Unstructured to structured,
automatically
Turn documents into data your systems can use. No more copy-paste. No more data entry errors. AI-powered extraction at scale.
Beyond manual data entry
Your data is trapped in documents. Getting it out costs time, money, and accuracy.
Data locked in documents
Valuable information buried in PDFs, scans, and forms. Your systems can't use it until someone manually enters it.
Hours of manual entry
Skilled staff spending time on repetitive data entry. High cost, low value, prone to errors.
Data quality issues
Typos, transpositions, and missed fields. Errors compound through your systems. Cleanup is expensive.
Inconsistent formats
Every vendor, every form, every document type is different. Handling variations manually doesn't scale.
What we build
AI-powered extraction pipelines that turn documents into clean, structured data.
Intelligent Field Extraction
AI that understands document structure and context, not just text positions. Extract names, dates, amounts, addresses, and custom fields from any document format—even when layouts vary.
- Context-aware extraction
- Handles layout variations
- Custom field definitions
- Multi-language support
Table & Form Extraction
Extract structured data from tables, forms, and complex layouts. Handle multi-page tables, merged cells, and nested structures automatically.
Validation & Normalization
Clean and validate extracted data automatically. Standardize formats, check against reference data, and flag anomalies before they enter your systems.
API & System Integration
Extracted data flows directly to your systems via API. JSON, XML, CSV—whatever format your systems need. Real-time or batch processing.
Confidence Scoring & Human Review
Every extraction includes a confidence score. Low-confidence results route automatically to human review. Your team validates only what needs validation, while high-confidence extractions flow straight through. The system learns from corrections and improves over time.
Data we extract
Structured output from unstructured documents.
Entity Extraction
- Names & contacts
- Companies & organizations
- Dates & times
- Addresses & locations
Financial Data
- Invoice line items
- Amounts & currencies
- Account numbers
- Tax calculations
Document Metadata
- Document type & date
- Reference numbers
- Parties & signatories
- Version information
Custom Fields
- Industry-specific data
- Policy numbers
- Claim details
- Any field you define
How it works
A typical data extraction engagement follows this path.
Schema Definition
We define exactly what data you need extracted. Field names, types, validation rules, and output formats—all documented and approved.
Model Training
We train extraction models on your actual documents. The more variations we see, the more robust the extraction becomes.
Pipeline Build
Build the complete extraction pipeline—input handling, extraction, validation, normalization, and output delivery.
Deploy & Improve
Production deployment with monitoring. The system improves continuously as it processes more documents and learns from corrections.
Results you can measure
Data extraction automation delivers immediate, measurable ROI.