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UPDATED 2026.10.05
rl-list.com · Vendors · Mercor

Mercor

Incumbent
high confidence
www.mercor.com ↗ · Status: active confirmed · Founded 2023

Mercor is a venture-backed expert marketplace and AI-training-data company. It supplies RLHF data, evaluations and reinforcement-learning environments to frontier AI labs and enterprises, drawing on a professional expert network: the homepage cites 30k+ experts, and Mercor's Deeptune post claims more than five million. It started as an AI-recruiting platform, moved into human data and RL, bought Sepal AI (Feb 2026), and announced the acquisition of Deeptune (Jul 2026), which builds simulated enterprise-app 'training gyms'. It publishes the APEX family of professional-task agent benchmarks. Mercor says it reached $2B ARR in June 2026, despite a March 2026 supply-chain data breach.

Key facts
Headquarters
San Francisco, CA, USA (181 Fremont)confirmed cite
Headcount band
51-200reported cite
Total raised
$492Mreported cite
Last round
Series C, $350M, October 2025confirmed cite
SOC 2
unknown cite
What they sell
mixedconfirmed cite
Open source
partial (open eval harness Archipelago, APEX datasets, apex-swe, apex-evals, SkyRL training recipe and weights; core services proprietary)confirmed cite
Deployment
managed-hosted (managed service / marketplace; RL environments delivered as a service to labs)estimated cite

What's new

13 sourced updates · last 6 months

Founding team

Brendan Foody
Brendan Foody
Co-founder & CEO
Enrolled at Georgetown, then dropped out. Thiel Fellow, and met his co-founders on the Bellarmine College Prep debate team. Mercor's careers page says he was named a TIME100 AI Innovator in 2026. He invested personally in Deeptune before the acquisition.
Adarsh Hiremath
Co-founder & CTO
Attended Harvard, then dropped out. Thiel Fellow and Bellarmine College Prep debate teammate of Foody and Midha.
Surya Midha
Co-founder & Board Chairman
Attended Georgetown, then dropped out. Thiel Fellow. Wikipedia lists him as board chairman.
Sundeep Jain
President (non-founder)
Former Uber CPO and SVP Engineering, and former Google VP Product Management (Search Ads). Hired as Mercor's first president in May 2025. No 2026 source confirms he still holds the role.
Kevin Shiau
Kevin Shiau
Chief Financial Officer (non-founder, joined 2026)
Former Tesla finance and operations leader (battery-storage business). Earlier at First Solar and in Citigroup investment banking, then at an early-stage AI robotics company.

What practitioners should know

For researchers

  • The APEX family has papers on arXiv (2509.25721, 2601.14242, 2601.08806, 2607.27189). Datasets on Hugging Face: Mercor/APEX-v1, mercor/apex-agents, mercor/apex-agents-v1.1, mercor/APEX-SWE, mercor/apex-accounting-harbor.
  • APEX-Agents 1.1 (Sep 2026) uses a new judge that penalizes hedged multi-answer outputs, so v1.0 and v1.1 scores are not comparable. State the version when citing.
  • The Sep 2026 SkyRL recipe releases its training script, Qwen3.5-397B and Qwen3.6-35B RL weights, and eval traces. Mercor reports that data quality mattered more than algorithm choices.
  • The Mercor-Intelligence GitHub org publishes Archipelago (Apache-2.0), apex-swe (MIT), apex-evals (CC-BY-4.0) and ApexAgents-SkyRL-Recipe, plus Harbor and aira-dojo forks.
  • The Oct 2026 human-baseline study gives CPA reference scores for APEX-style accounting tasks.

For program managers

  • Frontier-lab ties: Fortune (Jul 2026) names Anthropic and OpenAI. Foody claims all Mag Seven except Tesla are customers. The Information, via PYMNTS, reports Nvidia as a Nemotron data customer. Meta reportedly paused contracts after the Mar 2026 breach, and whether it resumed is unconfirmed.
  • Scale signals: company-stated ~$2B ARR in June 2026. The Information (via a secondary outlet) reports ~$614M H1 2026 revenue with ~91% from foundation-model companies, so customer concentration is high.
  • Two RL-environment acquisitions in 2026: Sepal AI in February and Deeptune, announced in July. Deeptune appears as its own NYC team on the careers page.
  • Funding: the ~$20B raise (and Nvidia's possible participation) is reported talks only. No close was announced as of 2026-10-05, so $10B (Series C, Oct 2025) is the last confirmed valuation.
  • Leadership: Kevin Shiau (ex-Tesla) joined as CFO in June 2026.

