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Check
Catch bad data before it skews your results
Automate your sample cleaning needs with pre-defined rules, and smart AI agents
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Automate cleaning with post-survey defense
Fairgen Check is your final line of defense against bad respondents, automating more cleaning so you can focus on real insights.
Get instant scorecards with pre-built checks
In just minutes, Fairgen Check runs optimized tests across both close- and open-ended questions. Remove speeders, straightliners, and suspicious respondents with your first seamless pass.
Go deeper with agentic checks
Layer in context only you know. Our AI agents surface inconsistencies, automate manual reviews, and flag hidden issues that traditional tools can’t see.
Customize to your standards
Decide which pre-built checks matter, set thresholds, and add your own expertise. With agentic checks, our agents adapt to your logic — hunting down the exact problems you care about.
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Upload
Send your survey export (.sav, .xls, .parquet, .csv)
Outliers
Run automated outlier detectors (behavior, speeding, duplicates, open-ended quality, etc.)
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Agentic
Replicate human-first checks with AI agents (row-level coherence, contextual inconsistencies)
Export
Get a clean dataset + shareable QA report with flagged IDs and reasons
Raise the bar for sample integrity
Automation with integrity. Fairgen Check keeps your standards high and your data trusted.
Save hours of manual cleaning
Flag issues in minutes, not days.
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Surface more outliers
Catch what manual review and basic checks miss.
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Build trust in every dataset
Transparent scoring and explanations.
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Confident decision-making
Reliable data for reporting, modeling, and insights.
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Fairgen Check has enabled us to build faster, more proactive processes to verify data quality in real time - whatever the source - and take corrective action to ensure more reliable insights.
Thomas Duhard
Head of Data Projects, IFOP
How Fairgen Check finds unwanted behavior
Each check targets a signal of low-quality or unreliable responses. Together, they catch what manual review and basic rules miss.
Book a demo
Ready to trust your data again?
Contact usFrequently Asked Questions
New to AI-augmented insights? Here are the questions we hear most, and the answers you need
How is it different than reweighting?
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In a nutshell, Fairgen will reduce your niche segment's margin of error while classic reweighting techniques will not.
When applying different weights for specific segments in a quantitative surveys there is no impact on confidence intervals for that group.
Can Fairgen augment qualitative questions?
No. Fairgen’s can augment only quantitative fields.
Can Fairgen handle any type of data?
Yes. Fairgen is equipped to handle any quantitative (close-ended) data points that can be exported in a columnar format (single and multiple choice questions, rankings, NPS, continuous open-ended, ratings, and more). Fairgen automatically recognizes field types and conditional relationships between questions.
How is the technical validation process for Fairboost?
In short, you will run several parallel testing processes that will compare the efficiency of synthetic data versus real data.
The primary method used by our clients is "Parallel testing", using as a base existing datasets. By the end of it, our predictive technology's accuracy and coherence both on aggregated and granular results can be determined.
The process is simple: you will provide a fraction of an existing sample from a given segment for Fairgen to be trained on, so we can mimic a situation where you have scarce data. Let's say 10% of it. The remaining of it will be used as the ground truth and Fairgen will generate a synthetic dataset that was trained on only 10% of it. We will then compare its reliability against samples of the "ground truth".
We guarantee a reliable and coherent augmentation that will perform significantly better than what our models were trained on.
What is the impact of Fairboost on Insights teams?
Insights teams can make better niche go-to-market decisions by having fast and affordable access to data that was before too hard, or impossible, to get. It provides insides teams with the ability to zoom in on sub-segments and gain more trust when reading these groups.
Researchers can immediately expand coverage across niche markets, while gaining fast access do data and without the need of costly traditional data collection boosts.
Access to once "impossible-to-reach" segments is an added value: by extrapolating results while maintaining high confidence levels, niche segments once considered too small, or too hard-to-reach for fieldwork boosts, can now be analyzed.
Can anyone sign up?
Yes. Currently, any organization can apply online by scheduling an introductory call with our team. Be among the first to deliver unprecedented granularity using reliable and explainable AI technology.
Can we trust synthetic data?
Absolutely - and we can prove it.
Fairgen's pioneer data augmentation solution can generate near-real synthetic results into niche segments.
As long as based on a model trained on your general audience survey.
Technical validation is a key part of every workflow in Fairgen.
