Polymath
Polymath is a YC Winter 2026 (W26) company. Based in San Francisco, CA, USA. Team of 2.
About Polymath
Summary
Polymath builds simulation environments used to train and evaluate autonomous AI agents on long-horizon tasks. The simulated worlds let agents practice real-world applications and services workflows repeatedly before deployment, replacing ad-hoc, live-environment testing. Its customers are frontier model labs seeking to improve agent reliability and reduce the need for human supervision.
Go-to-market
Polymath sells directly to leading AI model labs, engaging them through a research and data-lab relationship rather than a self-serve product.
From the Y Combinator listing
Simulation environments to train & evaluate long-horizon AI agents
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.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Dylan Ma
- Naren Yenuganti
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