QueryStory emerged from stealth to help enterprises trust AI analytics.
It raised $6 million at a $60 million valuation.
The platform provides transparent AI-generated answers with confidence indicators.
What happened
QueryStory, co-founded by ex-Google engineer Shapor Naghibzadeh, emerged from stealth today. The company raised a $6 million seed round in late 2025 from Brightmind Ventures and New York Life Ventures at a $60 million valuation.
Why it matters
The platform aims to bridge the trust gap for enterprises by providing AI-generated answers that include a confidence indicator, allowing users to see why the AI believes its analyses are accurate. This addresses the problem of "brittle" AI systems that may not be reliable for large-scale business reliance.
What to watch
QueryStory is model-agnostic but currently uses the latest frontier lab models. It targets large enterprises with big proprietary databases, positioning itself as a service provider that isn't incentivized to sell as much intelligence as possible, which could appeal to customers seeking transparency and control.
Ask the AI about this article →
QueryStory's emergence comes from Shapor Naghibzadeh's background in cybersecurity at Google, where he learned the value of verified knowledge. His experience tracing cyberattacks and building tools for security analysts laid the groundwork for applying LLMs to data analysis. The platform aims to solve the problem of 'brittle' AI systems by providing transparency through confidence indicators and automatic SQL query surfacing, which builds trust for enterprises. The company's positioning as a purpose-built tool, not tied to a consumption model of compute or storage, may appeal to customers looking for efficient and accurate AI answers. The involvement of investors like New York Life Ventures, whose partner uses the platform to replace manual work, suggests practical applications in regulated industries where trust is paramount. As AI integration into workflows grows, QueryStory's focus on reliability and control could address a key pain point for large enterprises.
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