About Fairgen
Fairgen is an AI-powered market research platform that creates “synthetic respondents” (digital versions of real survey participants) to help companies get faster and deeper insights from customer data. It is mainly used in market research, marketing, and product strategy to simulate audience reactions, improve survey data, and explore hard-to-reach customer segments without running large traditional surveys.
Feature Highlights
Fairgen uses generative AI and machine learning to build predictive “digital twins” of real survey respondents, helping researchers simulate how different audiences think and behave.
It can generate synthetic survey responses to expand small or limited datasets, making insights more statistically powerful without extra fieldwork.
It supports concept testing, ad testing, pricing research, and brand perception analysis using AI-generated audience simulations.
It includes tools like FairBoost to increase sample size and FairCheck to detect low-quality or fraudulent survey responses.
It can create custom “audiences” from real datasets and allow users to run studies or chat directly with simulated respondents.
It is designed for fast insights generation, often producing research results in minutes instead of weeks.
Use Cases
Testing marketing campaigns and ad creatives before launching
Understanding customer opinions and product reactions quickly
Running concept testing for new products or ideas
Improving survey insights when sample data is small or incomplete
Analyzing pricing sensitivity and brand perception
Helping insights teams speed up decision-making
Simulating “what-if” market scenarios without running real surveys
Creating always-available digital focus groups for product teams
Extending old research datasets into new predictive insights
