Seconds
Time to classify and extract data from a corporate document
80%+
Reduction in manual document review for clean submissions
Key capabilities
Automatic classification of uploaded documents by type (certificate of incorporation, articles, shareholder register, etc.)
Structured data extraction: company name, registration number, directors, shareholders, dates
Cross-validation of extracted data against the application form and public registries
Gap analysis — identifies missing documents and requests them automatically
Confidence scoring on extracted fields so analysts know what to verify
Handles PDFs, images, and scanned documents
Powered by Claude (Anthropic) — state-of-the-art document understanding
Full extraction audit trail: what was read, what was found, what was flagged
How it works
1
Document uploaded
The applicant uploads a document — or it arrives via an automated channel. The platform accepts PDFs, images, and scanned files.
2
Classified automatically
The AI model identifies the document type and routes it to the appropriate extraction pipeline.
3
Data extracted and validated
Key fields are extracted and cross-checked against the application form and public registry data. Discrepancies are flagged for analyst review.
4
Case updated
Verified data populates the case record. Missing or inconsistent documents are flagged and the applicant is notified to resubmit.
Also part of the platform
See Document Intelligence in action
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