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Investment memo

Mercor

Organizing human intelligence to power the AI economy.

San Francisco, United StatesUnited StatesAI/MLFounded 2023B2Bmercor.com
Re-screen Mercor for fresh data

Information updated on Aug 15, 2026

79/ 100FounderBackground72%StrategicPosition85%ExecutionVelocity100%TractionMomentum72%Market &Scalability73%

Unicorn scoreA 100-point read across the founding team, traction, market, execution and how well each is evidenced. Higher means closer to the profile of companies that went on to reach a billion-dollar valuation.

Sustained GrowthBuyRank #55

Listen to the Mercor brief memo

0:00 / 2:43

Current valuation

$10B

Verified Aug 15, 2026

First screened

Aug 15, 2026

Total raised

$492M

Last round: Series C

Addressable market

$500B

Mercor is an AI data startup that organizes human intelligence to power the AI economy. It provides a platform connecting experts across various professional domains, such as law, finance, and software engineering, with leading AI labs like OpenAI and Anthropic to train their models and chatbots. Additionally, Mercor develops AI research benchmarks, including APEX-Agents, to evaluate the performance of frontier AI models on complex business tasks.

How the score breaks down

A 100-point read across the founding team, traction, market, execution and how well each is evidenced. Higher means closer to the profile of companies that went on to reach a billion-dollar valuation.
Score by category, as a percentage of each category maximum
CategoryStrengthScore
Founder Background
72%
Strategic Position
85%
Execution Velocity
100%
Traction Momentum
72%
Market & Scalability
73%

Data confidence 82/100. This measures how much of the memo rests on sourced evidence rather than inference. It was assembled by reading 250 public sources about the company. Compiled Aug 15, 2026.

That gathering is automated, so mistakes are possible. The confidence figure is the honest guide: the higher it is, the more of what you are reading came from a source rather than an inference.

Founding team

Prior exits, repeat founders and relevant domain experience are the single strongest early signal in venture data.

3 founders

  • Brendan Foody

    Brendan Foody

    Co-founder and CEO

    Georgetown University (dropout).

    Education

    • Georgetown University (dropout)
  • Adarsh Hiremath

    Adarsh Hiremath

    Co-founder and CTO

  • Surya Midha

    Surya Midha

    Co-founder and Chairman

Traction

Latest round
Series C · $350M
Revenue
$2B
Estimated, not a filing
Team size
9,59385 open roles

Investors (10)

General CatalystBenchmarkFelicis VenturesRobinhood VenturesVictor LazartePeter ThielJack DorseyAdam D'AngeloLarry SummersAlumni Ventures

What customers say

  • Trustpilot2.5/5 · 5

    Misleading offer and constantly changing payment terms. Mercor first attracted me with an hourly rate. Afterward, the payment model was changed to payment per approved task. I then received a written contract offer stating that it would remain valid for 14 days. Then they deleted the offer after only two days.

Market

$500BGlobal AI Platforms and Training Data Market (Futurum Group)

Why this startup makes sense now

What changed in the world recently that makes this the right moment. A great idea at the wrong time still fails, so a weak answer here is a real risk.

The explosive growth of AI foundation models from companies like OpenAI and Anthropic has created an unprecedented demand for human-in-the-loop data for training, evaluation, and refinement, making Mercor's expert-matching platform critically relevant. Additionally, increasing regulatory scrutiny on AI governance and data privacy (e.g., mandatory AI compliance audits by 2026) drives demand for structured, compliant data solutions.

What competitors cannot copy

What the company has that a well-funded competitor cannot simply copy: proprietary technology, exclusive data, a regulatory position, a network that grows with every user.

Mercor's primary advantage lies in its highly efficient, technology-driven platform for sourcing, vetting, and managing a large global network of over 30,000 specialized contractors. This enables rapid scaling to meet the immense demand from leading AI labs, achieving significant revenue growth with minimal sales and marketing overhead. The recent acquisition of AI simulation startup Deeptune further enhances its proprietary technology stack for advanced AI training environments.

Who else is in the race

Who else is going after the same customers, and where this company sits among them.

Mercor operates in the rapidly expanding market for AI training data and expert services. A notable competitor identified is Handshake, also described as an AI data startup. The broader landscape includes various data labeling services and expert networks, but Mercor's specific focus on AI foundation models and its rapid scaling suggest a specialized niche. The market for human intelligence to power AI is still evolving, with few direct, large-scale platform competitors explicitly named in public sources.

Path to a billion

The arithmetic that gets to a billion-dollar outcome: who they sell to, at what price, and how many of them there need to be.

Mercor has already surpassed $1 billion in annualized gross revenue, reaching $2 billion by June 2026. Its continued path to sustained growth and unicorn status relies on serving the insatiable demand from major AI foundation model companies for human-in-the-loop data and expertise. Expansion into new verticals and international markets, coupled with leveraging its efficient platform to scale its contractor network and improve operational margins, will drive further revenue growth within the rapidly expanding AI platforms market.

What could go wrong

  • Recent layoffs

    Watch

    a layoff round announced in 2025-11-16 (2 distinct rounds reported). Layoffs of this scale in the last 24 months indicate distress or aggressive cost-cutting, both of which weigh on the investability of the next round.

  • Active legal action

    Critical

    A class action lawsuit was filed by Hausfeld LLP and Hall Attorneys, P.C. on April 21, 2026, in the Northern District of California, concerning Mercor's March 2026 data breach and AI labor pipeline. (2026-04-21) Material legal exposure can drain cash, distract leadership, and complicate future fundraising or acquisition.

  • Security breach disclosed

    Critical

    Mercor experienced a data breach in March 2026 due to a LiteLLM supply chain attack, affecting sensitive contractor data, tax records, and AI training systems. (2026-03-01). A confirmed breach signals operational risk and may carry residual liability through class actions, regulatory penalties, and customer churn for years after the incident itself.

Our track record on this company

The valuation recorded the first time this company was screened, against the most recent verified one. It is never rewritten, so the multiple is a real track record.
Valuation from first screening to the most recent verification
First screenedAug 15, 2026
Entry valuation$10B
Current valuation$10B

Latest valuation verified from Live re-screening on Aug 15, 2026. Entry valuation and date are frozen the first time a company is screened and are never rewritten. Valuations are re-checked quarterly against public funding announcements.

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