Traditional market research is drowning in noise, fraud, and slow, expensive panels. Fairgen isn't just tweaking the process—they're rebuilding it from the ground up with synthetic data and AI, promising deeper insights in days, not months.

"Fairgen isn't just another survey tool—it's an intelligence engine that turns sparse data into predictive models."

The company's leadership team is deeply technical, with CEO Samuel Cohen and Co-founder Michael Cohen at the helm. Their engineering VP, Mati Konen, and growth lead Fernando Zatz suggest a balanced approach: strong product fundamentals meeting aggressive market expansion. The presence of 'Emmanuel Candes' in their top keywords hints at academic rigor—likely referencing the Stanford statistician known for compressed sensing, a technique fundamental to their synthetic data approach.

• Synthetic data generation to extend surveys beyond traditional panels
• AI-powered fraud detection to clean up noisy data sources
• Brand equity tracking with synthetic respondents
• Niche audience targeting through AI augmentation