Emporia Research vs Surge AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionEmporia ResearchSurge AI
Target AudienceB2B market researchers needing verified professionalsAI labs needing expert human feedback for model alignment
Core OfferingLinkedIn-verified respondent pool + survey/qual toolsExpert workforce (doctors, lawyers, engineers) + RLHF benchmarks
Key FeaturesAI survey builder, automated recruitment, fraud preventionRiemann-bench, Antidote leaderboard, ComplexConstraints benchmarks
PricingContact for quote, likely per respondent or managed feeContact for quote, premium expert labor
Best ForAgencies & enterprises needing B2B survey respondentsFrontier AI labs needing rigorous, domain-specific human evaluation
Recent NewsMentioned in market research roundups; no major product newsMicrosoft used Surge to benchmark MAI-Thinking-1; launched Antidote leaderboard & Riemann-bench

These tools serve entirely different needs: Emporia Research is for B2B market research teams who need verified professional respondents for surveys and interviews, while Surge AI is for AI labs that need expert human feedback to align and benchmark frontier models. Choose Emporia if your goal is understanding human B2B audiences; choose Surge if your goal is improving AI reasoning and safety.

Try Emporia ResearchTry Surge AI
Emporia Research
Emporia Research

Recruit verified B2B and healthcare research respondents from a LinkedIn-validated audience graph of 800M+ employee records.

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Surge AI
Surge AI

Surge AI supplies expert human RLHF data, red teaming, and public benchmarks like GDP.pdf and the Tuesday Work Index for frontier model

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Pricing
Contact Sales
Contact Sales
Plans
Contact sales
—
Popularity
3 views
7.4k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Web
Web
Categories
🔭 Market & Competitive Intelligence
🏷️ Data Labeling & Training Data
Features
800M+ employee records in the audience graph
200+ targetable attributes including job title, industry, and company size
Coverage across 140+ industries
B2B audiences sourced from a LinkedIn-validated professional graph
Healthcare audiences with NPI-verified clinicians and health-system leaders
Pori AI anti-fraud engine purpose-built for B2B research
Real-time LinkedIn validation of respondent identity
Synthetic identity detection
Work email domain analysis
Response pattern monitoring to catch satisficing and fraud
Deep Signal Targeting using 3,000+ signals to locate audiences pre-screening
Programmatic sourcing engine delivering same-day data
Pay-as-you-go pricing with no annual contracts or minimum spend
mrxCore self-service platform for DIY study fielding
Managed project delivery team for end-to-end recruitment and data collection
Expert human workforce of doctors, lawyers, engineers, and writers for frontier AI data
RLHF preference data collection and human feedback for model fine-tuning and post-training
Red teaming and adversarial testing staffed with credentialed domain specialists
Off-the-shelf post-training runs built on expert evaluation data
SWE consultant network for software engineering and technical tasks
Agentic coding task sets: 1,700 tasks gave Kimi K2.7 +20.0pp on SWE-Marathon and +12.4pp on DeepSWE
GDP.xlsx benchmark for professional spreadsheet comprehension, spanning 70 tasks across 12 knowledge-work domains
sudo L7 benchmark for staff-level engineering judgment in coding agents
GDP.pdf benchmark for real-world professional document comprehension, cited in the GPT-5.6 release
Chartography benchmark for chart reasoning: Kaplan-Meier curves, candlesticks, contour maps, Bode plots
ComplexConstraints benchmark for instruction following with mutually dependent constraints
HANDBOOK.md benchmark for long-context policy adherence against expert handbooks
DAYJOB vertical benchmark suites for economically valuable agents in Healthcare and Finance
Tuesday Work Index composite benchmark scoring frontier models on real professional work
RL environments including CoreCraft and EnterpriseBench with Python SDK and REST API access
Integrations
Displayr
SurveyMonkey

What real users say: Emporia Research vs Surge AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Emporia Research

10 mentions across 1 sources · 85% positive (averaged across 1 source)

YouTube

What users praise

  • • Participants report high earnings ($200-$300 per survey).
  • • Survey takers express gratitude and satisfaction.
  • • LinkedIn-verified respondent pool sounds promising.
  • • Automated recruitment and scheduling could save time.

