What is Fairgen

We’re building the future of insights—and it’s augmented.

Fairgen combines traditional statistical imputation models with generative AI to augment sample sizes with confidence. By learning patterns within each dataset, the platform generates predictive synthetic responses, enabling researchers to expand sample sizes and reach hard-to-access audiences. Our hybrid approach maintains data integrity, accelerating time-to-insights for granular analysis.

👩🏻‍💻 About the technology

• Synthetic data can be used to predict survey responses, as long as it's part of a broader database and meets the basic data requirements.

• In a nutshell, Fairgen Boost can learn trends and patterns from adjacent segments and use them to generate synthetic responses.

• Fairgen uses only safe statistical models that are trained entirely on a single dataset at a time; and without the risks associated with Large Language Models (i.e., external bias or hallucinations)

• Like every AI implementation, technical testing, governance, and transparency are critical to manage it responsibly.

🚀 About the business impact

• It allows for more granular insights delivery that was once too hard or impossible to complete.

• For research providers, it accelerates and opens new revenue streams for insights into niches.

• For brands, it unlocks fast, granular insights that can drive niche go-to-market decisions at the scale modern business demands.

🤖 Leading the AI wave

• We're just starting to experience the impact of AI technology and the rise of computing power across industries.

• It will be the pioneers and tech-savvy teams validating and implementing AI efficiently and responsibly who will gain the competitive edge in the upcoming years.