Ooak Data
The 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.
Y Combinator
yc-company-directory #3126The 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.
sourceOoak Data 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 Ooak Data
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.
hud
match 44HUD (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.
shared product terms: real, environment, reliably, task; same category: AI agents; shared affiliation: Y Combinator
Polymath
match 36We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience. We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-t
shared product terms: real, environment, useful, re; same category: AI agents; shared affiliation: Y Combinator
CambioML
match 33Energent.ai turns every knowledge worker into a top performer by pairing them with an AI teammate. We streamline manual workflows without integrations, democratize automation with zero code, and move beyond passive chatbots to deliver real, visible output — all securely within the enterprise environment.
shared product terms: real, environment, workflow; shared product theme: workflow automation; same category: AI agents; shared affiliation: Y Combinator
Metis
match 28We build infrastructure enabling AI agents to reliably perform complex tasks in production
shared product terms: reliably, complex, task; same category: AI agents; shared affiliation: Y Combinator