hud
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 don't 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. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.
Y Combinator
yc-company-directory #5764HUD (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 don't 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. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.
sourcehud is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to hud
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
The Synthesis Company
match 69We enable research that was previously impossible—systematic reviews of 20,000+ papers in weeks with 98% accuracy. We collaborate with researchers at Stanford, Harvard, and Johns Hopkins to ask the big questions they've been forced to scale down. Pharma companies get complete evidence awareness in weeks — not years. AI labs get the same reviews as RL environments with expert-validated reasoning traces—scientific synthesis as the next frontier after math and coding benchmarks. We're former DSPy c
shared extracted concept terms: rl, environment; shared product terms: rl, environment, frontier, labs; shared affiliation: Y Combinator
Sepal AI
match 57Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI. We partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do. We’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable. Sepal AI was founded in 2024 by engine
shared product terms: labs, evaluation, people, actually; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Hyperbrowser
match 57Hyperbrowser.ai is the internet infrastructure for AI agents. We provide instant, scalable browser infra with built-in CAPTCHA solving, proxy management, and anti-bot detection. Developers use us to power their AI agents for data collection, testing, and web automation at scale. We're backed by YC, Accel, SV Angel, and others.
shared product terms: yc, web, re, back; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Relari
match 51Relari is building the infrastructure for trustworthy AI agents in the Software 3.0 era. We’re the company behind Nuvi.dev — a natural language agent builder that turns plain-English specifications into intelligent, verifiable agents — as well as the open-source frameworks Agent Contract and continuous-eval, which ensure AI systems behave as intended.
shared extracted concept terms: eval; shared product terms: eval, framework, re, infrastructure; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Parakey
match 51Parakey was founded in early 2006 by Blake Ross and Joe Hewitt of Mozilla/Firefox fame. Little has been revealed about what Parakey will actually do, but it has been touted as both a platform and set of applications that will merge the desktop environment with the Web. It has also been described as a Web-based operating system. Great emphasis has been placed on Parakey's potential to make tasks on the computer more intuitive for the average Joe. Parakey was acquired by Facebook on July 19, 2007.
shared extracted concept terms: environment; shared product terms: environment, computer, web, actually; shared affiliation: Y Combinator
Ooak Data
match 44The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks. That’s why we're building **Alexandria,** the world's largest library of real-world business workflow datasets.
shared product terms: real, environment, reliably, task; same category: AI agents; shared affiliation: Y Combinator