
The startup came out of stealth with $6 million in seed funding and a plan to use LLMs and cybersecurity know-how to make AI queries coherent.
QueryStory is a startup that uses large language models to help enterprises analyze complex databases and generate data-driven narratives, with built-in transparency features like confidence indicators and visible SQL queries. The company addresses concerns about AI reliability by surfacing the reasoning behind its analyses and allowing human review, rather than presenting results as black-box outputs from general-purpose AI chat tools. QueryStory's approach differs from frontier AI labs by focusing on accuracy and trust in business decision-making rather than maximizing token consumption, and the platform automatically consolidates data queries across an organization to prevent multiple versions of truth from circulating internally.

The round came together after the data center developer reportedly secured a $13 billion contract with Jane Street.

The high-profile startup's annual revenue run rate stands at over $100 million.

OpenAI introduces Daybreak for Frontline Defenders. A $1 billion commitment expands access to frontier cyber AI, training, and support for essential services.
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