AI Knowledge Base & Search
Ask your company brain.
Your SOPs, contracts, playbooks, and project archives — searchable by meaning, not just keywords. Every answer cites the source document, page, and section. Built on RAG (retrieval-augmented generation), private to your org.
The places knowledge actually lives.
Most companies don't lack documentation. They lack the ability to find it across 6 different tools. We unify the search layer without moving the documents.
Retrieval-Augmented Generation, plainly.
An LLM on its own knows nothing about your company — and inventing an answer is the failure mode you must avoid. RAG fetches the relevant chunks of your documents first, then asks the LLM to answer using only those. Citations are the proof of work.
The RAG stack we deploy.
Three things to fix before deploying.
Knowledge base questions.
Works alongside
How many times this week did someone ask: "where's that doc?"
That's the problem we solve. Drop us 50 of your real documents and we'll show you what a private RAG search looks like over your content.