Ingest and classify
Accept approved PDFs, scans, images, email attachments, and repository files, then identify document type and routing rules.
Enterprise document intelligence
Intelligent document search with RAG and OCR.
Find answers across PDFs, scanned documents and business knowledge, with citations your team can open and check.
BlueMouse.ai builds document search systems around your approved sources and access rules. Optical character recognition (OCR) makes scanned text searchable; retrieval-augmented generation (RAG) finds relevant passages and prepares source-linked answers. Connect policies, contracts, reports and manuals in a workflow designed for your organisation, with human review before consequential action.
IngestOCR, classify, validate
RetrieveSearch, rerank, cite
ControlReview, act, audit
Document pipeline
Make scanned documents searchable, then retrieve answers with evidence.
Intelligent document search starts before the question. Our delivery platform connects OCR document processing with RAG development so text, tables, document versions and source references remain available through extraction, search and review.
Extract with OCR
Capture text, tables, and key fields while retaining page references, confidence signals, and the original document.
Validate and review
Apply schemas, business rules, duplicate checks, confidence thresholds, and human exception queues before downstream use.
Index approved knowledge
Organise passages with document, page, version and access metadata. Agree refresh rules so changed knowledge can be re-indexed.
Search and cite
Combine keyword and semantic search, rank supporting passages, and prepare answers with references back to the original source.
Approve, act, and measure
Send outputs to people or connected systems through explicit controls, then monitor quality, exceptions, latency, and cost.
From question to evidence
Find the policy, contract clause or procedure behind an answer.
A document search system should do more than return a plausible summary. The workflow below illustrates how a question can lead to an answer, its supporting passages and a review decision. It is an example workflow, not a client result or measured benchmark.
Search an approved purchasing policy
- A team member asks which approvals a purchase needs.
- OCR makes an approved scanned policy available for search.
- Retrieval filters sources by the user's access and the relevant policy version.
- The draft answer cites the policy passage and page for the reviewer to open.
- Missing or conflicting evidence is flagged; an authorised person decides the next step.
Keep search separate from action
Search and cited answers can be used independently. Add a controlled AI agent only when the workflow needs a draft report, review task or connected-system action. Define its tools, permissions and approval rules before it acts.
Explore security controlsKnowledge and systems
Search business knowledge within your access boundaries.
Permission-aware document search
Design retrieval around source ownership, document versions and the requester's access. Choose the deployment boundary and security controls before connecting sensitive knowledge.
Connect the repositories your team uses
Scope the required connectors for shared drives, SharePoint, document stores, databases and authenticated APIs. Source permissions and refresh behaviour are part of the integration design, not assumptions left to the language model.
Start with one knowledge source
Turn a document search problem into a scoped RAG and OCR pilot.
Tell us which documents your team searches, the questions they need answered and who can access the sources. We will define a focused pilot with agreed checks for extraction, retrieval, citations and review before expanding it.