For data ops

  • The published RL recipe uses Docker images for world environments, MCP servers for tools and Harbor for environment and trial management, so Harbor- and MCP-compatible pipelines are publicly demonstrated.
  • The trust center at trust.mercor.com shows no readable SOC 2 or ISO certification. The Mar 2026 LiteLLM supply-chain breach reportedly exposed PII, source code and API keys and led to contractor lawsuits. Ask for the June 2026 incident update and current attestations during due diligence.
  • The careers page (2026-10-05) lists 6 open security roles.

Benchmarks & research

10 published
Human-baseline study with 12 licensed CPAs on four month-end close scenarios.
CPAs averaged 37%. Claude Opus 5 scored 100%, at $0.21 versus $10.35 per criterion met.
APEX-Agents 1.1benchmark · 8 Sep 2026
Revised APEX-Agents with expert-audited tasks (3 audits each), a judge that penalizes scattergunning (DeepSeek-v4-Flash-0731) and MCP tool fixes. Dataset: huggingface.co/datasets/mercor/apex-agents-v1.1.
Leader at launch: Claude Fable 5.1 at 68.6% Pass@1
ApexAgents-SkyRL-Recipepaper · 1 Sep 2026
Open RL training recipe on APEX-Agents data using SkyRL and Harbor. Training code, Qwen3.5-397B and Qwen3.6-35B weights and eval traces are released (Hugging Face collection mercor/apexagents-skyrl-recipe).
Qwen3.5-397B-A17B Pass@1 on APEX-Agents rose from 16.11% to 27.29%
SWE-Marathon-Extbenchmark · 11 Aug 2026
Twelve tasks that each ask an agent to build a full SaaS product clone (Calendly, Figma, HubSpot, Linear, Notion, Shopify and others), graded with deterministic backend tests and computer-use UI tests.
Pass rates from 74% (GPT-5.6 Sol) to 27% (GLM-5.2) across 8 models
APEX-Accountingbenchmark · 31 Jul 2026
Month-end close and bookkeeping agent tasks across 10 simulated companies, built in partnership with Ramp. Sample tasks: huggingface.co/datasets/mercor/apex-accounting-harbor.
At launch the top model (Claude Fable 5) scored 56.4%, and 58% of tasks were never fully solved. Current leaderboard top: Claude Opus 5.5 Max at 61.8% ± 4.0% (accessed 2026-10-05).
APEX-Agentsbenchmark · Jan 2026
Long-horizon, cross-application agent tasks in professional-services roles. Datasets are huggingface.co/datasets/mercor/apex-agents (v1) and mercor/apex-agents-v1.1. The leaderboard page now references v1.1.
Leaderboard top: Gemini 4 Argon at 82.2% ± 4.4% (accessed 2026-10-05). The leaderboard's metric may differ from the 68.6% Pass@1 reported at the v1.1 launch.
APEX-SWEbenchmark · Jan 2026
Software-engineering integration and observability tasks, built in partnership with Cognition. Dataset: huggingface.co/datasets/mercor/APEX-SWE. Code: github.com/Mercor-Intelligence/apex-swe (MIT).
Leaderboard top: Opus 5.5 Max at 67.6% ± 5.9% Pass@1 (accessed 2026-10-05)
Single-turn professional tasks in investment banking, management consulting, corporate law and primary-care medicine. The dataset is at huggingface.co/datasets/Mercor/APEX-v1.
Leaderboard top: Gemini 4 Argon at 75.7% ± 2.3% (accessed 2026-10-05)
Open-source Python harness (Apache-2.0) for running and evaluating AI agents against RL environments. Used for APEX-Accounting.
Mercor's APEX hub hosts leaderboards for two partner-built benchmarks: FrontierCode (Cognition; coding tasks from open-source repos, graded on maintainability and style) and Harvey LAB (Harvey; agentic legal tasks). The hub also lists Mercor-extended versions of open benchmarks (BrowseComp, GDPval, HLE, Terminal-Bench 2.1 and others). These benchmarks were built by partners, not authored by Mercor.

