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Fairgen™ Check Beta
Remove unwanted samples from your dataset
Identify and remove fraudulent and compromised respondents
Clean your data for increased reliability
Add a quality assurance firewall to your data collection pipeline
Increased reliability
Ensure only high-quality data is retained for reliable insights generation
Operational efficiency
Streamline quality assurance processes across all data collected
Scalable insights
Generate trust-worthy insights that are based only on quality data


Detect fraudulent and random responses
Flag inadequate open-ended responses
Customize the process to your needs
Export



Define outlier sensitivity thresholds
Review exclusions with justifications before exporting
Download an outlier-free dataset
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