Your business knowledge, instantly searchable.
An AI assistant trained on your SOPs, contracts, and internal docs — so your team stops hunting through folders for answers.
Get started →This is the same retrieval-augmented generation architecture used in enterprise knowledge management — applied at a scale that makes sense for growing businesses, not just Fortune 500 companies.
Every business accumulates knowledge in scattered places — Google Drive folders, SharePoint sites, Notion pages, PDFs nobody remembers uploading. When someone needs an answer, they interrupt a colleague or spend twenty minutes searching. The knowledge exists, it's just not accessible at the speed work actually moves.
The RAG agent ingests your documents, indexes them with vector search, and answers questions with cited sources — in Slack, Teams, or a private web interface. Your team asks a question in plain language and gets the actual answer from your actual docs, not a hallucinated guess.
Connect your document sources
Google Drive, SharePoint, Notion, uploaded PDFs — wherever your knowledge lives.
The agent indexes everything
Documents are chunked, embedded, and stored in a vector database for fast retrieval.
Your team starts asking questions
In Slack, Teams, or a web UI — plain language questions, cited answers from your real documents.
Does it hallucinate answers?
The RAG architecture grounds every answer in your actual documents. If the information isn't in the source material, it says so instead of guessing.
How does it handle document updates?
Re-indexing runs on a schedule or on-demand. Updated documents are reflected in answers within minutes.
Can we control who sees what?
Yes. Access controls mirror your existing document permissions.
Ready to see how this works for your business?
Fill in the short form. We'll review your situation and come back with a concrete recommendation — not a sales pitch.