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Tokenless (YC S26) — We find flaws in RL environments and evals and help you fix them

Tokenless is an applied AI research lab, and 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.

Tokenless is a Y Combinator company in the Summer 2026 batch. Its directory entry describes it as: We find flaws in RL environments and evals and help you fix them. The founders listed are Rohit Agarwal (Founder), Andrew Liu (Founder), Kevin Wang (Founder) (Y Combinator directory entry, August 14, 2026).

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Tokenless

New accelerator entry · 2026-08-14 · the record

Summer 2026
batch
3
people
Early
stage
United States of America
region
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What the record says

BatchSummer 2026
Announced2026-08-14
StageEarly
StatusActive
Team size3
IndustryB2B
Sub-industryB2B -> Infrastructure
SectorsDeveloper Tools, Machine Learning, Reinforcement Learning, B2B, AI
RegionsUnited States of America, America / Canada
BasedSan Francisco, CA, USA
HiringNo
Sitehttps://usetokenless.com
Previously known asTokenless, Touchy

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Also in YC Summer 2026

Same batch, B2B first.

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In their words

Tokenless is an applied AI research lab, and 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.

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  3. What They Do, And How The Money Works

  4. Who Runs It, And How To Reach Them

  5. The Money: Funding, Valuation, Runway

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  8. Sources

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Tokenless: Accepted into Y Combinator Summer 2026
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Permanent URL: https://mentionfox.com/funding/yc-tokenless
Last updated 2026-10-20
Primary record: Y Combinator directory entry
Tokenless (YC S26) — We find flaws in RL environments and evals and help you fix them. MentionFox, 2026-10-20. https://mentionfox.com/funding/yc-tokenless