Make Sense of the Data That
Doesn't Fit in Tables
Over 80% of enterprise data is unstructured — contracts, emails, PDFs, scanned documents, call transcripts. We build AI-powered processing pipelines that extract, classify, and structure this data so it becomes as queryable as any database.
Document Classification
Data Extraction Accuracy
Processing Automation
Search & Retrieval
Unstructured Data Problems We Solve
Every industry sits on a mountain of unstructured data. Here's how we make it useful.
KYC Document Verification
Automatically extract and validate identity information from passports, utility bills, and bank statements — reducing KYC processing from 3 days to 15 minutes.
FinTechContract Analysis & Extraction
Parse thousands of legal contracts to extract key terms, obligations, expiry dates, and risk clauses — feeding structured data into compliance dashboards.
Legal & FinanceEmail & Communication Mining
Classify, route, and extract actionable items from customer emails, support tickets, and internal communications at enterprise scale.
EnterpriseInvoice & Receipt Intelligence
Extract line items, tax amounts, vendor details, and PO references from invoices in any format — handwritten, scanned, or digital PDF.
Accounts PayableMedical Record Processing
Parse clinical notes, discharge summaries, and lab reports to extract structured medical data — supporting research, billing, and care coordination.
HealthTechUnstructured Data Capabilities
AI models trained on domain-specific documents, not generic text — because a bank statement looks nothing like a medical report.
Intelligent OCR & Extraction
Beyond basic OCR — our models understand document layouts, table structures, and handwriting styles to extract data with 96%+ accuracy from even poor-quality scans.
Document Classification
Automatically categorize incoming documents by type, urgency, and department — routing invoices to AP, contracts to legal, and complaints to support without human sorting.
Named Entity Recognition
Extract names, dates, amounts, account numbers, and custom entities from free-text documents using NER models fine-tuned on your specific document types.
Sentiment & Intent Analysis
Analyze customer communications to detect sentiment, urgency, and intent — prioritizing high-risk interactions before they escalate.
Document Linking & Deduplication
Connect related documents across systems — matching invoices to POs, contracts to amendments, and correspondence to case files automatically.
Semantic Search & Retrieval
Vector-based search that understands meaning, not just keywords. Find the contract clause about indemnification even when it uses different legal phrasing.
How We Process Your Unstructured Data
Document Audit & Sampling
Collect representative samples from each document type, assess quality variance, and define extraction requirements with your domain experts.
Model Selection & Training
Choose base models and fine-tune on your specific document formats — with your team reviewing extraction results at every iteration.
Pipeline Integration
Connect document ingestion to your existing systems — email inboxes, document management platforms, cloud storage, or API endpoints.
Human-in-the-Loop Validation
Build confidence scoring and review workflows so low-confidence extractions get human verification while high-confidence results flow through automatically.
Continuous Improvement
Monitor extraction accuracy, retrain models on corrected data, and expand to new document types as your needs evolve.
Drowning in Documents Your Teams Can't Search?
Let us show you how AI-powered extraction can turn your document backlog into a structured, searchable knowledge base.
Book Free ConsultationStop paying people to read documents that machines can understand.
Our unstructured data solutions replace manual document review, eliminate data entry backlogs, and make every document in your organization searchable and actionable.
Our Approach to Document Intelligence
We build document processing systems for industries where accuracy is non-negotiable and scale is measured in millions.
Why We Lead in Document Processing
We have processed millions of financial documents — and we know where every AI model struggles.
Share Your Document Processing Challenge
Send us sample documents and we'll show you extraction results within 48 hours — free proof of concept.
KYC Processing Cut From 3 Days to 12 Minutes
Document Intelligence for VaultPay KYC
How we built an AI-powered document processing pipeline that extracts, validates, and cross-references identity documents — reducing VaultPay's KYC onboarding from 72 hours to under 15 minutes while maintaining 98% accuracy.
Manual KYC that couldn't scale with growth
VaultPay's compliance team was manually reviewing every identity document — passports, utility bills, bank statements — for new account applications. As user growth accelerated, the backlog grew to 15,000 pending applications, and onboarding delays were pushing customers to competitors.
Our Approach: We deployed a multi-stage document processing pipeline: intelligent classification of 23 accepted document types, OCR extraction with layout understanding, cross-referencing extracted data against application forms, and confidence-based routing to human reviewers for edge cases only.
Frequently Asked Questions
Virtually any document type — PDFs, scanned images, Word documents, emails, handwritten forms, and photographs of physical documents. We have specific models optimized for financial documents, legal contracts, medical records, and identity documents.
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