This article covers Querio, a data startup, which has closed a seed funding round of £3.8m to build an analytics layer that keeps business logic in version-controlled code and allows AI tools to answer questions from a single source of truth. It is intended to provide data teams and organisations with a governed, auditable source of metrics and dashboards so AI agents and analytics surfaces produce consistent answers.
Querio, a data startup, has closed a seed funding round of £3.8m to build an analytics layer that keeps business logic in version-controlled code and lets AI tools answer questions from a single source of truth. The platform, which the founders say is designed to replace parts of the “modern data stack,” launched with backing from BMW i Ventures, LAUNCH, Haatch Ventures, Araya, Forum Ventures and Secways, plus angel investors from OpenAI, Google, Robinhood and Slack.
Many companies are already asking data questions inside AI chat tools, Slack or notebooks and getting inconsistent answers. Querio’s approach is to move metrics, dashboards and permissions into a Git repository the data team controls so every AI agent and analytic surface answers from the same defined logic. For organisations wrestling with trust and governance as they add AI to data workflows, that model is an attempt to reduce fragmentation while keeping human oversight on changes.
Querio presents itself as an analytics platform for data teams and their AI agents. Key elements in the launch material include:
The product messaging stresses auditability and a human-in-the-loop model that lets data teams permit AI agents to do more of the routine work while retaining control over changes that reach the business.
The seed round lists BMW i Ventures, LAUNCH, Haatch Ventures, Araya, Forum Ventures and Secways as participants. The announcement also notes angels from OpenAI, Google, Robinhood and Slack.
Investor communications in the release underline a belief in tooling that makes AI-driven answers auditable and portable across internal systems. No single lead investor was identified in the public announcement.
If you're researching potential backers in this space:
In the announcement, Rami Abi Habib, Co-founder & CEO at Querio, said:
For thirty years, analytics tools have kept a company's logic inside the vendor's product, where it's hard to move and hard for humans, and now AI to work with.
The launch material also lists Javier Bonilla as Co-founder & CTO, and names Mariia Krutsko (Founding Designer), Nikolay Alexandrov (Founding Engineer), Mohammed Hussain (Founding Engineer), Daniel Merighi (Founding Operator) and William Hirth (Founding Engineer) as part of the founding team. The company is hiring for engineering and other roles and is positioning the platform as available to try immediately.
Querio’s proposition sits at the intersection of two trends: the explosion of AI interfaces that query company data and a growing preference among data teams for storing logic as code. Keeping metric definitions in Git aims to solve practical problems around reproducibility, permissions and lineage that arise when multiple tools and agents consume the same data.
The raise feeds into ongoing investor interest in infrastructure that helps enterprises use AI with greater trust and governance. It also highlights how startups are rethinking parts of the data stack to be more portable and auditable.
This deal adds another data-focused investment into the market and will be watched by UK and European founders and investors looking for patterns in how analytics and AI converge in enterprise settings.
| Investors | Investment Focus | Startup Investments | Round Size | Connect |
|---|---|---|---|---|
![]() BMW i Ventures( ) | ||||
![]() Haatch( ) This award-winning UK-based venture capital firm focuses on pre-seed and seed in... Stamford | ||||
![]() Forum Ventures( ) | ||||
![]() OpenAI( ) | ||||
| All investors | All investor sectors | All funded startups | All funding rounds |
Click here for a full list of 7,589+ startup investors in the UK