Prolific

Prolific is a human data collection platform that provides fast access to verified participants, AI taskers, and domain experts for research studies and AI training, evaluation, and safety workflows via self-serve tools, integrations, and managed services.

London, United Kingdom
Academic Research
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Artificial Intelligence
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HC Score
15
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ProlificProlific

About Prolific

About Prolific

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Prolific is a technology company that connects AI developers, researchers, and product teams with real people to quickly collect high-quality, human-derived data online. The company positions itself as creating the biggest pool of high-quality human-derived data in the world, offering an “ultimate platform” to access it for uses ranging from behavioral research to AI training, evaluation, and safety testing. The platform emphasizes participant verification, fair pay, and rigorous data-quality controls to reduce fraud, bots, and low-effort responses. Prolific highlights its internal multi-layer quality system (“Protocol”), which combines identity checks, ongoing fraud detection, in-study authenticity checks, and performance-based controls to maintain reliable results. Prolific supports both self-serve usage (pay-as-you-go) and expert-led managed services for teams needing end-to-end execution. It also provides integrations via simple links and an API to connect common research/annotation tools or custom systems. The company states it was co-founded at Oxford University in 2014 and has been trusted for 10 years by AI developers, academics, and organizations. It describes itself as a remote-first, fast-scaling business backed by $32M in Series A funding (secured in 2023).

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Solution Details
Industries
Academic ResearchArtificial IntelligenceFinance
Customer Regions
CANADAEU-ENA-MEX
Talent Regions
CANADAAS-HKGNA-MEX
Key Features
AI Task BuilderAI TaskersAPI Access

Historical Performance

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Industry tag
University of New Mexico logo
Business Case

Achieved 90% Survey Completion Over 30 Days

University of New Mexico

Researchers at the University of New Mexico needed to run a complex longitudinal study over 30 days and maintain participant engagement. They faced the challenge of executing repeated surveys across the full study period. They needed a way to keep participants involved throughout the longitudinal timeline. The research team used a platform to recruit participants and manage participation across repeated surveys. They implemented a setup that supported sending and administering surveys multiple times over the 30-day period. They relied on the platform to help coordinate ongoing participation across the study. The study achieved a 90% survey completion rate across the full 30-day period. Participant engagement was maintained through the end of the longitudinal study. The research effort successfully collected repeated survey responses over the entire 30-day timeline.

Key Results
  • 90% survey completion rate
  • 30-day longitudinal study duration

Skills

Artificial Intelligence
Industry

Project Details

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Feb 18, 2026
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