
TL;DR
Using your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.
We built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.
Get started in minutes, for free at app.bitboard.work
Problem
The most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.
Legacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.
How BitBoard works
Connect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.
Hosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.
Work in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.
Analysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.
Connecting your data
Want to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.
For ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.
Onboard in minutes, for free
Try pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.
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