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Document AI & Data Processing

Replace manual data entry with AI that reads your documents, extracts structured data, validates it against your rules, and routes it to the right place — automatically.

What we build

We build end-to-end document processing pipelines that handle ingestion, extraction, validation, and routing without human involvement for the vast majority of documents.

AI extracts structured data from unstructured documents — handling varied layouts, scanned quality, and inconsistent formatting. A rules-based validation layer cross-checks the extracted data against your business rules and flags anything that needs human review. Intelligent routing then classifies and sends each document to the right system or team.

For clients with partners or customers who need to submit documents, we build client-facing APIs so the process is seamless end-to-end.

Common use cases

  • Invoice processing from email into accounting software
  • Contract extraction — pulling key terms, dates, and obligations into a CRM
  • Application form processing for financial services or HR
  • Compliance document review and classification
  • Purchase order processing and three-way matching
  • Partner document intake via API with structured output

Typical results

10xfaster document turnaround
98%extraction accuracy on structured documents
65%cost reduction in document processing
3 FTEsredeployed to higher-value work

Common questions

What types of documents can you process?

Contracts, invoices, purchase orders, policy documents, application forms, compliance filings, and more. We handle PDFs, scanned documents, Word files, and structured data exports. If humans are currently reading it and entering data from it, we can likely automate that.

What accuracy levels do you achieve?

For well-structured documents, we consistently achieve 97-99% extraction accuracy. For lower-quality scans or heavily varied formats, accuracy is typically 90-95%. We always include a validation layer that flags low-confidence extractions for human review, so errors do not slip through.

How does the system handle exceptions and errors?

Every pipeline includes a rules-based validation layer that checks extracted data against your business rules. Exceptions — missing fields, values outside expected ranges, or low-confidence extractions — are automatically routed to a human review queue with the relevant context highlighted.

Can external partners submit documents via API?

Yes. We build client-facing APIs that let partners or customers submit documents programmatically and receive structured data in return. This is common in financial services, legal, and logistics where counterparties need a clean integration rather than a manual upload process.

Free · 30 minutes · No commitment

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