Prolific - 2026 Pricing, Features, Reviews & Alternatives

Prolific is a cloud-based, web-based participant recruitment platform that connects researchers, product teams, and AI/ML developers with a large, internationally diverse pool of pre-verified participants. Designed for academic researchers, behavioral and social scientists, market researchers, UX researchers, and AI developers at organizations of all sizes, the platform supports high-quality human data collection for surveys, behavioral experiments, market research, and AI/ML model training, evaluation, and monitoring. Customers include leading institutions such as Stanford University and industry organizations such as Google.

The platform offers 300+ demographic filters and prescreening tools to target specific participant groups, with representative sampling by sex, age, and ethnicity for US and UK populations. Study setup is fully self-service with no contract or subscription required, operating on a transparent pay-per-response pricing model. Researchers can preview available pool size before launching via an audience checker, message participants without compromising anonymity, and run longitudinal, dyadic, and economic study designs. Follow-up and retargeting of prior respondents, collaboration workspaces, team management tools, and API access for automated and large-scale data collection pipelines are all available. The platform integrates with Qualtrics, SurveyMonkey, Gorilla, Typeform, and other tools via link or API, requiring no platform migration.

For AI and ML workflows, Prolific supports Reinforcement Learning from Human Feedback (RLHF) pipelines, enabling developers to collect human feedback for training, fine-tuning, and aligning AI models. Participants can annotate data, evaluate model outputs, label datasets, and provide preference rankings. Participant filtering by AI-task proficiency and API automation support projects ranging from thousands to millions of tasks. Continuous participant quality monitoring, rejection of consistently poor responders, and a diverse verified pool support auditable, bias-reduced AI training datasets. Ethical research standards are enforced through a minimum hourly participant pay rate and a Fairwork partnership.