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QueryStory Launches to Address Data Analysis Challenges with AI

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Shapor Naghibzadeh, a former Google SysOps engineer, co-founded QueryStory, a startup rooted in the lessons he learned from combating cyberattacks, most notably during an operation known as Operation Aurora against Google in 2009. QueryStory emerged from stealth as a platform to enhance data analysis in enterprises using AI and large language models (LLMs).

  • Background: Naghibzadeh utilized experience in data and cybersecurity, forming Chronicle at Google's X Labs in 2016. With the rise of LLMs, he identified broader analytics application opportunities.
  • Startup Formation: In 2025, alongside Stanley Yang and David Glusic, Naghibzadeh raised $6 million in seed funding from Brightmind Partners and New York Life Ventures with a $60 million valuation.
  • Functionality: QueryStory unites data analysis tools for large enterprises, providing reliable, action-oriented insights without requiring extensive data science resources.
  • Innovation: The platform automates complex queries and visualizes data efficiently, reducing reliance on human intervention while improving transparency and reliability in data-driven decision-making.
  • Market Position: Unlike some AI models focused on compute or storage revenue, QueryStory aims for trust and accuracy, prioritizing contextual understanding and financial clarity for its users.