Mercor vs Surge AI: How They Compare in 2026
Patronus AI TeamNovember 20266 min read
Patronus AI, which builds RL environments, publishes this comparison and is neither company. Every fact about each company comes from its own pages, read on Nov 11, 2026 and linked under its section.
As of November 2026
Mercor and Surge AI both run networks of domain experts that produce human data, evaluations and RL environments for AI labs. Mercor, founded in 2023, also sells enterprise AI deployment and publishes the APEX benchmarks of professional work, and lists SOC 2 Type 2. Surge AI sells RL environments, rubrics and verifiers, RLHF and evaluation data, with a ready-made catalog, publishes benchmarks such as DAYJOB, and lists no certifications on its site. Choose by domain, by the benchmarks closest to your work and by the security you need.
Mercor and Surge AI both sell expert data, evaluations and RL environments, ready-made and custom, so the differences are in emphasis, benchmarks and what each lists about itself. This page compares them as of November 2026, from each company’s own pages.
Snapshot as of
Mercor and Surge AI at a glance
Each cell is what the company states on its own pages, as of Nov 11, 2026.
| Criterion | Mercor | Surge AI |
|---|---|---|
| In its own words | “A leading AI data company” | “Raise AGI with the richness of humanity” |
| Founded, headquarters | 2023, San Francisco | Not stated on its site; headquartered in the United States |
| Leadership | Co-founders and co-CEOs Brendan Foody and Adarsh Hiremath | Not named on its site |
| What it sells | Expert human data, evaluations, benchmarks and RL environments, plus enterprise AI deployment | RL environments, rubrics and verifiers, RLHF and evaluation data |
| Who does the work | A network of domain experts vetted with AI interviews | Domain experts and specialists in its own network |
| RL environments | Built in three steps (world, tools, tasks and verifiers); Deeptune acquisition announced Jul 9, 2026 | Ready-made tool use environments and custom ones in its programs |
| Benchmarks and research | APEX benchmarks, and hosted partner leaderboards such as Harvey LAB | DAYJOB, EnterpriseBench and other public benchmarks |
| Security (its own site) | SOC 2 Type 2 | Not listed on its site |
| How to buy | Contact its team or book a demo | Contact its team, start a pilot or request its catalog |
Mercor
Mercor calls itself “a leading AI data company, building the layer between human expertise and frontier models.” It was founded in 2023 and is headquartered in San Francisco, with offices in New York and London. Its trust center describes Mercor as “a better way to hire,” using AI to match talent with opportunities.
Its co-founders and co-CEOs are Brendan Foody and Adarsh Hiremath, as of Nov 11, 2026.
What Mercor offers
- Human data and evaluations from domain experts, such as physicians, lawyers, engineers and consultants, vetted with role-specific AI interviews.
- RL environments, which it builds in three steps: a realistic world with its data, the tools and applications an agent uses, and tasks with verifiers. On Jul 9, 2026 it announced it would acquire Deeptune, a company that builds RL environments.
- Off-the-shelf datasets that are pre-built and ready to license, and custom projects that can cover agent environments and new verticals.
- The APEX benchmarks (the AI Productivity Index), which measure how models perform economically valuable tasks, plus leaderboards it hosts for partner benchmarks such as Harvey’s open-source legal benchmark, Harvey LAB.
- Evaluations for enterprises, and enterprise AI deployment with forward deployed engineers.
Considerations
- Its trust center lists SOC 2 Type 2 as of Nov 11, 2026, and no other certification.
- Its environment work is described across its research page, its dataset catalog and its blog, not on one product page.
Best for: Teams that want working professionals to write tasks, rubrics and evaluations, with benchmarks built on professional work.
Sources: mercor.com/mission, mercor.com, mercor.com/research, mercor.com/blog/mercor-to-acquire-deeptune, mercor.com/apex/off-the-shelf-data, mercor.com/apex, mercor.com/enterprise-evals, trust.mercor.com
Surge AI
Surge AI says its mission is “to raise AGI with the richness of humanity.” Its company is Surge Labs, Inc., and its privacy policy says it is headquartered in the United States.
Its site does not state a founding year or name its leaders, as of Nov 11, 2026.
What Surge AI offers
- RL environments and the verifiers that reward agent behavior, both ready-made, such as long-horizon tool use environments across office documents and enterprise workflows, and custom, built within its enterprise programs.
- Human data for supervised fine-tuning and RLHF, rubrics and verifiers, and human evaluation, including multimodal work.
- An off-the-shelf catalog of training data, evals and RL environments, in coding agents, enterprise agents, multimodal reasoning and expert reasoning.
- Public benchmarks such as DAYJOB (tax, healthcare and finance) and EnterpriseBench: CoreCraft, a benchmark that tests agents in a large simulated startup environment.
- Programs staffed by doctors, lawyers, engineers, researchers, finance professionals and other specialists.
