Rasgo

• Natural-language interface to query and analyze enterprise data warehouses directly
• AI-generated documentation for datasets: dataset summaries, column descriptions, metadata, and readiness status
• Automated metadata indexing so AI can understand table schemas without moving raw data
• Ability to create specialized AI agents trained on business domain context to handle analytics tasks
• Support for major data warehouses (currently including Snowflake and BigQuery)
• Option to bring your own LLM provider key (e.g. OpenAI) for AI calls, for flexibility and security
• Visualization and insight generation: automatic creation of charts and interpreted results from data queries
• Ability to translate natural language questions into SQL transforms or queries, with follow-up exploration options
• Enterprise-grade data governance: raw data remains in your warehouse, metadata is used for AI reasoning, respecting privacy and compliance
• APIs and SDK (e.g. Python SDK) for programmatic access and integration into workflows

Rasgo is an advanced AI-orchestrated analytics platform that transforms how organizations interact with their enterprise data warehouses. Rather than relying solely on traditional BI tools or manual SQL writers, Rasgo leverages large language models and AI reasoning to act as a data-warehouse copilot. With Rasgo, teams can ask questions in plain English — for example “Show me monthly revenue by region”, “What products saw sales growth last quarter”, or “Highlight top churn risk segments” — and the system will automatically convert these into correct SQL queries, execute them on your data warehouse, and return results along with visualizations and natural-language explanations.

Beyond just querying, Rasgo streamlines data management by automatically generating documentation for your datasets. As soon as a table is activated, Rasgo indexes its schema, samples data, and produces dataset descriptions, column-level metadata, and notes on data granularity and use. This greatly reduces the manual effort of cataloging and documenting data, and helps teams maintain data governance and clarity. The platform also allows creation of specialized AI agents trained on your business context — turning raw data into domain-aware analytics assistants that can perform complex tasks, recurring reports, and custom workflows.

Rasgo supports major cloud data warehouses (such as Snowflake and BigQuery) and ensures data privacy by keeping all raw data within your infrastructure — only metadata is processed for AI reasoning. For organizations needing more control, users can supply their own LLM API keys. Developers can also integrate Rasgo programmatically via SDKs or APIs, embedding Rasgo’s analytics capabilities into internal tools or ML pipelines. With automated insights, visualization, natural-language interaction, and governance built-in, Rasgo dramatically reduces the time between data and decision-making. Whether you are a data analyst, business user, or executive, Rasgo transforms your data warehouse into an intelligent environment — enabling faster, accurate, and scalable analytics that drive better business outcomes.