London's Querio launches with €4.48M to fix AI's conflicting-answer problem

What's the deal? QuerioDealroom has a profile for this one. Try Dealroom →, a London-based analytics platform for data teams and their AI agents, launched this month with €4.48 million ($5 million) in total funding. Investors include Forum VenturesDealroom has a profile for this one. Try Dealroom → and HaatchDealroom has a profile for this one. Try Dealroom →. The startup, founded in 2023, aims to stop different AI tools from returning conflicting figures when a company's business logic is scattered.

What's the endgame? Querio lets data teams own the logic and make it available across tools such as Slack and ClaudeDealroom has a profile for this one. Try Dealroom →. Its core product is an AI agent that manages a notebook session, letting any team member ask questions in natural language and receive live insights.

How does it work? The platform sits on top of existing data infrastructure, with integrations including PostgreSQL, Snowflake, and BigQuery. To curb errors, it uses "Golden Queries" — pre-verified SQL segments from technical teams that guide the AI toward correct metrics and joins.

Why now? The launch lands amid a shift in enterprise AI toward shared, governed business definitions. Google introduced Knowledge Catalog context tools in October, while AtScale and Alteryx have announced ways to ground AI agents in common metrics. That activity validates the problem Querio targets.

What could go wrong? It is entering a crowded market with established analytics vendors. The €4.48 million is an early bet on Querio's approach — not yet evidence of adoption or product-market fit.

The signal: As companies plug more AI agents into their data, the question shifts from whether a tool can answer to whether every tool gives the same answer. Querio is wagering that the fix is putting data teams, not the models, in control of the logic.

Read more: EU-Startups

Image credit: Generated with Gemini