The first and most trusted AI platform for boosting survey data.
Generate near-real augmented respondents and unlock granular insights in every survey.
Unveil insights into hard-to-reach niches without extra fieldwork
Fairgen helps you reach rare or hard-to-access segments by generating predictive respondents that match your survey structure, all from your existing data.
You spot weak signals, Fairgen augments
Pinpoint niche groups that are underrepresented. Whether they’re too rare, too specific, or too expensive to sample, you decide where to go deeper.
Boost your sample with predictive AI
Fairgen uses patterns from your data to generate new, augmented respondents. These mirror what you’d expect if you had collected more real responses: no external sources, no shortcuts.
Download a dataset built for deeper insights
Get new, predictive respondents that match your survey structure and unlock insights as if you'd tripled your reach, without running another fieldwork cycle.
The holy trinity of trusted AI boosts.
01
SURVEY INTEGRITY
02
Predictive power
03
Benchmark at scale
Boosting only works when the questionnaire is respected.
Tailor-made AI solutions for market research understand survey structure and logic filters, not just data points. Without respecting it, synthetic responses risk breaking your insights.
Preserves the respondent experience and cognitive path.
Designed specifically for market research (not generic AI generation).
Understands skip logic, piping, multi-selects, and hidden variable rules.
The best machine learning models predict reality, not just simulate it.
It’s not about creativity; it’s about precision. Trust is built when AI-generated respondents statistically match the properties of additional real ones.
Rigorous model selection based on predictive fidelity, not vanity metrics.
Prioritizes marginal distribution matching over synthetic creativity.
Actively corrects high variance typical of small samples
Achieves error margins comparable to tripling real sample sizes.
Testing at scale separates real solutions from science projects.
You can only trust AI if it performs not once, but thousands of times, across categories, geographies, and sample frames, consistently.
Validated across 10,000+ concurrent boosts.
Proven efficacy across B2B, B2C, opinion, and healthcare studies.
Trusted by the world’s most innovative research organizations.
Find segments to boost
Choose a study, find small segments of interest, and see the impact of boosting with AI.
Explore our solutions
AI-powered boosts for every research challenge.
BY TEAM
Research providers
Extend your capabilities and unlock new revenue with AI boosts for granular insights.
CMI teams
Deliver granular insights at speed with stable, segment-level analysis that drives confident decisions.
Fill gaps in hard-to-reach groups and see the full picture across all segments.
Fill gaps in hard-to-reach groups and see the full picture across all segments.
Fill gaps in hard-to-reach groups and see the full picture across all segments.
Fill gaps in hard-to-reach groups and see the full picture across all segments.
Frequently Asked Questions
New to AI-augmented insights? Here are the questions we hear most, and the answers you need
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.
No. Fairgen’s can augment only quantitative fields.
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.
We encourage new customers to run a series of tests to evaluate Fairgen across three areas:
- Predictive power: how well the system replicates what real respondents would say
- Survey structure adherence: how accurately it respects filters and logic
- Workflow integration: how smoothly data teams can process and use the outputs
The main way to assess predictive power is through parallel testing on existing datasets. You provide a small portion of a sample, for example 10 percent, for training. The rest is held out as ground truth. Fairgen then generates a synthetic dataset based only on the 10 percent, and we compare it to the full sample to measure performance.
This allows you to evaluate both accuracy and consistency at aggregate and segment levels. Fairgen consistently delivers reliable and high quality augmentation, even when trained on limited data.
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.
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.
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.