Products

Human data & evals ↗
Expert-sourced training data, rubrics and evaluations. The homepage claims '30k+ experts', a $108/hr average contracted rate and $4M+ in daily payouts. The Deeptune post claims a network of 'more than five million domain experts'.
RL environments (incl. Deeptune platform) ↗
Simulated enterprise-app environments ('training gyms') plus expert-written tasks and verifiers for agent RL. Deeptune's platform was added through the acquisition announced 2026-07-09.launched Jul 2026
APEX benchmarks & leaderboards ↗
APEX-Agents, APEX-Accounting (with Ramp), APEX-SWE (with Cognition) and APEX-1 leaderboards, plus hosted partner and extended benchmarks.
Enterprise AI / Deploy Agents ↗
Agent deployment and workflow-mapping offering for enterprises, listed in site navigation. The careers page has a separate 'Enterprise Agents' team.
Data monetization ↗
Workflow-data licensing with automated anonymization, listed in site navigation.
Archipelago (open source) ↗
Apache-2.0 Python harness for running and evaluating agents against RL environments.

Scale & velocity

Current headcount
Full-time staff not publicly disclosed (Wikipedia: ~300 employees, 2025; LinkedIn band 51-200 per baseline). The homepage claims 30k+ experts, and a Mercor blog post claims a network of 5M+ domain experts. 107 open roles as of 2026-10-05.reported cite
Headcount growth
unknown
Open roles
107 (careers page, 2026-10-05)confirmed cite
Other locations
New York City, NY, USA, London, UK, Mexico City, Mexico (select roles)confirmed cite
Distributed / remote
yesreported cite

Research depth

Has researchers
yesconfirmed cite
Researcher count
unknown
Backgrounds
Founders Brendan Foody, Adarsh Hiremath, Surya Midha are Thiel Fellows and college dropouts (not research-lab veterans), Sundeep Jain (President, hired May 2025) ex-Uber CPO/SVP Eng and ex-Google VP Productreported cite

Capital

Total raised
~$492M across 4 rounds (Seed ~$3M+, Series A $30M, Series B $100M, Series C $350M)reported cite
Last round
Series C, $350M, October 2025confirmed cite
Investors
Felicis Ventures (led Series C and Series B), Benchmark, General Catalyst, Robinhood Venturesconfirmed cite
Valuation
$10B (Series C, Oct 2025)confirmed cite
Revenue signals
Company-stated $2B ARR in June 2026, up from a $1B run rate four months earlier (Foody to Fortune, 2026-07-09). Reported H1 2026 revenue ~$614M, ~91% from foundation-model companies, gross margin ~33% in Q2 2026 (The Information, via a secondary outlet). The homepage claims $4M+ in daily payouts.reported cite

Security & compliance

SOC 2
unknown cite
Other certifications
unknown
Security page
https://trust.mercor.com/confirmed cite

Product

What they sell
mixedconfirmed cite
Open source
partial (open eval harness Archipelago, APEX datasets, apex-swe, apex-evals, SkyRL training recipe and weights; core services proprietary)confirmed cite
License
mixed: Archipelago Apache-2.0; apex-swe MIT; apex-evals CC-BY-4.0; commercial services proprietaryconfirmed cite
Deployment model
managed-hosted (managed service / marketplace; RL environments delivered as a service to labs)estimated cite
Maturity
GAreported cite
Notable customers
⚑OpenAI verified ⚑Anthropic verified ⚑Google DeepMind reported ⚑Meta reported (contracts reportedly paused Apr 2026; current status unconfirmed) ⚑Nvidia reported cite

Buyer analysis

Best fit: Buyers who want one managed partner for large-scale expert-validated human data, professional-domain evals (finance, law, medicine, accounting, SWE) and enterprise-app RL environments with expert tasks and verifiers.

