Ex-Google Engineer Unveils QueryStory to Make AI Data Analysis More Trustworthy

QueryStory, founded by former Google engineer Shapor Naghibzadeh, is targeting a persistent problem in corporate analytics: extracting useful information from complex databases without sacrificing confidence in the result. The startup uses large language models to simplify data queries and turn the underlying analysis into evidence-based investigative narratives, aiming to make AI-generated findings easier to understand, verify and trace back to source data.

The company has now emerged from stealth and disclosed its product direction, positioning QueryStory as an alternative to generative-AI tools that deliver answers with limited visibility into how they were produced. Its approach emphasizes the data and reasoning behind each conclusion as businesses scrutinize the reliability of AI-assisted decisions. QueryStory has not disclosed a commercial launch date, funding amount, valuation or number of paying customers.