HUD

Executive Summary

HUD is a YC W25 seed-stage company building evaluation infrastructure and RL training environments specifically for Computer Use Agents (CUAs) — a genuinely underserved niche in a fast-growing market. The core thesis is sound: as AI agent deployment accelerates, reliable evaluation tooling becomes non-negotiable, and HUD's combined RL environment + benchmarking stack has no direct equivalent today. The claims, however, don't fully hold up under scrutiny — the "1000s of concurrent environments" infrastructure claim is directly contradicted by HUD's own public documentation (max-concurrent 100), and the company is far earlier-stage than its "Growth" label implies, with only $500K raised and a three-person founding team. The single biggest risk is a two-sided squeeze: well-funded eval incumbents (Braintrust, W&B Weave) expanding into agents from above, and Scale AI / Surge entering the RL environments space from below — both with existing frontier lab relationships that HUD is still building.