AI analytics on Snowflake without moving your data
Run AI analytics for Snowflake directly on first-party data. Mitzu translates natural-language questions into verified SQL so product and GTM teams can move faster without losing governance.
Why Snowflake teams adopt agentic analytics
Keep governance and speed up decision cycles.
Zero-copy architecture
Keep data where it belongs and avoid fragile duplication pipelines.
Verified SQL transparency
Give analysts confidence and business teams speed from the same interface.
Cross-functional adoption
Enable product, marketing, and growth teams to answer questions directly on trusted data.
Traditional BI on Snowflake vs AI analytics workflows
Remove the delay between question and action.
Traditional process
Request to prioritization to SQL drafting to dashboard updates and delayed decision.
Mitzu process
Question to SQL generation to answer and follow-up exploration in a single flow with full traceability.
AI analytics for Snowflake FAQs
Questions Snowflake data teams ask most frequently.
Start a free Snowflake analytics trial
Use your warehouse data and validate answers with visible SQL.