Software & AI / Document Intelligence

Document intelligence that turns paperwork into data

Haink builds intelligent document processing (IDP) systems that read, classify, extract and draft from messy real-world documents — contracts, forms, scans, statements and reports. We combine OCR, layout-aware models and LLMs with validation and human-in-the-loop review, and can run the whole pipeline privately on infrastructure we supply.

What we build

01

Data extraction & classification

Pull structured fields and tables from PDFs, scans and images, and route documents by type — even across inconsistent layouts and formats.

02

OCR & layout understanding

OCR plus layout-aware models (LayoutLM/Donut-class) to handle scanned, multi-column and form-heavy documents where plain text extraction fails.

03

Automated drafting & generation

Generate memos, summaries and finished documents from raw source sets — with templates, style control and citations back to the source.

04

Validation & human-in-the-loop

Confidence scoring, schema validation and review queues so low-confidence items get a human while the rest flow straight through.

05

Pipeline integration

Wire extraction into your ERP/CRM, DMS or database with reliable interfaces, audit trails and reprocessing.

06

Private & on-prem processing

Process sensitive documents entirely within your network on GPUs we quote in the same contract — nothing leaves your environment.

Typical stack:

TesseractAzure / AWS TextractLayoutLMDonutLLM extractionJSON schema validationpgvectorPython

Representative results

Production systems delivered by our engineering team. Client names withheld under NDA; sectors shown to indicate context. See full case studies →

Immigration tech

Automated visa memorandum drafting

Drafting of visa memoranda from raw document sets — extraction, structuring and generation — automating 80% of routine drafting for case managers and cutting processing time substantially.

80% of routine drafting automated−45% case processing time+30% throughput

Frequently asked questions

How accurate is AI document extraction?

Accuracy depends on document quality and type, but with layout-aware models, OCR tuning and validation we typically reach high field-level accuracy and route only low-confidence items to human review — so end-to-end quality stays controlled.

Can you handle scanned or low-quality documents?

Yes. We combine OCR with layout-aware models and pre-processing for scans, photos and multi-column forms, not just clean digital PDFs.

What about multiple languages?

Yes — OCR and modern LLMs support many languages; we tune extraction and validation per language and document type.

Is our document data kept private?

It can be fully private. We can run the entire pipeline on-premises on GPUs we supply, so confidential documents never leave your network.

How does it integrate with our existing systems?

We deliver reliable integrations into ERP/CRM, document management systems and databases, with audit trails, reprocessing and monitoring.

Related practices

Have a project in mind?

Let's shape a clear plan with milestones, architecture options and an implementation roadmap — with right-sized GPU hardware if AI workloads are involved.

sales@haink.org