AI infrastructure

Tokenless

Website
Founded 2026Origin source ↗Checked 2026-09-15

Overview

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.

Company description As recorded 2026-11-08
LinkedIn
AI infrastructureAPI platformBusinessesUsage & volume pricing

Founders & team

Previously Tokenless, Touchy

Company history As recorded 2026-11-08

Rohit Agarwal

Founder

Founder at Touchy (YC S26). CS PhD student at Princeton PLI, Hazan Lab, Google Deepmind. Previously at Duolingo and theory research at Berkeley, was EECS #1 BS grad in 2024.

LinkedIn X
Founder profile As recorded 2026-09-15

Andrew Liu

Founder

Founder at Touchy (YC S26). Formerly a researcher at UC Berkeley working on language documentation tools. BA in Computer Science, Mathematics, and Linguistics from UC Berkeley. Previously TA'd CS61C.

LinkedIn X
Founder profile As recorded 2026-09-15

Kevin Wang

Founder

Founder at Touchy. Previously Founding Engineer at Eventual (raised $30M Series A), building Daft, the data engine for AI. Led LLM batch inference infra, distributed joins, and query optimization powering petabytes of daily AI data processing. Software Engineer at SkyPilot optimizing 4k+ GPU training jobs. BS EECS from UC Berkeley.

LinkedIn X
Founder profile As recorded 2026-09-15
3team members reported
Source-reported As recorded 2026-09-15

Founded 2026 · Source

News & product activity

Sources & observations

Hacker News · Y Combinator

Profile depthenriched profile
Website observationwebsite reachable
Last website check2026-11-11
Location · source statedSan Francisco, CA, USA
Pricing evidenceNo pricing page confirmed
Maturity: Not assessed · 3 of 6 areas documented

Source-based assessment · automated evidence rules

The retained text does not establish product availability or customer use.

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions
independent websitesource corroborationreachable websitedescriptive evidenceclassified market and modelsourced peoplesourced founding yearrecent publishing observeddated product or funding activity
startup.observe Directory coverage · Sources & method