Mercor
Expert intelligence platform for AI evaluation and deployment.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Founded
- 2023
- Headquarters
- United States
- Company size
- 201–500
- Market role
- B2B SaaS Provider
- Official website
- mercor.com
What Mercor does
Mercor operates a hybrid platform-and-services model for the AI economy. It recruits and assesses specialist talent, converts that expert capacity into labelled data, benchmarks and managed evaluation workflows, and sells those outputs to AI labs and enterprises. It also extends upstream into enterprise consulting and deployment by identifying automation opportunities, building workflow-specific agents and helping clients prepare proprietary data for licensing and AI use.
Category differentiation
Mercor is not a general recruiting agency or a standalone foundation model provider. It is a B2B platform and managed-service company focused on expert-driven AI evaluation, data and enterprise agent deployment.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Mercor is a private US technology company that supplies AI labs and enterprises with expert-driven evaluation, training data, workflow diagnostics and agent deployment services. Its operating model combines a software and data layer, centred on the APEX benchmarking and dataset products, with a managed service layer that uses a vetted network of domain specialists to create tasks, assess models, benchmark agents and support enterprise AI implementation. The company makes money from enterprise contracts for AI evaluation, agent benchmarking, workflow analysis, custom agent deployment, expert staffing and proprietary data licensing. Its direct customers are AI research teams, foundation-model developers, enterprise AI teams, operations leaders, product teams and data owners. The expert marketplace is a supply-side acquisition engine rather than the primary paying customer base.
Company news briefing
Briefing updated:
Following its milestone of crossing $2 billion in gross annualised revenue, Mercor published research on training 397B reinforcement learning knowledge work agents using SkyRL. Although Google outbid Mercor to acquire Spirit Airlines' internal dataset for $10 million, the company continues to expand its market presence. Additionally, CEO Brendan Foody has publicly criticised 'dual-valuation' financing structures amid the ongoing AI funding boom.
Business model & monetisation
Mercor monetises through a mix of enterprise service fees, task-based evaluation pricing and data licensing. APEX Off-the-shelf Data is sold as licensed proprietary datasets. Enterprise evaluation work is explicitly priced per task rather than per head. Additional revenue comes from managed workflow diagnostics, custom agent deployment, expert staffing and data commercialisation services. Mercor captures value by charging enterprise customers for the outputs and managed delivery while paying experts weekly for contributed labour.
- Enterprise AI evaluation and benchmarking
- Pay-per-Use
- Managed agent deployment and workflow diagnostics
- Service Fee
- Dataset licensing
- Service Fee
- Expert staffing and project delivery
- Service Fee
- Data monetisation advisory and licensing enablement
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- GlobalData
Enterprise intelligence platform combining proprietary data, experts and AI.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
CEO Dinner Insights: Hiring in the Age of AI
Infrastructure · Recorded impact score: 2/5
A private CEO dinner focused on hiring and firing practices in the AI era. Key themes included the limitations of traditional hiring frameworks, the growing importance of self-awareness and judgment over raw execution, and the transformative impact of AI on the hiring process itself. Executives shared techniques like AI-sidebar audits, reference-check methodologies, and frameworks such as IQ/EQ/AQ. AI is commoditizing coding output, shifting value to product judgment and prompting some to reduce engineer hiring. A notable anecdote described a 19-year-old prodigy taught primarily by an LLM, highlighting a paradigm shift in talent development.
- A CEO dinner focused on hiring was held in Palo Alto, hosted by Shishir Mehrotra.
- Executives discussed shifting hiring criteria away from coding skills towards product judgment as AI automates code generation.
Micro1 Hits $500M Gross Run Rate
Financials · Recorded impact score: 3/5
Micro1, a four-year-old AI data-labeling startup, grew its gross annual run rate from $100 million to $500 million over the past eight months, according to a person familiar with the company. The startup retains roughly 60%–70% of gross, implying a net annual run rate of $150 million–$200 million. Micro1 is increasing use of synthetic, off-the-shelf datasets (some with gross margins of 80%–90%) and is seeing larger contract sizes and expected margin expansion. The company raised a Series A at a $500 million valuation in September 2025 and may have recently raised another round at a higher valuation. Founder Ali Ansari has said Micro1 does not sell data to Chinese model makers.
- Micro1 expanded its gross annual run rate from $100 million to $500 million over the past eight months.
- Micro1 retains roughly 60%–70% of gross run rate, implying a net annual run rate between $150 million and $200 million.
Mercor in Talks for $20B Valuation
Fundraising · Recorded impact score: 2/5
AI training startup Mercor is reportedly in early-stage talks to raise a funding round valuing the company at $20 billion, according to Bloomberg. That would double the $10 billion valuation Mercor achieved in October after a $350 million Series C. Mercor says it has received a term sheet at the new valuation and CEO Brendan Foody has posted that the company’s annualized revenue run rate (ARR) crossed $2 billion, a 100% increase in four months. Separately, Mercor announced the acquisition of Deeptune, whose team will join Mercor. The company previously faced a data breach and contractor lawsuits in early 2026. Sources and specifics remain limited as discussions are described as being at an early stage.
- Mercor is reportedly in talks to raise a round at a $20 billion valuation, per Bloomberg.
- In October, Mercor raised a $350 million Series C at a $10 billion valuation.
AI Startups Report Rapidly Accelerating Revenue Growth
Large Language Models & AI · Recorded impact score: 4/5
Multiple AI-focused startups and AI-enabled software companies reported accelerating revenue growth and faster time-to-milestone, though they use differing definitions of ARR and run-rate. The TechCrunch roundup lists firms reporting recent milestones: Mercor said it crossed $2 billion in gross annualized revenue in June; Anthropic reported a revenue run rate near $47 billion in late May after surpassing $30 billion only weeks earlier; Sierra added $100 million to reach $200 million ARR within two quarters; Glean crossed $300 million ARR; Gusto surpassed $1 billion in trailing 12-month revenue; and Clio reached $500 million ARR after embedding AI. The article notes variations in how companies measure ARR (annualized recurring revenue, committed ARR, run-rate, trailing-12-month revenue) and was published on 2026-07-08 by TechCrunch reporter Marina Temkin.
- Mercor reported it crossed $2 billion in gross annualized revenue as of June, four months after reaching $1 billion.
- Anthropic reported a revenue run rate of $47 billion in late May, up from $30 billion less than two months earlier.
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Questions about Mercor
What is Mercor?
Mercor is a private technology company that supplies AI labs and enterprises with expert-led evaluation, training data, workflow diagnostics and agent deployment services.
Who uses Mercor?
Its paying customers are AI research teams, model developers, enterprise AI and operations teams, product leaders and data owners that need benchmarks, datasets or deployed agents.
How does Mercor make money?
Mercor earns revenue from enterprise contracts for AI evals, agent benchmarking, custom deployment, expert project delivery and licensing of proprietary datasets.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
16 publicly documented primary sources and citations linked across the market graph.
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