The feature, called Fairgen Check, evaluates data quality across three integrated layers, with the first layer using statistical and behavioural models to detect anomalies in quantitative data.

The second layer assesses the integrity of open-ended responses, identifying irrelevance, duplication, gibberish and AI-generated text that appears plausible.

Finally, a third layer introduces an agentic AI ‘quality inspector’ to highlight inconsistencies in surveys and find contextual contradictions.

Fairgen Check is available for agencies, research platforms and enterprise insights teams.

Fairgen was founded in 2021 by Samuel Cohen and is based in Tel Aviv. The company focuses on combining generative AI and market research.

Fernando Zatz, chief product officer at Fairgen, said: “While the industry has made progress with pre-checks and in-field checks, post-collection review still relies heavily on time-consuming, inconsistent manual work. Fairgen Check provides a fully independent, standardised layer of scrutiny, agnostic to sample source.”