Tokenless
We find flaws in RL environments and evals and help you fix them.
Tokenless is an applied AI research lab. Our goal is to end reward hacking. We do research and build tools to detect issues with environments and evals, understand model behavior in those environments, and prevent those issues from happening. Correcting them makes training more effective, makes model performance easier to interpret, and is crucial to solving the AI alignment problem. If you’re training models with RL, building environments, or running agent evals, and want more confidence in your environments, we're here to help.
- Website
- usetokenless.com
- City
- San Francisco
- Country
- United States
- YC batch
- Summer 2026
- Team
- 3 people
- Stage
- Early stage
- AI-native
- Yes
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