{"id":605299,"date":"2026-08-26T16:02:10","date_gmt":"2026-08-26T16:02:10","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/605299\/"},"modified":"2026-08-26T16:02:10","modified_gmt":"2026-08-26T16:02:10","slug":"querystory-wants-you-to-believe-what-ai-is-telling-you","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/605299\/","title":{"rendered":"QueryStory wants you to believe what AI is telling you"},"content":{"rendered":"<p id=\"speakable-summary\" class=\"wp-block-paragraph\">Shapor Naghibzadeh learned the value of a good story in 2009 as a Google sysops engineer. When hackers backed by China set their sights on the search giant as part of an effort dubbed Operation Aurora, he was called into a hastily assembled war room to explain what exactly was going on in the company\u2019s servers.<\/p>\n<p class=\"wp-block-paragraph\">Tracing cyberattacks through disparate networks taught Naghibzadeh the value of verified knowledge. But it was a costly and time-consuming task. He thinks that LLMs can bring that same functionality to databases of all kinds in a fraction of the time. <\/p>\n<p class=\"wp-block-paragraph\">Naghibzadeh would spend the next six years focused on the nexus of data and cybersecurity, using Google\u2019s resources to build tools that allowed security analysts to query complex data. In 2016, he co-founded a startup in Google\u2019s X Labs called Chronicle that would bring that same functionality to other companies.<\/p>\n<p class=\"wp-block-paragraph\">Last year, as large language models took a larger role in data analysis, Naghibzadeh saw a new opportunity to take the techniques he developed for cybersecurity and apply them to a variety of analytics. He co-founded <a rel=\"nofollow noopener\" href=\"https:\/\/querystory.ai\/\" target=\"_blank\">QueryStory<\/a>, where he is CEO, alongside CTO Stanley Yang, a former Google colleague and lead engineer at EvolutionIQ, and CPO David Glusic, an Accenture veteran. The startup emerged from stealth today.<\/p>\n<p class=\"wp-block-paragraph\">\u201cYou get this pattern of an investigation \u2014 you ask a bunch of questions of the data, and after you have been able to ask a number of questions, you assemble that together into a narrative,\u201d Naghibzadeh said. \u201cThat became the genesis for the name QueryStory. It\u2019s about telling stories with data, right? Putting a narrative together that\u2019s grounded in truth.\u201d<\/p>\n<p class=\"wp-block-paragraph\">QueryStory raised a $6 million seed round in late 2025 from Brightmind Ventures and New York Life Ventures at a valuation of $60 million, and has spent the intervening time developing and piloting its product with customers. QueryStory is aimed squarely at large enterprises that manage big, proprietary databases; it serves as a platform to unite data analysis and review for users like sales teams or operations managers.<\/p>\n<p class=\"wp-block-paragraph\">\u201cWhat we\u2019re doing is bridging that trust gap for AI to give enterprises answers that they can act on,\u201d Naghibzadeh said. \u201cInstead of, you know, like renting human judgment and armies of forward deployed engineers, we productized that.\u201d<\/p>\n<p class=\"wp-block-paragraph\">Tim Del Bello, a partner at New York Life Ventures, invested in the company. He is also using the platform to replace the work of several people and produce a quarterly business review, which he now hopes will become a real-time dashboard.<\/p>\n<p class=\"wp-block-paragraph\">\u201cThe product was built for people like me: decision-makers seeking the ground truth who need to work with complex, disparate data sources but don\u2019t have a data science or BI team at their disposal, especially when operating in a highly regulated industry,\u201d he told TechCrunch. <\/p>\n<p>Solving the problem of brittle AI systems<\/p>\n<p class=\"wp-block-paragraph\">I shared a database of space activity that\u2019s useful for understanding what companies like SpaceX are doing on orbit. QueryStory produced a visualization of that data in a few hours, a project I once did with a developer that took several weeks. It produced sophisticated dashboards and analysis, and perhaps most notably, broke out a confidence indicator that showed why the AI agents believed the analyses were accurate.