Intelligent Document Processing & NLP Services

Intelligent document processing turns the documents your business runs on — invoices, claims, contracts, forms and scanned PDFs — into structured, validated data your systems can act on. Our IDP pipelines combine OCR, layout-aware machine learning and language models, so unlike template-based capture they generalise to layouts they have never seen and flag low-confidence fields for review instead of guessing.

Around that we build the wider NLP stack: semantic search over your own content, retrieval-augmented generation (RAG) pipelines that answer questions with citations, entity extraction, classification, summarisation and sentiment analysis. Where data cannot leave your walls, we run secure on-premise LLM fine-tuning and private model hosting so intelligent document processing and search stay entirely inside your network.

Where an off-the-shelf intelligent document processing platform cannot reach — unusual layouts, mixed languages, data that cannot leave your network — we build the pipeline instead. Our intelligent document processing solutions are evaluated field by field against your own documents, so you know the extraction accuracy per field before anything goes live, and we integrate with the intelligent document processing software you already run rather than replacing it wholesale. Intelligent document processing in healthcare and intelligent document processing in insurance are the two domains we see most: referral letters, claims packs, policy documents and clinical correspondence.

A RAG system is usually the right first step for search and Q&A over your own content, and we design RAG systems around retrieval quality rather than model choice — chunking, embeddings, reranking and evaluation. Where behaviour rather than knowledge is the gap, our LLM fine tuning services train a private model on your material, on your infrastructure.