What does agentic analytics mean at Mitzu?

Agentic analytics is autonomous analysis on your warehouse: the AI analyst can plan steps, run guarded queries, compare cohorts, monitor KPIs, and explain results with transparent SQL instead of one-off chart generation.

How does Mitzu reduce AI hallucinations on data questions?

Answers are grounded in your semantic layer and warehouse schema; generated SQL is visible for review. The agent follows structured workflows rather than inventing metrics that are not defined in your models.

Which warehouses do AI agents run against?

Mitzu connects to Snowflake, BigQuery, Databricks, Redshift, Athena, PostgreSQL, ClickHouse, Trino, Firebolt, Fabric, and other supported engines—querying data where it already lives.

Can teams trigger the agent from Slack?

Yes. Product, marketing, and data teams can ask questions and get analyst-style answers in Slack while the same definitions power governed dashboards in Mitzu.

How do we buy Mitzu for multiple teams?

Pricing is seat-based with no per-event metering. Use the Pricing page or talk to sales for a rollout that covers analysts, PMs, and executives as needed.

AI Agents

AI-powered analytics that understand your questions

Ask questions in plain English and get instant, accurate answers from your data warehouse. No SQL required - just natural conversation with intelligent AI agents. Every workflow is grounded in your definitions first — see agentic semantic layer.

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Onboarding

Get started in minutes, not weeks.

From connection to insight in under 10 minutes. No complex setup, no data engineering required.

2 min

Connect your data warehouse

Agent config scans your warehouse and creates semantic layer.

5 min

Create a semantic layer

No need to write YAML at all. The produced data catalog is designed specifically to work with product analytics.

Instant

Ask anything

Our deterministic SQL engine makes sure there are no hallucinations.

2 min

Connect your data warehouse

Agent config scans your warehouse and creates semantic layer.

5 min

Create a semantic layer

No need to write YAML at all. The produced data catalog is designed specifically to work with product analytics.

Instant

Ask anything

Our deterministic SQL engine makes sure there are no hallucinations.

Capabilities

From simple questions to analytical deep dives.

Mitzu's Analytics Agent handles everything from quick metrics to complex behavioral analysis.

#analytics

Natural Language

Ask questions like you're talking to a colleague

No more complex SQL queries or waiting for data teams. Simply type your question in plain English and get instant, accurate answers with visualizations.

Plain English queries - no technical knowledge required
Automatic query optimization for fast results
Context-aware responses that understand your business
Follow-up questions for deeper analysis

Try AI Queries

Mitzu AI Agent

Ask anything about your data

Online

What was our conversion rate last week?

AI Agent

Your conversion rate last week was 4.2%, up 0.5% from the previous week. The highest performing day was Thursday with 5.1%.

Conversion Rate+0.5%

MonSun

Why did it increase on Thursday?

AI Agent

Thursday's increase correlates with your email campaign launch. Users from the campaign had a 6.8% conversion rate.

Ask a question about your data...

Automated Insights

Never miss an important trend or anomaly

AI continuously monitors your data and proactively surfaces insights you might have missed. Get notified about opportunities and risks before they impact your business.