QueryStory exits stealth with $6M seed round for AI data analysis

In short: QueryStory has launched publicly after raising $6 million to build a tool that helps companies get clearer, more checkable answers from AI when it searches their data.

What happened

QueryStory, a new startup led by CEO Shapor Naghibzadeh, came out of stealth, which means it had been building in private before announcing itself. The company raised a $6 million seed round in late 2025 from Brightmind Ventures and New York Life Ventures. TechCrunch reported the funding valued the company at $60 million.

QueryStory’s product is aimed at large companies that store lots of information in their own internal databases. The goal is to help people like sales leaders or operations managers ask questions in plain language, then turn the results into dashboards and a written “story” that ties back to the underlying data.

A key feature is that QueryStory shows its work. For example, it can surface the SQL queries, which are the exact database instructions the system used (like showing the math steps, not just the final answer). It also includes a confidence indicator that explains why the system thinks an answer is accurate, and it lets coworkers review and record feedback inside the tool.

Why it matters

Many companies are experimenting with AI tools that can search internal data, but the answers can be hard to trust or easy to misinterpret. Tools like QueryStory are trying to make AI results easier to check, share, and audit, especially in regulated industries where decisions need a clear paper trail.

Source: TechCrunch AI