Text in. Structured insight out.
Turn unstructured documents, support tickets, contracts, and clinical notes into structured data your systems can act on — without humans reading everything.
Natural Language Processing (NLP) is the AI discipline that extracts meaning from human language. Modern NLP goes far beyond keyword search — it understands context, intent, entities, and relationships across thousands of documents simultaneously. We build NLP pipelines that slot into existing document workflows, CRMs, and data warehouses, turning text that sits unread into operational intelligence.
10×
faster contract review versus manual legal teams
85%+
precision on named entity extraction in domain-specific corpora
72%
average reduction in manual document triage time
What's included
Services within NLP & Text Intelligence
Each is a scoped engagement. Tell us which one fits your situation — or book a call and we'll scope it together.
Document Classification
Automatic routing of inbound documents — invoices, claims, applications, support tickets — to the correct workflow queue based on content type, urgency, and topic.
Sentiment & Opinion Analysis
Aspect-level sentiment extraction from reviews, survey responses, and support transcripts — beyond positive/negative to specific product features and service moments.
Named Entity Recognition (NER)
Custom entity extractors for your domain: products, medications, legal clauses, financial instruments, company names — trained on your documents, not Wikipedia.
Text Summarisation
Abstractive and extractive summarisation for long-form documents — case files, research papers, earnings calls, customer feedback threads — with faithfulness scoring to flag hallucinations.
Machine Translation & Localisation AI
Domain-adapted translation for technical, legal, and medical content where generic MT engines lose precision. Supports 50+ language pairs with glossary enforcement.
Question Answering & Knowledge Retrieval
Build Q&A systems over your internal documents, manuals, and knowledge bases — using retrieval-augmented generation (RAG) for grounded, citeable answers.
Information Extraction & Relationship Mining
Extract structured facts from unstructured text: who did what to whom, when, under what contract, at what price — output as JSON, database rows, or graph structures.
Contract & Legal Document AI
Clause extraction, obligation identification, risk flagging, and deviation detection across MSAs, NDAs, and procurement contracts — with audit trail for legal review.
Clinical NLP
HIPAA-compliant NLP for EHR data: ICD coding assistance, clinical note summarisation, adverse event detection, and cohort identification from free-text records.
Text Generation & Content AI
Controlled text generation for product descriptions, report narratives, and correspondence — with brand voice tuning and factuality constraints.
The problem
Why off-the-shelf NLP underdelivers in real deployments
These aren't edge cases — they're what we hear on almost every discovery call. If any of them sound familiar, this is likely the right place to start.
General-purpose models misread industry jargon — medical, legal, and financial text needs domain adaptation
Document structure (tables, headers, multi-column PDFs) breaks naive text extractors
Named entity recognition fails on proper nouns specific to your product catalogue or client base
Summarisation models hallucinate — acceptable in demos, unacceptable in legal or clinical contexts
Multilingual pipelines need separate engineering effort that generic vendors underscope
Who it's for
This is the right fit if…
These systems work best for organisations at a specific point — where the problem is real, the data exists, and generic tools have already proved insufficient.
Legal teams processing hundreds of contracts per month manually
Healthcare organisations extracting structured data from clinical notes
Insurance companies triaging and classifying inbound claims documents
Financial services firms monitoring news and filings for risk signals
Customer service operations drowning in unclassified support tickets
Common questions
What people ask before they book
Not sure where to start?
Talk it through on a free call.
We'll help you figure out which of these fits your situation — no pressure, no obligation.
Book a Free 30-Min Call