What is Mitzu?

Mitzu is a warehouse-native agentic product analytics platform that connects directly to your data warehouse and turns natural language questions into deterministic, explainable analytics on customer journeys, funnels, cohorts, and retention. It sits at the intersection of product analytics, customer journey analytics, and marketing analytics, collapsing the gap between data teams and business teams by removing the need for SQL, ETL, or event copying. Product managers, growth marketers, and data analysts use Mitzu to understand why activation stalls, why churn spikes, which cohorts are shrinking, and how users move through high-volume web and mobile experiences with billions of events.

Originally built as a warehouse-native customer journey analytics solution for app-driven businesses, Mitzu has evolved into an AI-powered analytics agent that handles complex diagnostic investigations directly on Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Trino, and other modern data stacks. Over time it expanded from basic B2C SaaS metrics to a full product analytics platform with funnels, retention, cohorts, event catalogs, and no-code insights, then layered on an AI agent that generates deterministic SQL, surfaces findings, and monitors key metrics in a single environment.