Agentic product analytics that tells you whyactivation stallsusers churn
Ask why a metric moved — Mitzu runs a diagnosis directly in your data warehouse and comes back with trusted findings.
Trusted by leading companies worldwide
Built for questions that demand deep diagnosis.
Zero configuration.
Zero SQL hallucinations.
Semantic Layer
Built by the Configuration Agent. Scans your warehouse, maps event tables, recognises Segment, Snowplow, Firebase and custom schemas. Nobody writes YAML.
Connects to your stack
SQL Engine
The agent assembles a specification. The engine generates the SQL. Same specification, same SQL, same answer, every time.
Full SQL Visibility
Every answer includes the SQL that produced it. Analysts verify the logic before sharing with stakeholders. No black-box AI.
Guaranteed
Get started in minutes, not weeks.
Connect your data warehouse
Create a semantic layer
Ask anything
Connect your data warehouse
Create a semantic layer
Ask anything
Works with your modern data stack.
Every analysis type. Trusted by design.
Funnel Analysis
Track conversion rates through multi-step user flows and identify drop-offs.
Segmentation
Slice and dice your data by any dimension to uncover hidden patterns.
Retention Cohorts
Measure how well you retain users over time across different segments.
Journey Mapping
Visualize user paths with Sankey diagrams and discover optimization opportunities.
Dynamic User Cohorts
Group users by shared characteristics and track performance over their lifecycle.
B2B Account Analytics
B2B-ready metrics for tracking expansion, churn risk, and engagement at company level.
Meets you where your work happens
In the app
Chat with the agent directly: full access to insights, dashboards, cohorts, and the semantic layer.
In Slack
@mitzu in any channel. PMs, marketing, and leadership get answers without ever opening the product.
In your AI tool
The MCP server plugs Mitzu into Claude, Cursor, ChatGPT, or any custom agent as a trusted analytics backend.
In the app
Chat with the agent directly: full access to insights, dashboards, cohorts, and the semantic layer.
In Slack
@mitzu in any channel. PMs, marketing, and leadership get answers without ever opening the product.
In your AI tool
The MCP server plugs Mitzu into Claude, Cursor, ChatGPT, or any custom agent as a trusted analytics backend.
Built differently from day 1
Most analytics tools fetch whatever you ask. Mitzu hunts.
She's been watching your warehouse since you connected it: every event, every schema, every filter. When you ask why a metric moved, she runs a full investigation and comes back with the reason, grounded in product analytics methodology.
You don't even have to ask why. Mitzu already figured it out.
Mitzu vs. Text-to-SQL / BI Agents
Cube, Tableau AI, Looker Agent, Veezoo, Querio
They ask the LLM to write SQL against a hand-built semantic layer. Weeks of setup, then a confident guess at the methodology. Obedient. Wrong on the diagnosis more often than you'd like. Mitzu finds the methodology errors before your stakeholders do.
Mitzu vs. Amplitude, Mixpanel, PostHog
Amplitude, Mixpanel, PostHog
Every event costs money to store. Their AI can only see what's inside their walls. Mitzu goes where your event, billing, CRM and support data already lives and she doesn't charge for every little mouse.
Mitzu vs. General LLMs
ChatGPT, Claude, Gemini, etc.
General-purpose AI lacks data context and can hallucinate analytics results.
Mitzu vs. Text-to-SQL / BI Agents
Cube, Tableau AI, Looker Agent, Veezoo, Querio
They ask the LLM to write SQL against a hand-built semantic layer. Weeks of setup, then a confident guess at the methodology. Obedient. Wrong on the diagnosis more often than you'd like. Mitzu finds the methodology errors before your stakeholders do.
Mitzu vs. Amplitude, Mixpanel, PostHog
Amplitude, Mixpanel, PostHog
Every event costs money to store. Their AI can only see what's inside their walls. Mitzu goes where your event, billing, CRM and support data already lives and she doesn't charge for every little mouse.
Mitzu vs. General LLMs
ChatGPT, Claude, Gemini, etc.
General-purpose AI lacks data context and can hallucinate analytics results.
What our customers say about us
“The biggest change is the flexibility, our business teams see the same interface, but under the hood, everything is more powerful and easier to maintain.”
“Effortless Integration, avoids redundant data storage and reduces time to insights at half the cost of standard product analytics tools. All of this is possible because of their amazing Customer Success Team.”
“Mitzu didn't just improve our tooling, it transformed our culture around data. We've gone from reactive reporting to proactive exploration.”
“Mitzu transformed our data into a reliable, transparent resource, removing the uncertainty of third-party tools. By giving us full control over our data, improving reliability, and offering faster query responses, it became an invaluable tool for our team. I highly recommend Mitzu to any team looking to generate insights for everyone, without the need for a dedicated analytics team.”
“Before Mitzu, we struggled with high costs and incomplete data. Now, all events are centralized, allowing teams to easily access data, resolve disagreements with charts, and share live data links for clarity.”
“A godsend for folks who have to keep all the data first party. You've got a lot of in education. There are lots of privacy constraints and it being warehouse native is a huge deal for us.”
“Mitzu transformed how our marketing team interacts with data. We went from waiting days for reports to getting instant answers. The AI assistant understands our metrics and delivers exactly what we need to optimize campaigns in real-time.”
“As a technical leader, I appreciate that Mitzu gives us complete data ownership while eliminating the analytics bottleneck. Our engineering team no longer gets flooded with ad-hoc SQL requests - everyone can self-serve with confidence.”
“The onboarding funnel improved by 30%, and ad hoc reporting is 50% faster, creating quicker, data-driven decisions. Mitzu is our Swiss Army Knife for data. It helps with quick, trustworthy insights without reliance on data teams.”
Frequently asked questions
The answer to why is in your warehouse. Let’s find it.
Connect in 10 minutes and ask the question your team has been putting off.