Evidence before confidence
RAG answers should identify the approved source behind a claim, not ask users to trust fluent text without evidence.
RAG & OCR engineering
We build trusted RAG and OCR systems for real business work.
BlueMouse.ai helps organisations turn document-heavy processes into dependable software: OCR extracts the facts, RAG finds grounded answers, and controlled AI agents move approved work forward.
We focus on the engineering between a promising prototype and a useful production system: document ingestion, validation, retrieval quality, citations, permissions, integration, human review, and deployment. We are a London-based document AI company working with organisations across the UK, on site or remotely, with private and on-premise deployment when the documents require it.
OCRValidated document data
RAGCited knowledge retrieval
AgentsControlled workflow actions
Our focus
Make business documents searchable, structured, and useful.
Important knowledge is often trapped in PDFs, scans, forms, drawings, policies, and disconnected repositories. We design systems that extract that information, retrieve it with evidence, and place it inside a workflow people can inspect and control.
Engineering principles
Trust comes from the whole system, not the model alone.
Validation before automation
OCR output needs confidence checks, business rules, and review paths before extracted fields drive downstream decisions.
Permissions travel with data
Retrieval and agent tools should preserve document access boundaries instead of creating a new route around them.
Humans control important actions
Uncertain, sensitive, or high-impact work should stop at a clear approval gate with the relevant context attached.
Quality is measured
We define test sets and track extraction accuracy, retrieval relevance, citation quality, exceptions, latency, and cost.
Start with one valuable workflow
A focused first use case makes it possible to prove quality and operating value before expanding the architecture.
What we deliver
Specialist services across the document intelligence lifecycle.
Our work combines OCR and intelligent document processing, enterprise RAG development, evaluation, secure integrations, private deployment, and controlled AI-agent workflows. The architecture is selected around the use case, data boundary, review process, and measurable outcome.
Start with the documents
Bring a document set and one workflow worth improving.
We will help identify what should be extracted, what should be retrieved, where people need evidence, and which actions should remain under human control.