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ReDem

AI-powered quality assurance for survey data. ReDem helps market researchers detect and remove inattentive and fraudulent respondents in real time.

Software & Technology

Data & Analytics

Quantitative Research

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Last updated on July 22nd, 2025

Why choose Us

Data Quality & Reliability

What is ReDem?

ReDem is an independent, AI-powered quality assurance tool that helps market researchers automatically detect and remove low-quality survey responses. It systematically checks each interview in real time for signs of inattentiveness or fraud, such as AI-generated content, bot activity, speeding, or contradictory answers.


Why is ReDem Used:

ReDem is used to ensure higher data quality, as today’s sophisticated fraud escapes traditional checks and human review. It saves time by automating data cleaning, enables standardized quality control across teams, and provides independent quality reports that document rigorous checks, ideal for sharing with end-clients.


How ReDem Detects Bad Survey Data:

The quality checks include the analysis and categorization of open-ended responses, including detecting duplicates, gibberish, off-topic content, or AI-generated text. ReDem also performs behavioral analytics to examine keystroke patterns in text fields and distinguish between human typing, bot-like behavior, and copy-paste input. In addition, the tool runs speeding and straightlining checks and applies AI-based coherence analysis to assess whether a respondent’s answers are consistent and plausible throughout the interview.


How ReDem Can Be Used:

1. Live via API integration: ReDem connects with survey platforms to flag and exclude low-quality respondents in real time. This allows for live data cleaning and quota management.

2. Post-Fieldwork Upload: Researchers can also upload their dataset to the ReDem application for cleaning and quality assessment.


Trusted by agencies and corporate researchers alike, ReDem helps research teams deliver cleaner, more reliable survey data while boosting efficiency, saving time and building trust.

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