tools
Zenlytic
Zenlytic is an AI analytics platform that answers business questions from governed warehouse data and delivers cited reports and insights.
In inglese
Zenlytic’s Zoë agent connects to data warehouses, answers questions in natural language, explains results, and cites the source, filters, and metrics behind each figure.
It supports proactive metric monitoring, root-cause investigations, Slack and Microsoft Teams answers, and live Artifacts such as PowerPoint decks, Excel models, Word reports, and interactive memos. A 14-day trial is available; paid pricing was not published on an official pricing page found during this search.
Features
- Answers business questions in natural language using governed warehouse data
- Cites figures with source tables, filters, KPIs, and lineage
- Creates PowerPoint decks, Excel models, Word reports, and interactive memos
- Detects metric anomalies and investigates root causes
- Delivers scheduled investigations to Slack or email
- Answers questions in Slack and Microsoft Teams
- Builds and refines a business context layer through conversation
- Metrics layer is open source under the Apache 2.0 license
Use cases
- Analyze revenue, margin, retention, or operational performance
- Investigate metric changes and identify their root causes
- Monitor governed KPIs and receive scheduled read-outs
- Prepare board reports and executive review documents
- Let marketing, finance, sales, and operations teams query warehouse data
- Turn recurring questions into governed metrics and reusable reports
Pros
Cons
Latest updates
- Introducing Live Queries in Artifacts
Launching Live Queries, an improvement to Artifacts.
- Snowflake Semantic Views, Seamlessly Part of Zoë’s Context
Snowflake Semantic Views are part of Zoë’s Context.
- Introducing MCP Connectors for Zoë
Introducing MCP Connectors for Zoë.
- Closing the Loop with Your Business Context
Business context is held in views in Looker, Omni, dbt, Snowflake Semantic views, and Power BI.
- Announcing: Self-learning
Building the context, the metric definitions, the semantic layer takes time.
Capabilities
- Ask in plain language — “It lets my marketing and ops teams ask questions the way they actually think — no analyst required.” source
- Writes SQL — “We decompile the agent’s SQL and mark which fields are human-approved, so anyone can check the answer without reading a line of it.” source
- Charts and dashboards — “PowerPoint decks with slides, charts, and presenter notes” source
- Connects to your data — “Snowflake BigQuery Redshift Databricks Athena Azure Synapse Trino Postgres MySQL SQL Server MotherDuck Druid” source
- Spreadsheets — “Excel models with live formulas, not just values” source
- Self-hosted — “cloud or in-VPC” source
- Single sign-on — “SSO / SAML” source
Get it
Pricing
- Prices checked
- 2026-09-25