ReDem

ReDem, now part of Rep Data, helps research teams detect low-quality survey responses in the field with AI-powered data quality checks.

Why choose Us

Data Quality & Reliability

What is ReDem?

ReDem, now part of Rep Data, is an in-survey data quality assurance solution designed to help research teams evaluate response quality while surveys are still in field. By assessing behavior, timing, consistency, and content at the respondent level, ReDem helps detect AI-assisted fraud, inattentiveness, automation, and other forms of low-quality participation before they affect results.

As part of Rep Data’s broader data quality approach, ReDem extends Research Defender’s pre-survey fraud prevention with in-survey response evaluation, giving research teams end-to-end coverage across the survey lifecycle. This integrated approach helps reduce reliance on post-field cleanup and supports more consistent, transparent quality decisions.

ReDem applies automated quality checks during fieldwork or through post-field uploads, with results consolidated into the ReDem Score (R-Score), a clear respondent-level measure of data quality. Its in-survey modules include content and duplication checks, coherence analysis, grid pattern detection, time pattern analysis, and behavioral analysis to identify low-quality, non-human or assisted responses.

Used by agencies and enterprise research teams, ReDem helps reduce post-field remediation, improve consistency across studies, and deliver cleaner, more reliable survey data.

Research Software and Platform Details

Pricing details

• Annual subscription

Support

• Email / Help desk
• FAQs / Forum
• Knowledge base
• Live chat
• Phone
• Training
• Documentation
• Live online

Market Research Products

Behavioral Analytics Check
The Behavioral Analytics Score analyzes typing patterns to detect whether responses are naturally typed, copied, or generated by bots.
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Coherence Check
The Coherence Score uses AI to automatically detect contradictions and implausible answers across all survey responses.
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Open End Check
The Open-Ended Score uses AI to analyze and categorize open-text answers, including AI-generated, duplicate, off-topic, or nonsensical responses.
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Time Check
The Time Score measures total and per-question time to spot participants answering unusually fast or slow.
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Grid Pattern Check
The Grid Question Score detects response patterns like straightlining, zig-zagging, or other irregularities across grid questions.
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ReDem Services and Expertise

Explore market research solutions, industries, markets, and business issues covered by ReDem

• Sample Fraud Detection & Remediation
• Data Collection Management
• Online Surveys
• Survey Reporting and Analysis
• Text Analytics

Webinars

ReDem: Live Detection of Fraud, Bots & AI-Generated Responses

In this session, you’ll learn how to stay ahead of these emerging data quality threats. We’ll show you how to spot both simple and AI-powered bots, then guide you through our five core in-survey checks: from behavioral analytics that flag unnatural typing patterns to open-ended scans for AI-generated text and AI-driven coherence checks that catch inconsistent or implausible answers. You’ll leave with real-world examples and a better understanding of the techniques needed today to safeguard data quality.

Research Resources

Why Online Surveys Need Smarter Quality Assurance Now

Why AI-based coherence checks and behavioral tracking are key to protecting data quality in modern research.
by Dr. Sebastian Berger
Read the article

Crafting Questionnaires to Unlock the Full Power of Technological Fraud Detection

Enhance fraud detection with strategic survey design to maximize the effectiveness of advanced tools.
by Dr. Sebastian Berger
Read the article

The Rising Issue of Bad Data in Online Surveys: Causes and Contributing Factors

Learn how to enhance defenses and redesign surveys to combat online fraud in data collection.
by Dr. Sebastian Berger
Read the article

INFO

Contact
redem.io
Send an Email

International capabilities

• United States
• United Kingdom
• Germany
• Austria
• China
• Canada
• Netherlands
• Sweden
• Switzerland
• Slovenia
• Slovakia
• Singapore
• Qatar
• Portugal
• Poland
• Norway
• New Zealand
• Mexico
• Luxembourg
• Liechtenstein
• Japan
• Italy
• Israel
• Ireland
• Hungary
• France
• Finland
• Denmark
• Argentina
• India

Industry affiliations

• ESOMAR (International)
• VMO (Austria)
• Global Data Quality GDQ, DGOF

Key personnel

• Julia Mittermayr
• COO
• Florian Kögl
• CEO

Market Research FAQs with Expert Insights

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What's a clean plan to test parental controls and restrictions?

How should we handle family accounts and shared devices in sampling?

Prepared by Greenbook editors. Technology was used in the editorial process.