
Introducing the Basedash semantic layer
Create reusable SQL definitions for metrics and models, then let Basedash AI reference them across chat, charts, dashboards, insights, and automations. Define the metric once. Use it everywhere.

Create reusable SQL definitions for metrics and models, then let Basedash AI reference them across chat, charts, dashboards, insights, and automations. Define the metric once. Use it everywhere.

Embed Basedash inside your own product so your customers get dashboards and the Basedash AI agent on their own data — without ever leaving you. Row-level security keeps every customer to their own data. Analytics, inside your product.

Today we're launching the Basedash MCP server — a single URL that drops your data analyst into Claude Code, Cursor, ChatGPT, Windsurf, or any MCP-compatible client. Ask data questions where you already work.

Today we're launching the Dashboard Agent — the first AI agent that builds entire dashboards end-to-end. Describe what you want to track and Basedash picks the chart types, writes the SQL, and lays everything out for you.
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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“Before Basedash, reports could take weeks of back and forth. Now, they can be ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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Today we’re excited to introduce Autopilot, the next evolution of Basedash. Autopilot is an AI agent that proactively analyzes your data, finds the most important insights, and automatically surfaces them to your team.

Basedash is now publicly available. It’s a powerful, AI-native BI tool that lets you connect any data source and instantly get insights. Describe a chart or ask a question—Basedash handles the rest. Built for the AI era, designed to empower teams.

Skills are reusable bundles of instructions that every Basedash AI surface — chat, charts, dashboards, automations, insights, and tasks — can read on demand. Teach Basedash once, and it learns everywhere.

Today we're launching MCP connectors — plug Linear, HubSpot, Slack, Resend, Notion, GitHub, or any remote MCP server into Basedash and the agent can take action on the data it already reads. Connect any app. Act anywhere.

Automations are AI-powered workflows that analyze your data on a schedule, when something changes, or on demand — and deliver the results to Slack and email. Spin up an army of AI analysts who never sleep.

Today we're launching Insights — an AI agent that analyzes all your company data every day and surfaces the most important findings automatically. Think of it as a daily briefing from a data analyst who never sleeps.

Basedash now supports Postgres Row‑Level Security (RLS). Use the basedash.groups session variable to restrict rows per user or team across chats, charts, reports, Slack, and the Basedash Warehouse.

Your AI data analyst. The Basedash Agent answers questions, creates visualizations, and surfaces insights across all your company's data — with the power of a data analyst and the ease of ChatGPT. Just ask, even right from Slack.

Run Basedash inside your own infrastructure for the most secure deployment and full control over your data. Deploy in minutes with a one-line install, or use Docker, Kubernetes, and even fully air-gapped setups. AI-native BI on your own infrastructure.
We can help you migrate your data and dashboards from any other tool.