Home/Events/QueryStory Launches AI Data Analysis Platform

QueryStory Launches AI Data Analysis Platform

Emerging

Confidence

80%

Impact: 70%

Updated 1h ago

Consensus Brief

QueryStory, co-founded by Shapor Naghibzadeh, has emerged from stealth with a platform designed to enhance data analysis for large enterprises. The startup aims to bridge the trust gap in AI by providing reliable insights from complex data sources, utilizing large language models for efficiency.

Sourced from

TechCrunchT2

Primary: TechCrunch

What Changed Since Last Update

1h ago

QueryStory has officially launched its platform after developing and piloting it with customers.

Claim Ledger

4 claims tracked across sources

Confirmed Fact

QueryStory raised a $6 million seed round in late 2025 from Brightmind Ventures and New York Life Ventures at a valuation of $60 million.

Confirmed Fact

QueryStory is aimed squarely at large enterprises that manage big, proprietary databases.

Confirmed Fact

The platform produces a confidence indicator that shows why the AI agents believe the analyses are accurate.

Official Claim

QueryStory is built to be model-agnostic, although it mainly uses the latest models provided by frontier labs.

Role-Based Impact Analysis

Source Timeline

1 source corroborating

QueryStory wants you to believe what AI is telling you

TechCrunch·1h ago