Structured data from messy documents—validated, traceable, automated.
Document Intake & Parsing
We replace swivel-chair document work with extraction pipelines, human-in-the-loop QA, and downstream workflow automation.
Accuracy
After human review loop
Processing speed
Formats
Why teams call us
- Manual keying of invoices, contracts, and intake forms
- Unstructured emails that never make it into systems
- Compliance exposure when paperwork goes missing
Measurable outcomes
- Cut manual data entry hours by 70%+
- Automatically surface missing documents or signatures
- Full audit trail of every extracted field
How the engagement runs
Step 1
Capture & classify
Centralise inbound docs from email, SFTP, portals, and scanners. Auto-classify and route by document type.
Step 2
Extract & validate
Use layout-aware models + rules to extract fields. Humans review edge cases inside a QA console.
Step 3
Trigger workflows
Push structured payloads into ERP/EMR/CRM systems and notify owners when exceptions need attention.
What you get
- Document connectors + queueing fabric
- Extraction models with confidence scoring + review UI
- Downstream integrations plus monitoring
FAQs
Can you work with scanned PDFs or handwriting?
Yes. We combine OCR, layout-aware models, and custom prompts for the hardest formats, then flag low-confidence fields for review.
How does approval routing work?
We map your existing approval rules (limits, cost centres, compliance holds) and automate notifications via email, Slack, or Teams.