Mitzu

An agentic product analytics platform that answers funnel, retention, and cohort questions in plain language by querying data directly in the warehouse and generating deterministic, reviewable SQL via an auto-built governed semantic layer. It sells to product, growth, marketing, and data teams in companies that store product and business data in warehouses such as Snowflake, BigQuery, Databricks, Redshift, and ClickHouse. Compared to tools that require hand-built semantic layers and LLM-written SQL, it auto-generates the semantic layer and uses a deterministic SQL engine with full SQL visibility.

Key features

• Funnel, retention, cohort analysis
• Impact analysis for releases and campaigns
• Deep dives across funnels and cohorts
• Hypothesis validation against cohort behavior
• Monitoring and anomaly detection
• Automated alerts via email and Slack
• Auto-built governed semantic layer
• Deterministic SQL engine
• Full SQL visibility for every answer
• Data warehouse integration
• CDP integrations
• Dashboard and visualization
• Web analytics
• Product analytics
• Mobile app analytics
• Visual analytics with drag-and-drop
• Real-time processing
• Automated workflows and reports
• Team collaboration and sharing