Brewit

Designed for business teams who need immediate data insights, Brewit transforms raw database connections into an interactive analytics layer accessible to everyone in an organizationnot just data engineers.

The platform's automated SQL query generation converts natural language questions into optimized database queries and returns results as polished data visualizations, charts, and summaries rather than raw tables requiring manual interpretation.

A built-in data catalog maintains an organized index of all connected data assets, table definitions, and column metadata, enabling the AI to produce accurate, context-aware queries even across complex multi-table database schemas without user guidance on data structure.

Brewit's role-specific AI agents are a key architectural differentiator, providing different team members with AI analysts configured for their domaina finance AI agent that understands revenue metrics and P&L structure, a marketing AI agent calibrated to campaign performance and attribution data, and operations agents focused on fulfillment, inventory, or customer service metrics.

This specialization ensures that each team receives data insights presented in the language and frameworks most relevant to their decision-making context.

A drag-and-drop dashboard builder allows teams to save frequently referenced charts and metrics into persistent dashboards that refresh automatically with live data, providing executive teams and department heads with real-time performance visibility without requiring a dedicated BI engineer to maintain the dashboard infrastructure.

The approval workflow feature enables data governance by routing AI-generated queries and reports through a human review step before results are shared more broadly, protecting against misinterpretation of sensitive business data.