Surge AI vs Mercor: which expert-data company should you hire in 2026?
Answer in brief: Surge AI and Mercor are both expert networks, a subcategory of human data, and both sell post-training data, evaluations and RL environments to frontier labs. Surge AI is the quality-first specialist. It is strongest on coding, STEM, writing and agentic data, offers an off-the-shelf catalog that eligible labs can train on before paying, and publishes training results. Mercor is the professional-workforce giant. It says it has 5M+ experts (physicians, lawyers, engineers and consultants) and an average contracted rate of $90/hr, and its APEX benchmarks are built on real professional work, including with partners such as Harvey and Cognition. Pick Surge for frontier reasoning and coding signal. Pick Mercor for professional-domain data and evaluations that match how lawyers, accountants and engineers actually work.
Top pick: Mercor for professional-domain data. Surge AI for frontier coding and reasoning. Mercor's licensable APEX-style task sets and same-day samples get legal, finance and medical projects moving fast. Surge's pay-if-it-improves offer makes it the low-risk bet for core model capability. Visit Mercor → · Visit Surge AI →
This page is independent research based on each company's own website and current public reporting, checked November 9, 2026. We did not test either service hands-on. Company figures are self-reported unless we say otherwise. This site earns revenue from vendor sponsorships, which are labelled where they appear.
Two expert networks, two philosophies
Both companies recruit credentialed people to write, grade and correct model outputs. The difference is what they emphasize. Surge talks about the richness of human intelligence and backs that with published model-improvement studies. Mercor talks about the economic value of professional work. It publishes benchmarks of agents doing real legal, accounting, engineering and software tasks, and it also helps companies sell their own workflow data.
Head-to-head comparison
| Factor | Surge AI | Mercor |
|---|---|---|
| Expert network claim | 200,000+ PhDs; 500+ disciplines; 80 languages | 5M+ experts; $90/hr average contracted rate; $4M+ daily payouts |
| Strongest domains | Coding agents, STEM, writing, multimodal reasoning | Law, finance, consulting, medicine, accounting, engineering, software |
| Off-the-shelf data | Coding, enterprise-agent, multimodal and expert-reasoning sets | 50K+ tasks across 30+ domains, e.g. APEX-Agents (2,620 tasks), SWEBench Ext. (12,000) |
| Benchmarks | Tuesday Work Index, DAYJOB, Riemann-bench, Hemingway-bench | APEX-Agents, APEX-Accounting, APEX-SWE (with Cognition), Harvey LAB |
| Extra lines of business | Training Lab (trains models on Surge data) | Data monetization; enterprise AI with forward-deployed engineers |
| Reported scale | $1.2B revenue in 2024 (Forbes) | $10B valuation (CNBC, Oct 2025) |
| Pricing | Custom; pay-if-it-improves for eligible labs | Custom, through sales; free samples |
Surge AI: proof before payment
Surge's product list covers RL environments and agents, rubrics and verifiers, RLHF, SFT, human evaluation, expert professional domains, internationalization and multimodal data. Its Training Lab reports results such as GLM-4.7 improving from 22.7% to 47.6% on held-out Expert STEM tasks. Those are company-reported numbers, but few rivals publish anything comparable. Surge says it has been profitable without raising venture funding.
Mercor: professional work as training signal
Mercor's benchmarks show its approach. Harvey LAB is an attorney-built set of 1,749 real legal tasks across 24 practice areas, graded on finished work such as memos and redlines. APEX-Accounting tests agents working across accounting software, spreadsheets and PDFs. Its off-the-shelf catalog is pre-built and peer-reviewed by domain experts, with sample tasks delivered the same day and licenses for commercial training. Mercor also runs a data-monetization program whose automated anonymization masks 60+ categories of sensitive identifiers.
When to pick which
- Pick Surge AI to raise core reasoning, coding or agentic ability and to see published training evidence first.
- Pick Mercor when your model or agent has to do real professional work (legal drafting, underwriting, accounting, engineering review) and you want evaluations graded to professional standards.
- Pick Mercor if you want ready-made agent and coding task sets right away, such as SWEBench Ext. or TerminalBench.
- Compare more expert networks on our alternatives to Mercor page.
Pricing models
Both quote custom prices. Mercor publishes what experts earn ($90/hr average contracted rate). That shows the cost of the talent behind the data, not the price you will pay. Surge's off-the-shelf data can be bought on a pay-if-it-improves basis by eligible labs.
FAQ
Is Mercor bigger than Surge AI?
They report different measures. Mercor claims 5M+ experts and was valued at $10B by CNBC in October 2025. Forbes reports Surge had $1.2B of 2024 revenue. The figures are not directly comparable.
Can I license datasets from both?
Yes. Both sell off-the-shelf datasets. Mercor's catalog lists 50K+ tasks across 30+ domains. Surge's covers coding, enterprise-agent, multimodal and expert-reasoning data.
Which is better for legal or financial AI?
Mercor. Its benchmarks and datasets are built around professions such as law, finance and accounting. Surge covers professional domains too, but its published results focus on coding, STEM and agentic skills.
Keep exploring the directory
Back to the full directory of training data companies · Surge AI review · Mercor review · Scale AI vs Surge AI · Mercor vs micro1