Private document AI that cites the source
Search and question-answering over internal documents with user permissions applied before retrieval and a grounding gate before any answer is shown.
When this becomes necessary
Policies, contracts and operational records are difficult to find, but sending them to a generic chatbot creates a second problem: answers without evidence and access without the right boundary.
01 — Fit
Who this is for
- Operations teams answering the same document questions repeatedly
- Companies with permission-sensitive policies, contracts or records
- Bangla and English document collections, including mixed-script input
02 — System
What gets built
- 01Document ingestion, parsing, chunking and version tracking
- 02Hybrid retrieval filtered by the caller's permissions
- 03Answers with source references and inspectable excerpts
- 04Evaluation sets for retrieval and answer quality
- 05Refusal paths for missing evidence or inaccessible material
03 — Failure boundaries
The safeguards are part of the product.
- Permissions constrain retrieval rather than hiding results afterwards
- The model selects from fixed tools and never writes its own query
- Every stated figure must appear in a returned source record
- Held-out questions expose regressions before release
04 — Public proof
What you can inspect before a call.
Nexora AI publicly demonstrates the same permission-scoped, source-grounded approach over business documents and live operational records.
Inspect the proof →Typically 6 to 14 weeks, depending on corpus and permissions