TextQL

TextQL is an AI data analyst agent that translates business questions into SQL queries, dashboards, and insights. It acts as the AI analyst layer for enterprise data warehouses, integrating with Snowflake, Databricks, BigQuery, Postgres, and Redshift. Rather than replacing analysts, TextQL augments them by handling ad-hoc data requests from business stakeholders, reducing the back-and-forth and freeing analysts for more strategic work. What sets TextQL apart is semantic-layer learning. The system learns your company's specific metric definitions and terminology, so it understands what 'monthly recurring revenue' or 'churn rate' means in your context. It delivers insights through multiple surfaces, Slack, email, and web dashboards, meeting users where they already work. Critically, TextQL respects your existing data permissions, inheriting row-level security from your warehouse so teams only see data they're authorised to access. Designed for mid-market and enterprise teams, TextQL targets the analyst-augmentation tier of the data stack: organisations that need self-service analytics without the cost of hiring more analysts.