Tokenless
Applied AI research lab that finds flaws in reinforcement-learning environments and evals, which let models exploit tasks and graders, and helps teams that train models or run agent evals fix them; it publishes EnvCheck and the Eval³ leaderboard and invites teams to contact it.
Product
Selected offerings — the AI products recorded here, not the vendor's full catalogue.
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Tokenless EnvCheck Developer tool
Tooling and expertise for finding reward hacks and grading bugs in reinforcement-learning environments and agent evals, including the EnvCheck audits and the Eval³ leaderboard of how well models audit benchmarks, for teams training models with RL, building environments or running agent evals; the home page asks interested teams to get in touch and publishes no prices.
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Sources
- Total funding
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Pages read for this record state no funding total. Tried the home page and the company's YC profile.
- Valuation
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Pages read for this record state no valuation. Tried the home page and the company's YC profile.
- Founded
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Company disclosure · 20 Oct 2026
Own YC profile lists Founded: 2026; usetokenless.com states no founding year. The pages name no legal entity.
- Public listing
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No listing on the pages read; treated as private.
- Description
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Official documentation · 20 Oct 2026
Home page: "We find flaws in RL environments and evals and help you fix them."
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