How we verified this

2026-10-05 refresh: I opened every cited source except Forbes, which returned 403. Its ~$500M round size, and the General Catalyst attribution that had no source, were dropped. The $20B talks are now sourced to SiliconANGLE and PYMNTS as 'reported', and no closed funding event exists in the window, so funding_events stays empty and $10B is the last confirmed valuation. The Deeptune acquisition, the Fortune revenue and customer statements, the TechCrunch breach fallout, and all Mercor blog posts (APEX-Accounting, SWE-Marathon-Ext, SkyRL recipe, APEX-Agents 1.1, eval throughput, human baselines) match their sources, with dates inside the window; I added model names and exact figures where the draft was vague. Corrections: open roles are 107, not 109. Ramp was removed from customers because it is a benchmark partner. Meta, Nvidia and Google DeepMind were downgraded from 'verified' to 'reported'. The unsourced '30k weekly active contractors' claim was removed, and both company-stated expert-network figures (30k+ on the homepage, 5M+ in the Deeptune post) are presented. ACE was dropped because Mercor no longer lists it. Additions the researcher missed: the Kevin Shiau CFO hire (Jun 2026), the June 2026 security-incident update post (contents unreadable), and the partner benchmarks hosted on the APEX hub. Photos: Foody and Shiau headshots come from Mercor's own blog bylines (Sanity CDN); both return HTTP 200 images and I checked visually that each is a single-person headshot. No verifiable official headshots were found for Hiremath, Midha or Jain, so those are left blank.

