Answers from your documents. Only what each user may see.
Retrieval-augmented generation is the fastest way to put company knowledge to work — and the fastest way to show a confidential document to the wrong person. JanusTB checks rights before any passage reaches the model.
Search ignores permissions
A standard RAG pipeline retrieves the most relevant passage, not the one the user is allowed to read.
Documents shipped out
Indexing a document often means sending it in full to an external embedding provider.
Answers without a trail
When an answer is questioned, nobody can say which documents it used or who asked.
Answers from your documents. Only what each user may see.
Every passage is checked against the user’s identity, role and the document’s classification before it can enter the model context.
Relevant context, authorized access.
Retrieval uses the same policy engine as the gateway. Confidential documents are never sent to external embedding providers.
Rights checked at retrieval
Each passage is checked against the user’s identity, role and the document’s classification before it enters the model context.
Confidential stays inside
Confidential documents are never sent to external embedding providers.
Same policy as the gateway
Answers are generated under the same rules as every other AI request.
Your documents
PDF and DOCX ingestion, and import from Google Drive.
- Company knowledge available to the people allowed to see it
- No confidential document sent out for indexing
- Every answer recorded with the decision behind it
See it on your own data flows.
A 30-minute demo with the founders, on the use case that matters to you.