AI analytics assistants · Zenlytic

Zenlytic

Governed semantic layer and AI data analyst that lets Claude, ChatGPT, Slack, or its own app query a company's metrics consistently.

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Zenlytic positions itself as a governed context layer between AI agents and a company's data warehouse. It reads an organization's existing semantic definitions (dbt metrics, LookML, or Power BI models) or lets a team define metrics directly, then exposes that governed layer to Claude, ChatGPT, Slack, Teams, or its own web app so different AI tools return the same numbers for the same question rather than each writing ad hoc SQL. Under the hood a question is still compiled into SQL against the warehouse, and Zenlytic surfaces which fields are human-approved so results can be audited. It connects to warehouses including Snowflake, BigQuery, Redshift, Databricks, and Postgres, and is offered as a cloud service or deployed inside a customer's own VPC. Pricing is not published; prospects must request a demo.

At a glance

Vendor Zenlytic
Pricing model Quote only
Free tier —
Deployment Cloud, Self-hosted
Open source No
Best for Data teams that need one governed set of metric definitions reused consistently across multiple AI chat interfaces.

Pricing

No published pricing; sold via demo and direct quote.

Pricing has not been verified yet — see the vendor's site.

Features

  • Governed semantic/metrics layer shared across AI agents
  • Imports existing dbt, LookML, or Power BI definitions
  • Works inside Claude, ChatGPT, Slack, and Microsoft Teams
  • SQL decompilation showing which fields are human-approved
  • Query and failure observability to surface unanswered questions
  • Live, re-executing dashboards with role-based access control
  • Cloud or in-VPC (self-hosted) deployment

Integrations

Profile last reviewed September 21, 2026

Alternatives

Querio AI data platform built around version-controlled 'analytics as code' notebooks that answer questions against a defined context layer. Wren AI Open-source 'GenBI' engine that gives AI agents a governed semantic layer (MDL) for turning questions into SQL against a warehouse. Fabi.ai AI-native notebook combining SQL, Python, and chat-based analysis for building reactive dashboards and scheduled reports.

Zenlytic in the index now

Terms to know

Semantic layer A layer that defines business metrics and dimensions once, centrally, so every tool and report uses the same numbers. Natural language query Asking a data question in plain language and getting an answer without writing code or a query language. Data governance The policies, roles and processes that determine how data is defined, owned, accessed and kept compliant. dbt (data build tool) An open-source tool from dbt Labs that lets analytics teams write data transformations as version-controlled, tested SQL. Data analyst A practitioner who explores and reports on data, typically with SQL and BI tools, to answer specific business questions. Data warehouse A centralized, structured database optimized for fast historical reporting rather than day-to-day transactions.

Related guides

How to choose an AI analytics assistant AI analytics assistants are only as accurate as the context they're given — choose by what they query and how that context is governed, not the demo. How to use AI for data analysis safely Text-to-SQL and AI data assistants can speed up analysis or produce fluent wrong answers — the difference is what sits between the model and your data.