NLP and document intelligence
Read, classify and extract structured data from your documents and text, automatically.
We build natural language processing (NLP) and document-intelligence systems that turn unstructured text into structured, usable data. That includes entity extraction, classification, summarisation, sentiment analysis and parsing complex documents such as invoices, contracts and forms into clean fields. We combine modern language models with validation rules and human review so the output is accurate enough to feed straight into your systems.
Included in this service
Document extraction
Pull line items, dates, parties and key fields from invoices, contracts and forms into structured data.
Classification and routing
Automatically tag and route incoming documents, emails and tickets to the right place.
Summarisation
Condense long documents and threads into accurate, sourced summaries for faster review.
Validation and review
Confidence scoring and human-in-the-loop checks so low-certainty extractions get verified, not trusted blindly.
What you walk away with
- Document-extraction pipeline with structured output
- Classification or routing model
- Validation rules and review workflow
- Accuracy report by document type and field
- Model card and usage notes
- Documentation and handover
A clear path from problem to outcome
Frame and qualify
We pin down the business outcome, the data you already hold and the constraints (latency, budget, privacy, residency). We agree success metrics up front, an offline accuracy or quality target plus a business KPI, so we build something measurable, not a demo.
Prototype on your data
We build a working proof of concept against a representative slice of your real data, not a public dataset. You see honest numbers early: retrieval quality, model accuracy, cost per request and failure cases, so the go or no-go decision is evidence based.
Engineer for production
We harden the prototype into a reliable system: data and feature pipelines, evaluation suites, access controls, observability and CI/CD. We integrate with your stack and put guardrails and human review where the cost of an error is real.
Deploy, monitor and improve
We ship to production, instrument it and watch for drift, regressions and cost creep. You get clear documentation, a retraining or re-indexing routine and an evaluation baseline so quality holds up and you can improve it over time.
Frequently asked questions
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