Services

Document AI that turns paper into data.

We turn invoices, contracts, forms and scans into structured, validated data — OCR and extraction pipelines built for accuracy and a clean audit trail.

Most organisations still run on documents — invoices, contracts, statements, forms — and most still re-key them by hand. We build pipelines that read those documents, pull out the fields that matter, validate them against your rules, and hand back structured data with a clear trail of what came from where. Less typing, fewer errors, and numbers you can reconcile.

Where we help

OCR and text extraction from scans, PDFs and photographed documents
Field-level extraction from invoices, contracts, forms and statements
Document classification and routing by type and content
Validation against business rules, with confidence scores and review queues
Table and line-item parsing where the structure actually matters
Human-in-the-loop review for low-confidence or high-stakes extractions
Reconciliation of extracted figures against your systems of record
On-premise processing where documents are confidential

Example builds

Reconciliation at scale. Our financial-automation work matches transactions across sources, surfaces the breaks, and gives finance a clean workflow to resolve them — extracting and reconciling figures with a full audit trail behind every match.

Reading a content stream. Our media monitoring system ingests a continuous feed of articles, extracts and summarises the substance, and routes it — document understanding applied to a moving target rather than a static file.

Documents into a workflow. In our CRM automation suite, extraction feeds the repetitive parts of intake and document assembly, so structured data flows straight into the process instead of being typed twice.

How we engage

We begin with your real documents in all their messiness — the faded scans, the odd layouts, the exceptions — because that is where accuracy is won or lost. A two-week sprint builds extraction for one document type and measures field-level accuracy honestly, including where a human still needs to confirm. From there we widen coverage and wire the output into your systems. See our services, or send us a sample of the documents you are drowning in.

Common questions

How accurate is automated extraction?: It depends on document quality and consistency, which is why we measure on your own samples up front. We attach a confidence score to every field and route low-confidence cases to a review queue, so accuracy on what goes through unattended stays high.
Can it handle messy scans and varied layouts?: That is the realistic case, and what we design for. We combine OCR, layout-aware models and validation rules to cope with poor scans and inconsistent formats, rather than assuming a single tidy template.
Can sensitive documents stay in-house?: Yes. Where confidentiality requires it, we run the whole pipeline on-premises with local models so documents never leave your environment — the same approach behind our privacy-focused work.

AI & machine learning Retrieval-augmented generation (RAG)Computer vision

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Where we help

OCR and text extraction from scans, PDFs and photographed documents
Field-level extraction from invoices, contracts, forms and statements
Document classification and routing by type and content
Validation against business rules, with confidence scores and review queues
Table and line-item parsing where the structure actually matters
Human-in-the-loop review for low-confidence or high-stakes extractions
Reconciliation of extracted figures against your systems of record
On-premise processing where documents are confidential

Example builds

How we engage

Common questions

How accurate is automated extraction?

It depends on document quality and consistency, which is why we measure on your own samples up front. We attach a confidence score to every field and route low-confidence cases to a review queue, so accuracy on what goes through unattended stays high.

Can it handle messy scans and varied layouts?

That is the realistic case, and what we design for. We combine OCR, layout-aware models and validation rules to cope with poor scans and inconsistent formats, rather than assuming a single tidy template.

Can sensitive documents stay in-house?

Yes. Where confidentiality requires it, we run the whole pipeline on-premises with local models so documents never leave your environment — the same approach behind our privacy-focused work.