Directory entry

Fairgen

AI-augmented research suite focused on synthetic data to extend/boost surveys, improve granularity for rare groups, and improve data integrity (e.g., fraud/bot detection).

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Website: fairgen.ai

AI-augmented research suite focused on synthetic data to extend/boost surveys, improve granularity for rare groups, and improve data integrity (e.g., fraud/bot detection).

Typical use cases
  • Survey boosting for small subgroups (rare demographics, niche B2B segments)
  • Brand tracking or segmentation where you need higher statistical power
  • Fraud detection / data cleaning to improve panel quality
Pros
  • Strong fit for boosting/augmenting existing survey datasets (esp. niche segments)
  • Designed around research-quality workflows (integrity checks, review/cleaning)
  • Can reduce cost/time when you already have some real sample
Cons / cautions
  • Best results typically depend on having solid underlying human data to augment
  • May be more about augmentation than fully replacing primary research
  • Outputs still need validation against real-world measures for high-stakes decisions
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