layer on top of traditional NWP, with forecasts typically updating 2–4 times per day.
2 / 5
Jua for Energy, powered by the EPT-2 foundation model and Athena AI agent, beats ECMWF HRES on every lead time for key energy variables such as wind, temperature, and solar radiation.
3 / 5
EPT-2 supports up to 24 daily refreshes at far lower inference cost (~$0.20–$15 per simulation) than traditional NWP runs that cost €1,000–€20,000.
4 / 5
The Jua platform replaces fragmented SaaS workflows with one AI-agent workspace that auto-generates briefings, alerts, and backtests from natural-language queries in about 90 seconds.
5 / 5
Book a demo with Jua to see EPT-2 benchmarked directly against your current forecast provider.
See how Jua EPT-2 outperforms DTN Weather Intelligence on accuracy, cost, and enterprise benchmarks. Book a demo and upgrade your forecasting today.