Nomic Atlas

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 notebooks that let any team explore data in natural language with inspectable SQL.

Querio is a data platform built around agentic notebooks: teams and customers ask questions in natural language and Querio's agents generate the SQL and Python to answer them, with every query visible and editable. It connects to multiple data sources, integrates with Slack, and can embed analytics into customer-facing applications for users of any technical level.

AI-assisted self-service BI built on a programmable, governed semantic layer.

Holistics is a business intelligence platform that lets data teams define centralized metrics and modeling logic in a programmable semantic layer, then lets business users explore the data through AI queries or point-and-click without writing SQL. Its AI reasons over the governed semantic layer — generating AQL (Analytics Query Language) rather than raw text-to-SQL — so answers stay grounded in defined metrics, with lineage, multi-turn context, and Git-based version control for analytics-as-code.

Agentic analytics that investigates why your metrics moved and delivers the answer.

Tellius is an AI-native analytics platform that lets teams ask questions of enterprise data in natural language and get finished insights back, not raw dashboards. Its Kaiya assistant handles conversational analytics, automated anomaly detection, and autonomous root-cause investigation, chaining detection, explanation, and delivery into agentic 'missions'. Outputs include board-ready presentations and executive memos.

Agentic spreadsheet where every cell runs its own AI agent to research and fill data.

A web-based spreadsheet reimagined as a living workspace powered by swarms of AI agents. Each cell can run its own agent that finds, verifies, and fills in data, so the sheet actively researches, analyzes, and produces deliverables in real time. It's aimed at bulk data gathering and enrichment across consulting, finance, sales, and operations workflows.

AI-native data platform: warehouse, ETL, BI, and agents in one.

Definite is a data-platform-as-a-service that bundles a managed warehouse, ETL pipelines, modeling, and BI into one AI-native product. Its assistant, Fi, turns natural-language questions into SQL and builds full data apps — filters, KPIs, and tables — not just charts. It ships 500+ connectors and exposes data to external agents like Claude and Cursor over MCP.

AI data-analysis notebooks that turn questions into dashboards.

Fabi.ai is an AI-native analytics platform built around Smartbooks — reactive notebooks that blend SQL, Python, and natural-language querying. Analysts ask a question and Fabi generates the query, chart, or workflow, then turns the result into a shareable dashboard or scheduled report. It connects to warehouses like Snowflake, BigQuery, and Redshift.

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 product analytics with LLM observability built in.

A product analytics platform that folds session replay, feature flags, experiments, and a data warehouse into one stack. Its LLM analytics suite tracks traces, token costs, latency, and model errors for AI products, with automatic clustering that groups traces by behavior. Usage-based pricing with a generous free tier on every product.

AI-native collaborative notebook for data teams.

Collaborative data notebook positioned as a drop-in Jupyter replacement: real-time multiplayer editing, SQL + Python + R blocks, warehouse integrations (Snowflake, BigQuery, Redshift), and notebooks that deploy as data apps and dashboards. Deepnote AI generates, fixes, and explains code, and an agent can run analyses autonomously.