Global state of the art. Against every incumbent.
Aggregate skill across RMSE, ACC, and CRPS. Normalized to EPT-2 = 100.
The companies that price power for five continents already run on Jua.
One agent. Two weather-driven markets. Same architecture. Same weights.
The agent runs energy markets.
Across five continents, every hour. It reads EPT-2, prices moves, and surfaces what matters to power and gas desks.
The agent trades the weather.
Same agent, new objective, no rewriting. We pointed it at weather contracts on Polymarket. It made money from day one.
Built with ETH Zurich, Google Research, and the ETH AI Center. Backed by the founder of The Climate Corporation and executives from DeepMind and Meta.
Research from Jua and our team. Peer-reviewed at NeurIPS and ICLR.
It started with a kid who could not stop simulating worlds.
Marvin grew up in Germany modding games and building models of his home city. He studied biotech and computer science, dropped out of RWTH Aachen, and at 22 founded and sold his first company.
While later building simulations on classic supercomputers in his family business, one thing became obvious: if simulating the atmosphere ever becomes cheap, every grid, every wind farm, every trading desk can plan around the weather. Deeply inspired by Schmidhuber's Learning to Think, he waited for the hardware to catch up. When GPT-3 came out and chips were finally fast enough, he started Jua.
