Polymath
Simulation environments to train & evaluate long-horizon AI agents
Polymath operates in b2b based in San Francisco, CA, USA, founded in 2017.
Profile
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.
As a business in b2b, Polymath is listed here with the public details available about it.
Its base of operations is San Francisco, CA, USA.
The company is listed at the Winter 2026 stage of development.
The company reports a headcount in the 2 range.
Directory analysis
Polymath develops simulation environments that enable long-horizon AI agents to train and evaluate their performance in realistic, low-supervision settings. The company leverages expertise from UC Berkeley, Hume AI, Plaid, and Amazon to create large-scale, data-driven simulated worlds. Polymath is supported by Y Combinator and focuses on enhancing reliability, performance, and safety of autonomous agents.
Positioning: Polymath occupies a niche in the AI simulation space, targeting enterprises that require robust training environments for autonomous systems. Its small team and Y Combinator backing suggest a startup phase with potential for growth as AI agent deployment expands.
Note: Polymath offers AI training simulations for long-horizon autonomous agents.
Auto-generated directory analysis from public data · updated 7 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Founded | 2017 |
| Employees | 2 |
| Stage | Winter 2026 |
Website: polymathlabs.ai
Browse related
Create a free account