Rasgo

Converts natural language questions into executable SQL queries without requiring users to write SQL manually. Analyzes the user's intent and generates appropriate database queries that can be executed against connected data warehouses.

Creates a centralized semantic layer that defines and standardizes metrics across the organization. Ensures consistent metric definitions across all users and eliminates conflicting interpretations of business metrics.

Automatically generates analytical insights and findings from data queries without requiring manual interpretation. Identifies patterns, trends, and anomalies in query results and presents them as actionable insights.

Connects to various data warehouses and databases to enable querying and analysis of stored data. Manages authentication, schema discovery, and data access for multiple data sources.

Speeds up the process of answering one-off business questions by eliminating the need for analysts to write custom queries. Enables rapid iteration on analysis requests from stakeholders.

Automatically discovers and catalogs database schema information including tables, columns, relationships, and data types. Enables users to explore available data without manual documentation.

Enables business users without technical skills to independently perform data analysis and generate reports. Removes technical barriers to data access and analysis.

Presents query results in visual formats such as charts, tables, and dashboards. Makes data more accessible and easier to understand for non-technical users.