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Polymath

Simulation environments to train & evaluate long-horizon AI agents

San Francisco, US

We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience. We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-training frontier models in industry, and building large scale data systems. Polymath is backed by Y Combinator.
Meet the team2

The people behind Polymath

Dylan Ma
Dylan Ma
Founder
LinkedIn profile
Naren Yenuganti
Naren Yenuganti
Founder
LinkedIn profile