Fairgen

🖼️ Tool Name:
Fairgen (also known as FairBoost)

🔖 Tool Category:
Data Preparation & Cleaning / Integrations & APIs — it falls under AI tools that generate synthetic data to augment survey datasets, particularly for under-sampled segments in market research.

✏️ What does this tool offer?
Fairgen is a generative AI platform aimed at market research teams. It helps “boost” survey data by generating synthetic respondents in niche or under-sampled segments. This allows researchers to gain deeper insights into groups that are hard or costly to reach with traditional survey methods.

⭐ What does the tool actually deliver based on user experience?
• Synthetic “boosted” respondents that mirror real data in structure and distribution. 
• Preservation of survey logic: skip logic, filters, multi-selects, hidden variable rules etc. 
• Segmentation & U&A enhancement by enriching sparse segments.
• Side-by-side validation: comparing synthetic vs real data to ensure accuracy. 
• Integration into research workflows: boost specific segments based on criteria from your study. 

🤖 Does it include automation?
Yes — Fairgen automates:
• Modeling and training of generative processes using the real survey data to extrapolate likely responses. 
• Generation of synthetic respondents conforming to the questionnaire schema. 
• Real-time augmentation: you specify which segments to boost and the tool handles generation. 

💰 Pricing Model:
Subscription / enterprise model (custom pricing) — detailed public pricing is not clearly disclosed. 

🆓 Free Plan Details:
No clearly advertised free tier; typically access is via demo or evaluation. 

💳 Paid Plan Details:
Paid plans unlock the ability to boost larger segments, higher usage limits, integration capabilities, and validation tools. 

🧭 Access Method:
• Web platform / SaaS model via fairgen.ai 
• API / integration into survey analysis pipelines (surveys upload, specify boost segments) 

🔗 Experience Link:

https://www.fairgen.ai