Fairgen

Fairgen is a research platform that uses generative AI and synthetic data to help market researchers and brand teams get answers from audiences that are costly or slow to reach. It has two main parts. Twins are simulated audiences built from a team's own past quantitative and qualitative studies, or drawn from premium audiences trained on partner data. Boost generates predictive respondents from an existing survey, so rare or hard to reach segments can be analyzed in more detail without further fieldwork. With twins, users can chat with respondents, run focus groups, or set up full studies for common use cases such as concept testing, pricing and packaging, brand perception, customer discovery, and ad and messaging diagnostics. The output includes a consulting style insights deck combining quantitative findings and qualitative depth. Boost is built to respect questionnaire structure, including skip logic, piping and multi select questions. The site lists enterprise deployments with SOC 2 Type II and offers professional services for governed rollouts. Pricing is credit based, and the number of credits a task uses depends on how exclusive the audience is. Creating a twin costs 1.3 credits. A study costs 1, 6 or 20 credits per respondent for Basic, Premium and Exclusive audiences. The pricing page shows a Starter plan at $49 per month, or $590 billed annually, with 150 credits and a 14 day free trial, and a Pro plan at $249 per month, or $2,490 billed annually, with 1,000 credits and team workspaces. Enterprise is custom and starts from 2,500 credits. The page notes that access is currently waitlist only for some plans.