Loan screening documents · Proposals
Dozens of customer-submitted proofs are auto-classified, extracted, and entered into screening systems. Underwriters focus on review and judgment.
See related caseAI finds and structures only the fields you need from scanned and handwritten documents; humans review only what the AI isn't sure about. Verified data flows straight into your ERP and core systems.
OO Trading Co. ("Party A") and Grinda AI ("Party B") hereby enter into this service agreement as set out below.
{
"party": { "value": "OO Trading Co.", "confidence": 0.99 }, "amount": { "value": "$48,500", "confidence": 0.98 }, "period": { "value": "2026-08-01 ~ 2027-07-31", "confidence": 0.99 }, "clause": { "value": "Art. 12 Liability cap", "confidence": 0.95 }, "sign": { "value": "J. K**", "confidence": 0.72, "review": true }}A simplified interactive demo of the actual product experience.
Four real worries that make teams hesitate on document AI — here's how Grinda handles each. Tap a worry to see how.
"Every vendor's form is different — do we have to set it up for each one?"
Requires registering coordinates/templates per format, and re-setup whenever a new form arrives.
Understands the document's meaning to find fields — no templates. Even a form it's never seen is processed as-is.
From standardized forms to unstructured documents with handwriting — processed as they are.
Counterparty · Amount · Term · Special clauses
Supplier · Business no. · Amount · Tax
Ports · Incoterms · Line items
Applicant · Product · Handwritten entries · Signature
Items · Quantity · Unit price · Delivery date
Merchant · Amount · Date · Approval no.
Name · Number · Issue date (masked)
Validated with your documents in a pilot
Every industry has different documents and rules. See scenarios mapped to real workflows.
Dozens of customer-submitted proofs are auto-classified, extracted, and entered into screening systems. Underwriters focus on review and judgment.
See related caseShipping documents become data the moment they arrive, flowing into customs and settlement systems. Multilingual documents from overseas partners are handled too.
See related caseIncoming documents are auto-classified and extracted against criteria, speeding up assignment and review. On-premise deployment supports air-gapped environments.
See related caseExtracts parties, amounts, deadlines, and risk-related clauses from hundreds of pages, cutting review time.
See related caseClaim submissions become data automatically, shortening payout screening cycles. Handwritten entries are reviewed by confidence.
Order and settlement documents in every vendor's format are unified into standard data, eliminating double entry into ERP.
Structured results are delivered as standard JSON. Automate document processing without changing your existing systems.
Both per-document real-time processing and high-volume batch runs
Connects to existing systems via standard APIs, Excel, and CSV
Deployments where documents never leave your infrastructure
{
"document": "invoice_2026-0718.pdf",
"type": "tax_invoice",
"fields": {
"supplier": { "value": "OO Trading Co.", "confidence": 0.99 },
"biz_no": { "value": "123-45-***", "confidence": 0.99 },
"amount": { "value": 12480000, "confidence": 0.98 },
"issued_at": { "value": "2026-07-02", "confidence": 0.99 },
"memo": { "value": "monthly settlement", "confidence": 0.71, "review": true }
},
"status": "review_required"
}Even the best AI can make mistakes. That's why Grinda is built to automatically catch low-confidence values and route them to a human. Data you can't be sure of never flows into your systems.
Analyze document types, volume, and workflow Define extraction fields and review criteria
Optimize extraction on your real documents Review the results directly to validate
ERP/core-system integration and training Go live with continuous quality monitoring
Recognition performance depends on document quality and type. That's why, before adoption, you can see extraction results on your own real documents, and in production a workflow where humans review only low-confidence fields keeps final data quality high.
Send us sample documents and we'll return the extraction results. Decide on adoption after you've seen them for yourself.