Querio

Querio is an analytics platform built around a git repository that the customer owns. Its pitch is that people and AI agents can build and maintain the whole analytics stack together, from transformation code to dashboards, and that every change is reviewed, diffed and reversible like any other code change. Querio announced a $5 million raise on its home page. The operating company is named in its terms as Querio Ltd.

What it does

The core idea is a shared context layer. Metrics, business rules and dbt models are defined once, in files in the repository, and every tool and agent reads the same definitions, so two people asking the same question get the same figure. Teams update dbt models and the analytics context together in a single pull request.

On top of that sit several surfaces. Notebooks let a user ask a question in plain language, inspect the SQL and code behind the answer, and go deeper. Dashboards and reports turn analyses into shared views that stay current with the warehouse. Developer tools expose the same context through an MCP server, Slack, a command line tool and an API, so agents can use the context, notebooks and dashboards. Embedded analytics lets software companies white-label Querio inside their own product, with SSO embedding, theming through CSS and HTML, and the same metric definitions reused across customer instances. AI-written code runs in a sandbox with no internet access.

Who it serves

Customers named in testimonials include OpenVPN, Growdash, Agree.com and Passport, covering data teams, founders and product teams that want self-serve answers without writing SQL. A startup programme is offered to companies before Series A.

Key facts

Operating company: Querio Ltd., described in its terms as a Delaware corporation Base: London, as reported by Tech.eu Funding: $5 million, as announced on the home page Free plan: $0, unlimited users and data connections, 500 AI credits a month Core plan: $25,000 billed yearly, shown as $2,099 a month, with 10,000 AI credits, SSO and API access, and a four-week pilot Enterprise plan: custom, scoped with sales Pricing model: no per-seat pricing, AI usage included on every plan Security: SOC 2 Type II report available through its Trust Center