Polymath1 is an applied research lab focused on increasing the reliability and autonomy of AI agents, in order to better serve people. 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 performance 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.
1polymath — n. an individual with profound knowledge or learning across many diverse fields. From Greek polymathēs, “having learned much.”