QueryStory emerges from stealth with $6M seed to verify AI-generated data insights
QueryStory, founded by former Google Chronicle co-founder Shapor Naghibzadeh, has launched publicly after raising a $6 million seed round from Brightmind Ventures and New York Life Ventures at a $60 million valuation. The startup applies techniques Naghibzadeh developed for cybersecurity investigations to build large language model tools that let enterprises query proprietary databases and construct fact-based narratives from the results.
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As companies increasingly rely on LLMs to interpret internal data, the risk of confidently-stated but inaccurate outputs grows, making tools that ground AI answers in verifiable data especially valuable for high-stakes enterprise decisions. QueryStory's roots in cybersecurity forensics suggest a rigorous, verification-first approach that could differentiate it from more general-purpose AI analytics tools targeting the same large enterprise customers.
- QueryStory raised $6M in seed funding at a $60M valuation from Brightmind Ventures and New York Life Ventures.
- Founder Shapor Naghibzadeh previously co-founded cybersecurity startup Chronicle within Google's X Labs.
- The company targets large enterprises with proprietary databases, aiming to turn AI queries into trustworthy, narrative-driven insights.
Designing Data-Intensive Applications by Martin Kleppmann — If QueryStory's pitch about trustworthy answers from complex databases hooked you, this is the book that explains how those systems actually store, query, and keep data reliable. Kleppmann's classic is a favorite among engineers working on analytics and data pipelines, and it's a great grounding read before layering LLMs on top.
See Designing Data-Intensive Applications by Martin Kleppmann on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: techcrunch.com — Tim Fernholz, 2026-08-26
Published there as: “QueryStory wants you to believe what AI is telling you”
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