QueryStory wants you to believe what AI is telling you
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.
Shapor Naghibzadeh's experience in combating cyberattacks taught him the importance of verified knowledge. He recognized the potential of large language models (LLMs) to streamline data analysis and verify information in databases. In 2016, he co-founded Chronicle, a startup within Google's X Labs, which aimed to provide security analysts with the ability to query complex data efficiently.
As LLMs gained prominence in data analysis, Naghibzadeh saw an opportunity to apply these techniques to various analytics. This led to the co-founding of QueryStory, where he serves as CEO alongside Stanley Yang and David Glusic. QueryStory's mission is to help large enterprises harness the power of AI to analyze and interpret proprietary data, generating narratives grounded in truth.
The startup raised $6 million in seed funding and is currently piloting its product with customers. QueryStory focuses on bridging the trust gap between AI-generated insights and decision-makers by providing transparency, reliability, and control. Unlike general-purpose AI agents, QueryStory is designed to be more accurate and efficient by understanding and maintaining context within the data.
By eliminating the need for extensive human intervention and enabling real-time dashboards, the platform streamlines the decision-making process for executives in highly regulated industries.
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