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Mitzu

Agentic Product Analytics on your data warehouse·mitzu.io

Mitzu is an agentic product analytics platform that connects directly to a company's data warehouse (Snowflake, BigQuery, Databricks, Redshift, ClickHouse) and answers funnel, retention, and cohort questions in natural language without moving or copying data. It automatically builds a governed semantic layer and generates deterministic, reviewable SQL so teams can trust every answer. The platform also monitors KPIs, detects anomalies, and runs autonomous deep-dive and hypothesis-validation analyses, delivering insights through the app, Slack, or connected AI tools.

What it's for

Answering funnel, retention, and cohort questions in plain languageImpact analysis of releases and campaignsDeep dive root-cause analysis of metric changesHypothesis validation against real cohort behaviorMonitoring KPIs and detecting anomaliesDashboard and visualization creationAccount health scoring and churn risk detection for B2B accountsFeature usage trackingTrial-to-paid conversion analysisOnboarding funnel analysis

Features 20

Automatic semantic layer built by a Configuration Agent
B2B account analytics and health scoring
Dashboards & visualization
Deep dive root-cause investigation
Deterministic SQL engine (same query, same answer)
Dynamic user cohorts
Embedded dashboards
Full SQL visibility for every answer
Funnel analysis
Hypothesis validation against cohort behavior
Impact analysis of releases and campaigns
MCP server for connecting to Claude, Cursor, ChatGPT
Monitoring & anomaly detection with proactive alerts
Natural language querying (no SQL required)
Retention cohort analysis
Segmentation
Self-hosting option for enterprise
Slack integration (@mitzu)
User journey mapping with Sankey diagrams
Warehouse-native analytics (no data copying)

At a glance

free tierfree trialself-hostableAPI

TypeWeb app

DeploymentHybrid

PlatformsWeb

Forproduct managers, growth marketers, customer success teams, data teams, non-technical teams, B2B companies

CompanyMitzu, Inc. · 2023

Integrations

SnowflakeBigQueryDatabricksRedshiftClickHouseAWS AthenaSegmentSnowplowFirebaseGA4SlackClaudeCursorChatGPT

Resources

Docs

Pricing

Enterprise plan pricing is custom and requires contacting sales. The site's structured data also states a free tier is available, though the pricing page itself lists only paid plans with a 14-day free trial.

Analyst$149/mo

14-day free trial available; 10% off when billed yearly

3 Editor Seats included, 300 AI insights; additional Editor seats cost $50/Editor/month

Team$749/mo

14-day free trial available; 10% off when billed yearly; sales contact option also offered

10 Editor Seats included, 2000 AI insights; additional Editor seats cost $75/Editor/month

EnterpriseQuote

Custom pricing; contact sales

Custom AI insights; unlimited workspaces and viewers

10% off when billed yearly