What frustrates them

  • • Almost no community feedback from actual research buyers.
  • • Unclear if LinkedIn verification truly reduces fraud.
  • • No independent reviews on data quality or reliability.
  • • Pricing is undisclosed, making budgeting difficult.

Researched Jul 2, 2026

Surge AI

48 mentions across 3 sources · 38% positive — critical (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Credentialed workforce of doctors, lawyers and engineers instead of generic crowd annotators
  • • GDP.pdf cited by OpenAI in the GPT-5.6 release with a concrete 30.7% flagship score
  • • Kimi K2.7 post-training run published measurable SWE-Marathon, DeepSWE and Terminal-Bench gains
  • • Benchmark catalog spans chart reasoning, dependent constraints, long-context policy and verticals

What frustrates them

  • • Contact-only pricing means no public rate card, no tiers, and no way to self-serve
  • • Benchmark sponsorship and independence questions raised directly in HN threads
  • • Expert-credential verification process is never explained in any community source
  • • No community data on support responsiveness, uptime, or SLAs at enterprise scale

Researched Oct 7, 2026

Who should pick which

  • B2B Market Research Agency
    Pick: Emporia Research

    Emporia provides LinkedIn-verified B2B respondents, automated recruitment, and project management tools tailored for agency workflows.

  • Frontier AI Lab (e.g., training GPT-5)
    Pick: Surge AI

    Surge offers expert human feedback for RLHF, red teaming, and benchmarks like Antidote and Riemann-bench to improve model reasoning.

  • Enterprise Product Team (B2B UX Research)
    Pick: Emporia Research

    Emporia can recruit professionals for user interviews and usability tests, with integrated scheduling and incentive delivery.

  • AI Safety Researcher
    Pick: Surge AI

    Surge's red teaming with domain experts and benchmarks like ComplexConstraints help identify instruction-following failures.

  • Private Equity Firm (Commercial Due Diligence)
    Pick: Emporia Research

    Emporia enables targeted surveys of industry experts and decision-makers for market sizing and competitive analysis.

Frequently Asked Questions

Emporia Research vs Surge AI: which should you choose?

These tools serve entirely different needs: Emporia Research is for B2B market research teams who need verified professional respondents for surveys and interviews, while Surge AI is for AI labs that need expert human feedback to align and benchmark frontier models. Choose Emporia if your goal is understanding human B2B audiences; choose Surge if your goal is improving AI reasoning and safety.

Can Emporia Research be used for consumer (B2C) research?

No, Emporia is specifically focused on B2B audiences with LinkedIn-verified professionals.

Does Surge AI provide simple data labeling like sentiment analysis?

While possible, Surge is optimized for complex, reasoning-intensive tasks; simpler labeling might be overkill and more expensive.

Do these tools offer free trials?

Neither offers a free trial; both require contacting sales for pricing and onboarding.

What integrations does Emporia Research support?

Emporia integrates with Displayr, SurveyMonkey, Cint, NIQ, and Pogo.

What makes Surge AI's workforce different?

Surge curates domain experts (doctors, lawyers, engineers) rather than general crowds, enabling high-quality feedback for advanced AI tasks.

Can I use Emporia for qualitative research like focus groups?

Yes, Emporia supports qualitative scheduling and AI-powered calendar management for interviews and focus groups.

What recent news is there about Surge AI?

Surge was used by Microsoft to benchmark MAI-Thinking-1, and launched Antidote leaderboard, Riemann-bench, and ComplexConstraints benchmark.

Is Emporia Research suitable for a one-time small survey?

It may be less cost-effective for small projects due to onboarding and minimum sample sizes; alternatives like SurveyMonkey might be better for low-volume needs.

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Emporia Research
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Surge AI
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Last reviewed: July 2, 2026