Querio provides text-to-SQL capabilities wrapped in a governance framework that ensures query consistency across an organization. The platform connects directly to live data warehouses and enforces a semantic layer that maps business terms to specific database columns, calculations, and filters. When users ask questions in natural language, the generated SQL follows the organization's defined business logic rather than making assumptions.
The governed approach solves the trust problem with AI-generated analytics. In most organizations, different teams define metrics differently, leading to conflicting reports and eroded confidence in data. Querio's semantic layer ensures that revenue means the same thing whether queried by the finance team, the product team, or the CEO, regardless of how the natural language question is phrased.
Querio targets enterprise organizations where data governance and consistency are critical requirements. The platform integrates with major data warehouses including Snowflake, BigQuery, and Redshift, and is used for mission-critical business intelligence where accuracy and auditability are non-negotiable.
