FairGen boosts survey results using synthetic data and AI-generated participant feedback.
This article discusses Fairgen, a company that has developed a platform for generating synthetic respondents for market research surveys. Here are the key points from the article:
What is Fairgen?
Fairgen is a startup that provides a platform for generating synthetic respondents for market research surveys. The platform uses statistical models and tabular data to create new and synthetic respondents by extrapolating from adjacent segments in the survey.
How does it work?
The user uploads their survey data to Fairgen’s cloud-based platform, which takes up to 20 minutes to train the model on the data. The user then selects a segment (a subset of respondents that share certain characteristics) and Fairgen delivers a new file structured identically to the original training file, with the exact same questions, just new rows.
Why doesn’t it use large language models?
Fairgen does not use large language models (LLMs) because they can introduce bias by learning from other data sources outside the parameters of the study. Fairgen’s platform relies solely on the data contained within the uploaded dataset to generate synthetic respondents.
Business model
Fairgen is sold as a SaaS, with companies uploading their surveys in whatever structured format (.CSV or .SAV) to Fairgen’s cloud-based platform. The user then selects a segment and Fairgen delivers a new file with synthetic respondents.
Partnerships and customers
Fairgen has partnered with BVA and IFOP, French polling and market research firm, which have already integrated the startup’s tech into their services. IFOP is using Fairgen for polling purposes in the European elections.
Fundraising
The article does not mention any fundraising activities by Fairgen.
Other points of interest
- Fairgen has a no-LLM factor, meaning it doesn’t use large language models to generate synthetic respondents.
- The platform is designed to be reliable and free from bias.
- Fairgen’s training model relies solely on the data contained within the uploaded dataset.