Considerations
- Security certifications are not listed on its site, as of Nov 11, 2026.
Best for: Teams that want RL environments, ready-made or custom, alongside expert data, rubrics and evaluation.
Sources: surgehq.ai, surgehq.ai/products, surgehq.ai/ots, surgehq.ai/enterprise, surgehq.ai/benchmarks, surgehq.ai/research, surgehq.ai/privacy-policy
Key differences
- Emphasis. Mercor leads with its expert network and also sells enterprise evaluations and AI deployment. Surge AI’s products page leads with RL environments, then rubrics and verifiers, RLHF and evaluation, and it sells programs to enterprises too.
- RL environments. Mercor builds environments from worlds, tools, tasks and verifiers, and announced on Jul 9, 2026 that it would acquire Deeptune, an RL environment company. Surge AI sells ready-made long-horizon tool use environments and builds custom ones in its programs.
- Benchmarks. Mercor’s APEX benchmarks cover professional work such as law, banking, consulting and accounting. Surge AI’s benchmarks include DAYJOB for tax, healthcare and finance work, and EnterpriseBench.
- What each says about itself. Mercor’s site gives its founding year (2023), its headquarters and its co-founders. Surge AI’s site names neither a founding year nor its leaders, as of Nov 11, 2026.
- Security. Mercor’s trust center lists SOC 2 Type 2. Surge AI lists no certifications on its site, so ask it directly.
How to choose
Choose Mercor if your tasks need working professionals, such as lawyers, bankers or physicians, or if its APEX benchmarks match the work you want your model to learn.
Choose Surge AI if you want RL environments with rubrics, RLHF and evaluation data, or if its ready-made catalog covers your domain.
Either way, ask for samples, ask how graders are checked against reward hacking, and confirm the certifications your data requires.
Where Patronus AI fits
Patronus AI, which publishes this page, is a behavioral research lab for AI that builds RL environments and the data inside them, in coding, knowledge work, computer use and more. It sells a set of ready-made environments, though most of its work is custom, and domain experts review every environment before delivery.
As of Nov 11, 2026, from each company’s own pages.
| Criterion | Patronus AI | Mercor | Surge AI |
|---|---|---|---|
| What it is | A behavioral research lab that builds RL environments and data | An AI data company built on an expert network | A company that sells RL environments and human data, with its own expert network |
| What it sells | Ready-made and custom RL environments, and parts such as simulated apps and mock websites | Expert human data, evaluations, benchmarks and RL environments, plus custom AI agents for enterprises | RL environments, ready-made or custom, plus human data, rubrics and evaluations |
| Quality checks | Domain expert review and automated checks on every environment, plus its own training runs | Rigorous tasks and verifiers for its RL environments, and expert-authored rubrics with an LM judge on its APEX benchmarks | Expert rubrics and verifiers it designs, human evaluation, and post-training runs on its own data |
| Research | 20 papers as of Nov 11, 2026, including at NeurIPS, ICML and ACL | The APEX benchmarks, with papers on arXiv | Research papers on arXiv, and public benchmarks such as DAYJOB and EnterpriseBench |
For more options, see Mercor alternatives, Surge AI alternatives and RL environment companies.
Frequently asked questions
What is the difference between Mercor and Surge AI?
Both run networks of domain experts that produce human data, evaluations and RL environments. Mercor also sells enterprise AI deployment, publishes the APEX benchmarks and lists SOC 2 Type 2. Surge AI sells RL environments, rubrics and verifiers, RLHF and evaluation data, with a ready-made catalog, publishes benchmarks such as DAYJOB and lists no certifications on its site.
Do Mercor and Surge AI sell RL environments?
Yes, as of November 2026. Surge AI sells ready-made tool use environments and builds custom ones. Mercor builds environments and announced on Jul 9, 2026 that it would acquire Deeptune, an RL environment company.
Which security certifications do Mercor and Surge AI list?
As of Nov 11, 2026, Mercor’s trust center lists SOC 2 Type 2. Surge AI’s site lists no certifications.
What are the alternatives to Mercor and Surge AI?
Other companies that supply expert data or RL environments include Scale AI, Turing, Snorkel AI, Labelbox, Invisible and Patronus AI. Our Mercor alternatives and Surge AI alternatives pages compare them.
Is there an alternative to both?
Yes. Mercor and Surge AI both sell expert data alongside RL environments. For teams whose main need is the environments themselves, Patronus AI, which publishes this page, is a behavioral research lab that builds ready-made and custom RL environments and the data inside them. Talk to Patronus AI, or see the other options on the alternatives pages linked above.
How was this comparison made?
Patronus AI wrote it from each company’s own pages, read on Nov 11, 2026 and linked under each company’s section. It is a dated snapshot. Products, leaders and certifications change, so check each company’s site before you buy.
Snapshot as of