Querio is an analytics workspace for data teams and the people they support. It provides an environment where questions about connected data are answered through notebooks, with queries, calculations, and results visible in context. The system uses client-defined knowledge such as definitions, relationships, and business rules to guide analysis. Workflows can be refined by editing code and maintaining context in Git, enabling pull-request reviews of changes.
Querio offers multiple interfaces to work with data: in the browser, via a CLI, or through MCP and integrations with external tools. It emphasizes staying within the team’s own data stack and workflows, while enabling collaboration across roles and groups.
The platform supports building dashboards, automations, and reports that stay synchronized with data sources in a shared context. It emphasizes governance, access control, and traceability of changes to metrics and business rules across the analytics stack.
Querio is designed to support embedding and white-label deployments, allowing analytics features to be integrated into customer products with branded experiences and controlled data access.
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