Simulated respondents from partner audiences or your own quantitative and qualitative research.
Product category
Digital twins
Use cases
Concept testing / Exploratory interviews
Data grounding
Fairgen describes individual-level panel data and optional interview transcripts as inputs.
Access & pricing
Contact sales. Discuss scope with provider.

Research method
Twin-based studies and follow-up conversations
The Twins workflow documents structured questions across multiple digital twins, quantitative and qualitative outputs in a report, and subsequent chat with an individual twin.
Validation evidence
No product-specific performance result in the sources listed here.
Documented scope
Use directional output accordingly
Fairgen's public material says generative synthetic respondents can support early ideation and exploration but are not a substitute for statistical inference. Its Twins documentation directs decisions needing statistical confidence to fieldwork.
Fairgen: Google synthetic-data pilot summary Fairgen Twins: product and FAQs
Grounding depends on the available research
Fairgen says Twins cannot model an audience when it has no relevant market audience or original research data. The company says more relevant data can improve its answers.
Method and evidence sources
- Fairgen Twins: product and FAQs · Provider product documentation
- Fairgen: Google synthetic-data pilot summary · Provider-reported study summary