QueryStory exits stealth with $6M seed to make enterprises trust AI answers

On August 26, AI data analytics startup QueryStory emerged from stealth, revealing a $6 million seed round. Founded by CEO Shapor Naghibzadeh with CTO Stanley Yang and CPO David Glusic, the company targets large enterprises running big proprietary databases.

According to TechCrunch, the round closed in late 2025 with Brightmind Partners and New York Life Ventures at a $60 million valuation, and the startup spent the intervening time building and piloting its product with customers before going public today.

Naghibzadeh is a former Google SysOps engineer who worked in the war room during the 2009 Operation Aurora attacks on the company, then spent six years at the intersection of data and cybersecurity, co-founding Chronicle inside Google X Labs in 2016. He argues that LLMs can bring the same verified-knowledge workflow to databases of all kinds in a fraction of the time.

QueryStory productizes the investigation pattern of asking questions of data and assembling the answers into a narrative. Aimed at sales teams and operations managers without data science or BI support, the platform automatically surfaces the SQL queries AI agents write and shows confidence indicators explaining why analyses are considered accurate; results can be flagged for human review, with those reviews recorded in the platform.

Early traction is tangible. Tim Del Bello, a managing director at New York Life Ventures who led the investment, says the firm uses the platform to replace several people's work producing a quarterly business review, which he hopes will become a real-time dashboard. A TechCrunch reporter who tested the product on a space-activity database got sophisticated visualizations in hours instead of the weeks a developer once needed.

The startup is model-agnostic but for now relies mainly on frontier lab models. Unlike incumbents that charge by compute or token consumption, QueryStory sells trust in the answers as its core value. Brightmind Partners partner Tayler Sipperly cautions that AI is more brittle than people realize when large-scale businesses depend on it.

As frontier labs push co-working tools with deliberately limited experiences, QueryStory bets that enterprises want more transparency, reliability, and control. Whether its trust narrative wins over big-company buyers is the key thing to watch.