# Cartpole: reinforcement-learning environments with limited public product detail

Canonical: https://thelazyweb.com/companies/cartpole/
Breadcrumb: [Home](https://thelazyweb.com/) / [Companies](https://thelazyweb.com/companies/) / [Cartpole: reinforcement-learning environments with limited public product detail](https://thelazyweb.com/companies/cartpole/)
Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

Cartpole’s current public identity is reinforcement-learning environments for frontier models, but the public evidence is thin. The official profile is current and specific about the category; the homepage is a one-page contact surface, while the most detailed public launch describes an earlier bug-finding product called Jazzberry.

## What it does

The [YC profile](https://www.ycombinator.com/companies/cartpole) says Cartpole is building reinforcement-learning environments for training frontier models. Its founder, Mateo Perez, is described as a CU Boulder PhD and the company is categorized under AI, reinforcement learning, data labeling and ML. The [current homepage](https://cartpole.com/) only says “cartpole RL environments” and invites contact.

The linked [Jazzberry launch](https://www.ycombinator.com/launches/NQN-jazzberry-ai-bug-finding-with-real-code-execution) is useful history but not evidence that Cartpole currently sells that product.

[Cartpole: reinforcement-learning environments with limited public product detail](<https://www.thelazyweb.com/companies/cartpole/>)

Source observed: 2026-09-20T02:21:44.032Z. Last checked: 2026-10-08T02:06:05.765+00:00.

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