What it is

Your company's knowledge, finally queryable.

Clag is a permission-filtered enterprise RAG layer trained on your own data. Ask anything in plain English and get a precise, cited answer — never generic AI noise.

The problem

Your answers are already in your data.

Your business generates enormous amounts of valuable information — internal docs, support tickets, product specs, customer history. It lives across Notion pages, Slack threads, PDFs, and databases.

The knowledge exists. The problem is that nobody can find it when they need it, and a generic chatbot has never seen any of it.

📄 Docs & wikis scattered across tools
💬 Answers buried in old Slack threads
🗂️ PDFs and databases nobody searches
⏳ Hours lost re-asking what's already known
1 query
searches everything you've connected — and cites where each answer came from.

The solution

A RAG layer trained on you.

Clag deploys a Retrieval-Augmented Generation layer over your specific data. Ask a question; it retrieves the relevant context, reasons over it, and returns a precise answer with citations back to the source.

No hallucinations. No generic AI noise. Your data never trains other companies' models and never leaves your environment.

Private by default

Runs on your own server or cloud, next to your data. Documents and queries never leave your control.

Grounded & cited

Every response is retrieved from your actual data and attributed to its source, so you can trust and verify it.

Connects everything

Notion, Confluence, Drive, Slack, databases, PDFs — one query searches across all of it at once.

See how it works.

Three steps from scattered documents to a live, queryable intelligence layer.

How it works →