Tellius

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.

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.

Conversational analytics over your Databricks lakehouse data.

A no-code conversational analytics interface within the Databricks platform. Business users ask plain-English questions about lakehouse data and Genie returns SQL, charts, and natural-language explanations. It adapts to your business concepts and enforces Unity Catalog governance, so answers stay secure and auditable. Billed through Databricks compute rather than a separate license.

Open-source SQL agent — ask questions in plain English, get accurate SQL on your warehouse.

An open-source Python framework for text-to-SQL: you train a RAG layer on your schema, past queries and documentation, and Vanna generates SQL that actually fits your warehouse, returning results as DataFrames or Plotly charts. Connects to Postgres, MySQL, Snowflake, BigQuery, SQLite and more. Vanna 2.0 adds agent features — lifecycle hooks, middlewares, conversation storage and observability — with an optional hosted cloud for access control and audit logs.