B2B

Harper

Platform for building RL environments and evals

YC Batch:

YC Batch:

Winter 2025

Jay Ram

Co-Founder

Founders and leadership have backgrounds in software engineering machine learning product and startup leadership. Notable experience includes Roee Adler (product & startup leadership roles at Soluto WeWork Santa; MBA & long product leadership history) May Walter (software engineer CTO experience building runtime/agent systems) Jay Ram (CS/Physics background; ML research and sim-to-real RL) Parth A. Patel (engineering background; Rutgers) and Lorenss Martinsons (cognitive science / ML interests).

Total Raised

$0

Stage

Early

Industry

B2B

About

HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs.

People dont actually know if AI agents are working reliably. To make AI agents work in the real world we need detailed evals for a huge range of tasks.

Were backed by Y Combinator and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.

Key Investors

Y Combinator (Winter 2025)

Company Snapshot

Employee Count

5

Status

Active

Former Names

Human Union Data hud HUD

Tags

"Artificial Intelligence" "Reinforcement Learning"

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