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CloudResearch is an American research technology company founded in 2012 and headquartered in New York, NY. The company provides behavioral and social scientists with access to people willing to take surveys or participate in online studies. Its users include university researchers, businesses conducting market research, and AI companies gathering training data.

CloudResearch was founded in 2012 as TurkPrime by Jonathan Robinson and Leib Litman, two academic researchers looking to improve participant recruitment for their own studies.^[1] The platform initially operated as an add on tool to Amazon Mechanical Turk (MTurk). TurkPrime made MTurk easier to use for social science research by adding features to filter participants by demographics, screen for data quality, and manage who could take part in studies.^[2] A 2016 article in Science described TurkPrime as "MTurk for the social sciences."^[3]

In 2018, the quality of data collected through Mechanical Turk declined sharply^[4][5]. TurkPrime responded by developing fraud detection and data quality tools that are used in both academia and market research ^[6][7]. This focus on data quality became a defining feature of the company and continues with AI agents.

In 2019, TurkPrime rebranded as CloudResearch to reflect its growing emphasis on research beyond Mechanical Turk. In 2022, CloudResearch launched Connect, its own participant recruitment platform operating independently of MTurk. In 2024, the company introduced Engage, a survey platform with built-in AI capabilities.

The research team at CloudResearch has published more than 25 peer-reviewed studies on data quality and survey methodology. According to Google Scholar, these publications had been cited approximately 6,900 times as of January 2026. The company has also published two books.

A 2023 study published in 'PLOS ONE' by CloudResearch examined a CDC report that claimed millions of Americans had ingested cleaning products like bleach during the COVID-19 pandemic.^[8] The CloudResearch study attributed reports of drinking bleach and using cleaning products in dangerous ways to fraudulent survey responses rather than actual behavior. The paper's findings were covered by ''U.S. News & World Report'' and ''Harvard Business Review''.^[9][10]

In 2020, CloudResearch published 'Conducting Online Research on Amazon Mechanical Turk and Beyond' through SAGE Publications. ^[11] A second book, Research in the Cloud: An Introduction to Modern Methods in Behavioral Research, is being published by Cambridge University Press in 2026. The Research in the Cloud book is an open access textbook, focused on teaching students and researchers how to use the tools of online research.

Before AI-generated responses became a concern, the main threat to online survey data came from human fraud--people misrepresenting themselves online to earn money for taking surveys^[12]. CloudResearch developed methods for detecting survey fraud and multiple independent academic studies have examined CloudResearch's data quality relative to other platforms. A 2023 study in PLOS ONE found that CloudResearch participants were more likely to pass attention checks and provide unique IP addresses compared to MTurk, Qualtrics, and other platforms.^[13] A 2025 study forthcoming in Nature Human Behaviour compared nine platforms and found CloudResearch's Connect ranked among the highest in data quality.^[14]

In response to concerns about AI-generated survey responses ^[15], CloudResearch developed detection methods analyzing behavioral signals such as mouse movements and typing patterns. A 2025 article in Science reported on CloudResearch's detection efforts, noting the company's internal testing results.^[16] The article also noted that detection methods must continue to evolve as AI capabilities advance.

In 2024, CloudResearch launched Engage, an AI-powered survey platform.

Engage was used in collaboration with the Siena College Research Institute during the 2024 US presidential election to conduct over 5,000 AI-assisted interviews with battleground state voters.^[17] The AI allowed researchers to gather both qualitative and quantitative data and analyze the data faster than traditional methods. Coverage of these polling projects appeared in CBS's Arizona affiliate, Arizona Family.^{[18] [19] [20]}.

Online research platforms face an ongoing debate about participant compensation and working conditions^[21]. Research published by CloudResearch in 2020 documented a gender-based pay gap in anonymous online labor markets. ^[22]