Related vendors

Sources

  1. www.mercor.com/blog/ · 2026-10-05, Blog index: CFO post and security update (Jun 25), Deeptune (Jul 9), APEX-Accounting (Jul 31), SWE-Marathon-Ext (Aug 11), SkyRL guide (Sep 1), APEX-Agents 1.1 (Sep 8), eval throughput (Sep 30), human baselines (Oct 1)
  2. www.mercor.com/blog/mercor-to-acquire-deeptune/ · 2026-10-05, Official Deeptune announcement by Brendan Foody; 5M+ experts claim; NYC expansion; source of Foody headshot
  3. siliconangle.com/2026/07/09/mercor-buys-deeptune-build-training-environm · 2026-10-05, Deeptune CEO Tim Lupo; $43M a16z Series A (Mar 2026); terms undisclosed; early talks at ~$20B valuation
  4. fortune.com/2026/07/09/ai-unicorn-mercor-acquires-deeptune-brendan-foody · 2026-10-05, $2B ARR in June 2026; Anthropic and OpenAI as customers; Mag Seven claim; Foody quotes
  5. www.forbes.com/sites/richardnieva/2026/07/09/mercor-fundraise/ · 2026-10-05, Returned 403; contents not verified (the draft's ~$500M round size is unconfirmed)
  6. www.pymnts.com/news/investment-tracker/2026/nvidia-weighs-investment-in- · 2026-10-05, Aug 19 2026: Nvidia discussed joining the round at $20B; Mercor supplies Nemotron data; round size undisclosed
  7. www.theinformation.com/articles/nvidia-discusses-funding-ai-data-supplie · 2026-10-05, Paywalled original; headline only
  8. finance.biggo.com/news/865c23cb-3e0d-4c21-aa0d-6bf2a7fc8d1a · 2026-10-05, Secondary aggregator summarizing The Information: H1 2026 revenue ~$614M, ~91% from foundation-model companies, margins
  9. techcrunch.com/2026/04/09/after-data-breach-10b-valued-startup-mercor-is · 2026-10-05, Breach fallout: Meta pause (via Wired), OpenAI investigating, five contractor lawsuits
  10. www.mercor.com/blog/why-i-joined-mercor-kevin-shiau/ · 2026-10-05, Kevin Shiau joins as CFO (2026-06-25); source of his headshot
  11. www.mercor.com/research/ · 2026-10-05, APEX papers and datasets; current top scores; 'top 5 AI labs and 6 of the Mag 7' self-claim; ACE not listed
  12. www.mercor.com/apex/ · 2026-10-05, APEX hub: APEX-Agents, APEX-Accounting (Ramp), APEX-SWE (Cognition), APEX-1; partner benchmarks FrontierCode and Harvey LAB; extended benchmarks
  13. mercor.com/apex/apex-accounting-leaderboard/ · 2026-10-05, Leaderboard top Opus 5.5 Max 61.8%; arXiv 2607.27189; HF mercor/apex-accounting-harbor
  14. mercor.com/apex/apex-agents-leaderboard/ · 2026-10-05, Leaderboard top Gemini 4 Argon 82.2% ± 4.4%; references v1.1
  15. www.mercor.com/apex/apex-swe-leaderboard/ · 2026-10-05, Top Opus 5.5 Max 67.6% ± 5.9%; built with Cognition
  16. mercor.com/apex/apex-v1-leaderboard/ · 2026-10-05, Top Gemini 4 Argon 75.7% ± 2.3%
  17. www.mercor.com/blog/introducing-the-ai-productivity-index-for-accounting · 2026-10-05, APEX-Accounting launch with Ramp; launch scores; Archipelago
  18. www.mercor.com/blog/training-frontier-knowledge-work-agents-a-397b-rl-tr · 2026-10-05, SkyRL, Harbor, Docker and MCP RL recipe; Pass@1 16.11% to 27.29%; released assets
  19. www.mercor.com/blog/introducing-apex-agents-1-1/ · 2026-10-05, APEX-Agents 1.1 changes; Claude Fable 5.1 leads at 68.6% Pass@1
  20. www.mercor.com/blog/swe-marathon-ext-can-ai-build-a-whole-saas-product/ · 2026-10-05, SWE-Marathon-Ext: 12 clones, 8 models, 74% to 27%
  21. www.mercor.com/blog/how-we-20x-llm-eval-throughput/ · 2026-10-05, Eval scheduler redesign; 20x throughput (self-reported)
  22. www.mercor.com/blog/human-baselines-for-benchmarks-ai-now-outperforms-ju · 2026-10-05, 12 CPAs averaged 37%; Claude Opus 5 scored 100%; $0.21 vs $10.35 per criterion
  23. github.com/Mercor-Intelligence · 2026-10-05, Archipelago (Apache-2.0), apex-swe (MIT), apex-evals (CC-BY-4.0), ApexAgents-SkyRL-Recipe; Harbor and aira-dojo forks
  24. www.mercor.com/careers/ · 2026-10-05, 107 open roles with department breakdown; offices SF, NYC, London, Mexico City; TIME100 AI 2026 mention for Foody
  25. www.mercor.com/ · 2026-10-05, Homepage: 30k+ experts, $108/hr average, $4M+ daily payouts; Ramp and Cognition benchmark partnerships; product navigation
  26. en.wikipedia.org/wiki/Mercor · 2026-10-05, Founder roles (Midha board chairman); Sundeep Jain hired May 2025; Meta 'temporary pause'; Deeptune acquisition
  27. research.contrary.com/company/mercor · 2026-10-05, Founder education (Georgetown, Harvard); Sundeep Jain ex-Uber CPO/SVP Eng and ex-Google VP PM
  28. trust.mercor.com/ · 2026-10-05, Trust center; no certifications readable from the public page
  29. techcrunch.com/2025/10/27/mercor-quintuples-valuation-to-10b-with-350m-s · 2026-06-07, Series C $350M, $10B valuation, ~$500M ARR target, investors, 30k experts, $1.5M/day
  30. www.orrick.com/en/News/2026/02/Mercor-Acquires-Sepal-AI · 2026-06-07, Mercor acquired Sepal AI Feb 6 2026; Sepal specializes in training data, eval benchmarks, RL environments for frontier LLMs
  31. theaiinsider.tech/2025/10/29/mercor-raises-350m-to-scale-expert-driven-a · 2026-06-07, Customers OpenAI, Google DeepMind, Meta; 30k experts at avg $85/hr
  32. tracxn.com/d/companies/mercor/__764DkS7wJgmA1B8PuOw3_4HUbgJcaKjh8xY9UxvB · 2026-06-07, Total ~$492M over 4 rounds; Seed (General Catalyst), Series A $30M (Benchmark, $250M val), Series B $100M ($2B val), Series C $350M
  33. techcrunch.com/2026/03/31/mercor-says-it-was-hit-by-cyberattack-tied-to- · 2026-06-07, March 2026 supply-chain breach via LiteLLM compromise
  34. newsletter.semianalysis.com/p/rl-environments-and-rl-for-science · 2026-06-07, SemiAnalysis: incumbents (Scale, Mercor, Turing, Surge) leveraging contractor networks to move into environment/task creation
Last updated 2026-10-05 · Every quantitative field carries a source and a confidence tag. Fields we could not source publicly are marked unknown, never estimated. See the methodology.