Zenlytic

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.

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 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.

Chat with your data — an AI data analyst for CSVs, sheets, and DBs.

An AI data analyst that lets you upload CSVs, Excel, and Google Sheets, then ask questions in plain language to clean, analyze, visualize, and model your data. It writes and runs Python behind the scenes and can generate charts, slides, and reports from the results. Pro plans add direct connectors to live databases like Snowflake, BigQuery, and Postgres.