01
New projects
A paragraph about the problem is enough to start. We reply within two working days, usually with questions rather than a quote.
AI · Service Intelligent document processing
Extract data from invoices, contracts, forms and IDs with AI: OCR plus language models, checks against your rules, and human review when confidence is low.
In short
Intelligent document processing (IDP) turns documents — invoices, purchase orders, contracts, application forms, identity documents — into structured data a system can use. Modern IDP combines optical character recognition with language models that understand layout and context, then validates the result against your rules and sends uncertain fields to a person.
- How to engage
- Product build
- Practice
- AI
Signs this is the right service
- Staff key data from PDFs and scans into your systems by hand.
- Documents arrive in many formats from many senders.
- Errors in extracted data cause payment, compliance or customer problems.
- Volumes spike and the backlog grows faster than the team can clear it.
What you get
Capture
Documents from email, upload, scanners or storage, with OCR for scans and photos.
Extraction
Fields, tables and line items pulled out with models that handle varied layouts.
Validation
Checks against your rules and records — totals add up, the supplier exists, the PO matches.
Human review
A review screen for low-confidence fields, with the source highlighted beside each value.
Integration
Clean data posted to your ERP, accounting, CRM or case system, with an audit trail.
The process
- 01
Collect samples
Real documents across your senders and formats, with the correct values marked.
- 02
Measure accuracy
Field-level accuracy on the sample set before anything goes live.
- 03
Launch with review
Every document reviewed at first, then only those below the confidence threshold.
- 04
Improve
Corrections feed back into the test set so accuracy keeps being measured.
OCRClaudeVision modelsPythonTypeScriptPostgreSQL
Document processing (IDP): common questions
How accurate is it?
- It depends on the documents. We measure field-level accuracy on your own samples before launch and route anything below the threshold you choose to a person.
Can it read handwriting and scans?
- Printed scans and photos work well; handwriting is harder and is usually routed to review more often.
Is our document data safe?
- Documents are processed under provider terms that exclude training on your data, and can be kept in your own cloud account.
Which documents work best?
- High-volume documents with a known set of fields — invoices, purchase orders, forms and statements — give the quickest return.
06 / Let’s build
Bring us the difficult problem.
02
Careers
Engineers, designers and researchers who like systems that are hard to get right. Send something you built and what you would change about it now.
03
Studio
Based in India and working remotely, with overlap hours agreed up front so your team always has a time to reach us.
04
Read
Guides on AI agents, RAG, MCP, tokenization and chain abstraction, written by the engineers who build them.