What does Fairgen do?

Fairgen is an AI platform that boosts survey data by generating synthetic respondents. It helps researchers reach rare or hard-to-access audience segments by creating predictive data that matches your existing survey structure, without requiring additional fieldwork.

Who is Fairgen best for?

Fairgen is best for market researchers, polling firms, and insights providers who need to analyze niche or underrepresented segments in their survey data. It's particularly useful when reaching certain audiences is too rare, too specific, or too expensive to sample through traditional methods.

Do I need to install anything to use Fairgen?

No. Fairgen is a cloud-based SaaS platform, so you don't need to install anything. You simply upload your survey data in standard formats like CSV or SAV, and the platform handles the rest.

Is Fairgen free to use?

Fairgen is not fully free to use for general access. it’s a paid service where organizations subscribe and pay fees for platform access and features, though they may offer limited trials or demo access by contacting them.

Does Fairgen offer a free trial or demo?

Yes. Fairgen offers demos that you can request through their website.

Does Fairgen have a plan for teams or businesses?

Yes, Fairgen does have plans for teams or businesses, as it offers customized enterprise‑level solutions and pricing tailored for organizations and research teams rather than just individual users.

How do I contact Fairgen support?

Contact Fairgen support by mailing info@fairgen.com

Fairgen: Reviews, Pricing, Alternatives & Features (2026)

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Fairgen is a web-based AI and synthetic data platform for market researchers and insights teams that augments quantitative survey datasets and improves data quality.

Key capabilities include:

Boost (Fairboost): Generates statistically reliable synthetic respondents trained only on the user’s uploaded survey data (for example CSV or SAV files) to increase low-incidence segments 2 to 3x for more granular analysis in tracking, segmentation, U&A, opinion studies, brand equity measurement, ad testing, and product testing.
Check (Fairgen Check): Flags fraud, bots, and low-quality respondents across quantitative and open-ended data, including speeders, straightliners, and inconsistent answers, then supports review before cleaning.
Fast dataset processing: Produces expanded, analysis-ready outputs in about 20 minutes, helping reduce margins of error for niche cuts.

Pricing: Unknown.

What sets it apart is its statistical AI approach trained solely on uploaded survey datasets (not large language models) to reduce bias and provide methodology designed for quantitative research, including use cases like scaling insights across markets (for example, reported use by T-Mobile).

Frequently Asked Questions About Fairgen

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