Enterprise Document Intelligence
Turn complex documents into reliable, AI-ready data.
A high-performance document intelligence pipeline that transforms complex PDFs, contracts, spreadsheets, Word documents and scanned images into structured Markdown and JSON for AI, RAG, search and business automation. Designed for organisations that need accurate document processing, high-volume throughput and control over where sensitive documents are processed.
Throughput
~8 pages / second
Measured on an 854-page CUAD document workload
Clause Recall
99.49%
Measured on the CUAD sample benchmark
Character Error Rate
0.52%
Measured on the CUAD sample benchmark
Word Error Rate
1.25%
Measured on the CUAD sample benchmark
Output
Markdown + JSON
Structured output for AI, RAG and automation
The Problem
Enterprise AI applications are only as reliable as the documents they receive. Complex layouts, multi-column pages, tables, scans and inconsistent extraction can turn valuable business documents into poor-quality AI input. At higher volumes, per-page document processing APIs can also become a significant operating cost, while sensitive legal, financial and commercial documents may require greater control over where data is processed.
How It Works
The pipeline combines deterministic document layout analysis with vision-language extraction and post-processing guardrails. Documents are first analysed for structure, including columns, tables, figures, headers and footnotes. Vision models then extract content while preserving reading order and document structure, followed by validation and post-processing before producing clean Markdown and structured JSON. The asynchronous architecture is designed for concurrent workloads and can be deployed in a private cloud environment.
Capabilities
- Complex PDF and document extraction
- Multi-column reading-order reconstruction
- Table and structured-content extraction
- Scanned document and image OCR
- Markdown and JSON output
- Document layout and structure detection
- Extraction validation and post-processing
- Asynchronous high-volume processing
- API and webhook integration
- Private cloud deployment
- AI and RAG-ready document output
- Operational throughput and processing visibility
Deployment & Integration
- Hosted document processing API
- Private deployment in Azure
- Private deployment in Google Cloud
- Dedicated enterprise processing environment
- Integration with existing AI and RAG applications
- API-based document processing
- Webhook-based asynchronous processing
Want this running on your own infrastructure?
Schedule a 25-minute technical discovery call with our Principal Architect.