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Jua

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Builds physics-based foundation models and an agent for real-world prediction, used by energy traders for atmospheric forecasting.

What it does

Jua is building a foundation model of physical reality, starting with the atmosphere. Its world model EPT-2 learns physics from data and claims state-of-the-art atmospheric prediction, while its agent Athena pursues objectives inside simulated physical environments. It is used by utilities, energy traders and hedge funds.

Core features

EPT-2 physics world model
Athena objective-solving agent
State-of-the-art atmospheric prediction
Transfers across physical domains
Peer-reviewed research
Used in energy and trading

Best for

Weather and atmospheric forecasting
Energy grid and trading decisions
Prediction-market analysis
Physical-system simulation