We built an AI BI tool that actually knows your industry's data model

Most AI BI tools let you ask questions in plain English. The problem is they don't know what your data means.

Ask "what's our net sales this week?" and a generic tool generates SQL against whatever tables it finds. It doesn't know which rows to exclude, how your business defines "net", or which joins are correct. The answer comes back wrong — or confidently wrong, which is worse.

That's the gap intraQ is built to fill. Not the chat interface — everyone has that now. The Knowledge Layer underneath it: the metric definitions, table relationships, and business rules that make an answer trustworthy.

How it works

1. Connect your existing database — MySQL, Postgres, MSSQL, no warehouse needed
2. The Knowledge Layer maps your data to business meaning
3. Ask a question in plain English — get a verified answer with the SQL visible
4. Promote any answer to a live dashboard in one step

No data team required. No ETL pipeline. No warehouse.

The source-available on GitHub, try it or contribute:
👉 https://github.com/intraq-dev-ai/intraq