Holistics

AI data analyst that investigates business questions against a governed semantic layer.

Zenlytic is a self-serve business intelligence platform whose AI analyst, Zoë, answers natural-language questions by reasoning over a governed semantic layer rather than raw tables, so results map to agreed business definitions. It connects to warehouses like Snowflake, BigQuery, Redshift, and Databricks plus dbt and Looker semantic models, and returns inspectable analyses, visualizations, and reports inside the app or via Slack and Teams. The emphasis is on auditable, defensible answers for non-technical users.

Open-source GenBI agent: ask in plain language, get governed SQL, charts, and dashboards.

An agentic GenBI platform from Canner that turns natural-language questions into governed SQL, charts, and live dashboards over 20+ databases and warehouses, from BigQuery and Snowflake to PostgreSQL and DuckDB. Its open-source core is a semantic 'context layer' (MDL) that grounds LLM-generated queries in business definitions instead of raw schemas. Runs self-hosted via Docker or as a managed cloud with RBAC and row/column-level security.

Agentic analytics notebook for SQL, Python, and R data teams.

A collaborative data workspace combining SQL, Python, and R notebooks with shareable data apps. Its Notebook Agent and Magic AI generate queries, debug code, run exploratory analysis, and build visualizations as editable notebook cells. Built for data teams that need reproducible, governed analysis rather than one-off chat answers.

Agentic analytics platform with the Spotter natural-language agent.

An enterprise analytics platform built around search and AI. Its Spotter agent lets users ask questions in natural language and get governed answers on live data, reasoning through each step and checking its own work via a semantic layer. Also ships specialized agents for modeling, visualization, and code, with embeddable governed analytics.