QueryStory wants you to believe what AI is telling you

As an example, an executive at a tech company recently told TechCrunch about querying a company database using Claude Cowork, then asking the model to show him the SQL queries it wrote to make sure they made sense before he sent them off to a data analyst for human review. In QueryStory, those SQL queries surface automatically, and users can flag analyses for human coworkers to review, with those reviews then recorded in the platform.

“AI is more brittle than people realize when it comes to like building things that have to be durable and have large scale businesses relying upon them,” Tayler Sipperly, a partner at Brightmind Partners, told TechCrunch.

Naghibzadeh points out that when companies connect their data to an LLM’s chat UI, “you get hundreds or thousands of people within an organization all asking their questions and getting their version of the truth and putting that in a slide deck and sharing it—you just end up with this huge sprawl of content, and there’s no real place to hang that content that ties back to the data.”

There are also economics to contend with. QueryStory is built to be model-agnostic, although for now it mainly uses the latest models provided by frontier labs. While his company competes with frontier labs on a product basis, Naghibzadeh believes that customers will prefer working with a service provider that isn’t incentivized to sell as much intelligence as possible.

“We have a lot of things going for us here in not being one of those companies that built their business around this consumption model of compute or storage or tokens,” Naghibzadeh said. He argues that a purpose-built tool like QueryStory can be more efficient and accurate than a general-purpose agent by understanding and preserving context.

“The thing that we are selling is the trust in the answers, right?” he said. “The thing that we’re selling them is the value that we’re adding to the business, and our whole goal is giving the CFO the ability to understand ‘what is this thing going to cost?'”