Querio

Querio is an AI-native BI workspace that turns plain-English questions into inspectable SQL and Python against live data warehouses, with a semantic layer for consistent metrics and fully auditable answers.

Querio is a business intelligence platform built around natural-language data analysis. Business users ask questions in plain English and Querio generates SQL and Python that execute directly against their live data warehouse, returning tables, charts, and dashboards. Crucially, every answer is inspectable: users can see the exact query behind a result, which addresses a common trust problem with opaque AI analytics tools. The company reports high accuracy in converting natural language to SQL. Querio connects to major warehouses and databases including Snowflake, BigQuery, and Postgres, and layers a semantic model on top so that metrics are defined consistently across the organization. This lets both technical and non-technical users self-serve analytics while analysts retain control over definitions and governance. It positions itself as an AI-native alternative to traditional BI suites, aimed at teams that want faster answers without a dedicated analyst in the loop for every question. Querio is best for data-driven startups and mid-market teams that want to democratize data access while keeping outputs transparent and governed. Pricing spans per-user tiers and larger annual plans, and is increasingly sales-led, so buyers should confirm current terms. It is less ideal for organizations without a modern data warehouse or those needing heavily customized enterprise BI governance out of the box.