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Polymath

Simulation environments for long-horizon AI agents

San Francisco, CA, USA
2 people
Private
Founded 2026
Y Combinator W26
AI
Simulation
Developer Tools

About

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.

5 open roles

Eng·San FranciscoRemoteContract
106d ago
$150k-$300k
Research·San FranciscoStaff / Lead+OnsiteFull-time
+ equity106d ago
Applied AI·San FranciscoRemoteContract
106d ago
$150k-$300k
Research·San FranciscoStaff / Lead+OnsiteFull-time
+ equity106d ago
$150k-$250k
Ops·San FranciscoStaff / Lead+OnsiteFull-time
+ equity114d ago