When enterprises access large models to internal databases, the difficulty is often not to generate answers, but to verify them. AI QueryStory closed invisibility on 26 August and disclosed that $6 million worth of seed ship financing had been completed at the end of 2025, valued at $6.0 million.

Finance and team background

This round of financing was attended by Brightmind Ventures and New York Life Ventures. The company was created by former Google Engineer Shapor Naghibzadeh, in partnership with Stanley Yang, David Glusic, for large-scale enterprises that manage a large volume of proprietary data.

Naghibzadeh worked on systems and security in Google in the early years and was later involved in the creation of Chronicle. He brought the analysis in the security survey to the new company and hoped that the successive questions, data validation and conclusions would be collated into the same process.

Platform display query basis

QueryStory does not focus on giving only charts or summaries, but rather shows users how AI draws conclusions. According to the reports, the Platform automatically displays the SQL queries behind the analysis and gives confidence indicators as to why the results were found to be credible.

Users can also submit the results of the analysis to manual colleagues for review and the relevant review records will be kept on the platform. It is hoped that this will reduce the number of individual questions and findings within the enterprise so that the results of the analysis can be returned to a unified data source.

  • Seed wheel finance disclosed: $6 million
  • Corresponding valuation for current round: $60 million
  • Target clients are large enterprises and regulated industries

Targeting enterprises to adopt thresholds

While it was mentioned that the front-line model could also complete partial collaborative data analysis, transparency, stability and cost predictability remained major obstacles in large enterprise scenarios. The product positioning of QueryStory complements the concerns of enterprises in these areas.

The New York Life Ventures partner Tim Del Bello stated that he had used the platform to replace part of the manual process to generate quarterly business reviews and hoped that it would be further developed into a real-time dashboard. For its part, Brightmind argues that many enterprises underestimate the vulnerability of the AI system in its long-term use.