<\/p>\n<p><a data-group=\"gallery-f4d19dc6-3808-4ec7-8ce2-7c83af67c3e4\" href=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.00-AM.png\" rel=\"nofollow noopener\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" data-destinationlink=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.00-AM.png\" data-event=\"clickable_image\" height=\"458\" width=\"680\" data-id=\"3156777\" src=\"https:\/\/www.newsbeep.com\/ie\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.00-AM.png\" alt=\"\" class=\"wp-image-3156777\"  \/><\/a>A visualization of satellites in orbit around the Earth.Image Credits:QueryStory \/ QueryStory<\/p>\n<p><a data-group=\"gallery-f4d19dc6-3808-4ec7-8ce2-7c83af67c3e4\" href=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.22-AM.png\" rel=\"nofollow noopener\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" data-destinationlink=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.22-AM.png\" data-event=\"clickable_image\" height=\"336\" width=\"680\" data-id=\"3156778\" src=\"https:\/\/www.newsbeep.com\/ie\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.28.22-AM.png\" alt=\"\" class=\"wp-image-3156778\"  \/><\/a>A set of queries derived from the space data.Image Credits:QueryStory \/ QueryStory<\/p>\n<p><a data-group=\"gallery-f4d19dc6-3808-4ec7-8ce2-7c83af67c3e4\" href=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/image_1c6869.png\" rel=\"nofollow noopener\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" data-destinationlink=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/image_1c6869.png\" data-event=\"clickable_image\" height=\"680\" width=\"648\" data-id=\"3156780\" src=\"https:\/\/www.newsbeep.com\/ie\/wp-content\/uploads\/2026\/08\/image_1c6869.png\" alt=\"\" class=\"wp-image-3156780\"  \/><\/a>A QueryStory.Image Credits:QueryStory \/ QueryStory<\/p>\n<p><a data-group=\"gallery-f4d19dc6-3808-4ec7-8ce2-7c83af67c3e4\" href=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.29.10-AM.png\" rel=\"nofollow noopener\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" data-destinationlink=\"https:\/\/techcrunch.com\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.29.10-AM.png\" data-event=\"clickable_image\" height=\"680\" width=\"464\" data-id=\"3156779\" src=\"https:\/\/www.newsbeep.com\/ie\/wp-content\/uploads\/2026\/08\/Screenshot-2026-08-25-at-10.29.10-AM.png\" alt=\"\" class=\"wp-image-3156779\"  \/><\/a>QueryStory\u2019s confidence indicator.Image Credits:QueryStory \/ QueryStory<\/p>\n<p class=\"wp-block-paragraph\">This kind of work can be done with <a href=\"https:\/\/techcrunch.com\/2026\/08\/24\/openai-is-building-an-ai-agent-for-everything-will-everyone-use-them\/\" rel=\"nofollow noopener\" target=\"_blank\">co-working tools<\/a> built by the frontier labs, but those tools are intentionally limited in their user experiences. Part of the bet that QueryStory is making is that users, especially at large companies, want more transparency, reliability and control as they integrate AI into their workflows.<\/p>\n<p class=\"wp-block-paragraph\">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.<\/p>\n<p class=\"wp-block-paragraph\">\u201cAI 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,\u201d Tayler Sipperly, a partner at Brightmind Partners, told TechCrunch. <\/p>\n<p class=\"wp-block-paragraph\">Naghibzadeh points out that when companies connect their data to an LLM\u2019s chat UI, \u201cyou 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\u2014you just end up with this huge sprawl of content, and there\u2019s no real place to hang that content that ties back to the data.\u201d<\/p>\n<p class=\"wp-block-paragraph\">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\u2019t incentivized to sell as much intelligence as possible.<\/p>\n<p class=\"wp-block-paragraph\">\u201cWe 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,\u201d 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.<\/p>\n<p class=\"wp-block-paragraph\">\u201cThe thing that we are selling is the trust in the answers, right?\u201d he said. \u201cThe thing that we\u2019re selling them is the value that we\u2019re adding to the business, and our whole goal is giving the CFO the ability to understand \u2018what is this thing going to cost?\u2019\u201d<\/p>\n<p>When you purchase through links in our articles, <a href=\"https:\/\/techcrunch.com\/techcrunch-affiliate-monetization-standards\/\" rel=\"nofollow noopener\" target=\"_blank\">we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/p>\n","protected":false},"excerpt":{"rendered":"Shapor Naghibzadeh learned the value of a good story in 2009 as a Google sysops engineer. When hackers&hellip;\n","protected":false},"author":2,"featured_media":605300,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[220,218,219,1302,61,60,80],"class_list":["post-605299","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-exclusive","tag-ie","tag-ireland","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/605299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=605299"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/605299\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/605300"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=605299"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=605299"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=605299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}