Polymath

Long-horizon AI agents are unreliable to train and evaluate safely because real-world testing is costly, risky, and lacks realistic environments.

Polymath builds realistic simulation environments where autonomous agents can be trained, practiced, and evaluated over long horizons.

AI researchers and companies building autonomous agents who need simulation-based training and evaluation.