Rasgo
Rasgo is a generative AI tool that aims to revolutionize self-service analytics by providing users with the ability to make data-driven dec...
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What is Rasgo?
Rasgo is an AI-powered copilot for enterprise data warehouses that uses GPT-orchestrated agents to enable natural language analytics. It democratizes data access by allowing business users to ask questions about data in plain English, which are automatically converted to auditable SQL queries, reducing the time analysts spend on ad-hoc requests.
Rasgo pricing
Pricing model: Free
Custom enterprise pricing; no free tier available
Rasgo pros
- Natural language interface enables non-technical users to query data without SQL knowledge
- Data remains secure in your data warehouse; no raw data is copied or moved externally
- Reduces time to create data products by 80% with AI-orchestrated analytics and automated insights
- All AI interactions are logged and fully auditable, ensuring transparency and trust
- Integrates seamlessly with existing Snowflake and BigQuery environments
Rasgo cons
- Currently limited to Snowflake and BigQuery data warehouses; other platforms not yet supported
- No free tier available; custom enterprise pricing only
- Requires existing enterprise data warehouse infrastructure; not suitable for small-scale or non-warehouse analytics
Frequently asked questions about Rasgo
How does Rasgo keep my data secure?
Raw data never leaves your data warehouse. Rasgo uses a semantic layer that translates metadata into a format LLMs can understand, ensuring no data is copied externally.
Which data warehouses does Rasgo support?
Currently supports Snowflake and BigQuery, with plans to support additional data warehouses in the future.
Do I need SQL expertise to use Rasgo?
No. Rasgo translates natural language questions into SQL queries automatically, making data analysis accessible to non-technical business users.
What makes Rasgo different from other data AI tools?
Rasgo uses GPT for intelligent reasoning to act like a knowledgeable business analyst, employing AI-orchestrated agents that automatically build semantic layers and discover insights, rather than just providing a chat interface.