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AI-powered talent marketplace that sources, vets, and matches experts
Mercor is an AI talent marketplace that sources, interviews, and matches vetted experts to roles using natural-language search and AI-led video interviews, widely used to supply specialized human expertise to AI labs and companies.
Mercor is a talent marketplace built around AI-driven matching. On the candidate side, applicants upload a resume and complete a roughly 20-minute AI-led video interview that assesses skills and builds a detailed profile. On the company side, hiring teams describe the person they want in natural language, and Mercor's semantic search queries hundreds of thousands of resumes, portfolios, interview transcripts, and public profiles like GitHub to surface strong matches in seconds. The platform also handles interviewing, verification, and payments, aiming to be an end-to-end hiring layer. Founded in 2023 by Brendan Foody, Adarsh Hiremath, and Surya Midha, Mercor has grown quickly, raising a $75 million Series B that valued it at around $2 billion, and building a pool of over 100,000 domain experts. It has become especially prominent as a source of specialized human expertise, including physicians, lawyers, and PhD researchers, for AI labs and companies that need high-quality data labeling, evaluation, and expert work. Mercor is best for companies that need to source vetted specialists or contractors quickly, particularly for expert-driven or research-heavy work, and for professionals seeking flexible, well-matched opportunities. It is less relevant to organizations wanting a traditional in-house applicant tracking system rather than a marketplace, and pricing for employers is arranged directly rather than published.
Mercor is an AI talent marketplace that sources, interviews, and matches vetted experts using natural-language search, widely used to supply specialized expertise to AI labs.
Mercor was founded in 2023 by Brendan Foody, Adarsh Hiremath, and Surya Midha to reimagine hiring with AI. The company raised a $75 million Series B that valued it around $2 billion and has scaled a pool of over 100,000 domain experts.
Mercor has become especially prominent as a source of specialized human labor, including researchers and licensed professionals, for AI companies that need high-quality data, evaluation, and expert work.
On the candidate side, Mercor uses AI-led video interviews and resume analysis to build rich profiles. On the employer side, natural-language semantic search surfaces matches from resumes, portfolios, GitHub, and interview transcripts, and the platform handles vetting, interviewing, and payments.
The result is an end-to-end marketplace that aims to compress sourcing and screening from weeks to minutes, with particular strength in expert and research-oriented roles.
Mercor targets companies needing to source vetted specialists and contractors quickly, especially AI labs and research-heavy organizations, as well as professionals seeking flexible, well-matched work.
Hiring managers sourcing talent and candidates seeking matched opportunities.
Talent acquisition leaders and operations heads at scaling companies and AI labs.
Recruiters and research leads evaluating expert-sourcing options.
Companies and AI labs needing fast access to vetted, specialized experts and contractors.
Mercor raised a $75 million Series B led by Felicis at a roughly $2 billion valuation; verify the latest figures with current sources.
Mercor is an AI-powered talent marketplace that sources, interviews, and matches vetted candidates to roles using natural-language search and AI-led video interviews.
Companies describe who they need in plain English, and Mercor's semantic search queries resumes, portfolios, interview transcripts, and public profiles to surface matches.
Companies use it to source vetted experts and contractors, and it has become a notable supplier of specialized human expertise to leading AI labs.
Yes, candidates can join and complete an AI-led interview for free; employers arrange pricing directly.
Mercor was founded in 2023 by Brendan Foody, Adarsh Hiremath, and Surya Midha, and has raised significant venture funding.
Side-by-side pages for pricing, features, and best-fit use cases.
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