Unlock the value locked inside your PDFs

Whether you're processing government filings, insurance claims, or mixed-document bundles, our specialized AI model understands document structure the way humans do. Deploy on-premise with full data control, integrate via REST/gRPC APIs, and scale from prototype to production in under two weeks.

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Meet the PDF Intelligence Engine

Built on years of document processing expertise, the Intelligence Engine combines computer vision, natural language processing, and layout analysis into a single inference pipeline. The model runs entirely within your infrastructure—ensuring complete data sovereignty while delivering enterprise-grade performance.

Benefits for

Business process owners

High field‑level accuracy
4‑to‑8× faster turnaround
Immediate ROI dashboards

Benefits for

Data engineers

REST & gRPC APIs
Language‑agnostic SDKs
Docker/K8s deployment in <10 min

Benefits for

Engineering managers

Runs on a single GPU or CPU cluster
Horizontal scaling, auto‑healing
TCO up to 60 % lower than public‑cloud LLMs

Built for the most demanding environments

Our specialized AI model is trained specifically for PDF analysis and field detection. Unlike general-purpose LLMs that struggle with document structure, our engine is fine-tuned for hierarchical content extraction and layout analysis.

Named Entity Recognition for PDFs

Extracting valuable information hidden in scanned and mixed-layout PDFs with computer vision + OCR + NER. Runs 100% inside your environment for secure, high-accuracy, high-volume workflows, and exports clean data directly to your DMS/CRM/ERP.

Adapts to layout/format changes (scans, rotations, fonts) without template maintenance.
Visual PDF overlays show detected names with confidence scores for fast review.
Output via API/CSV/JSON; on-prem/VPC deployment keeps data private.

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Preserve Document Structures

Legal and government documents need hierarchical content extraction that maintains relationships and formatting. Essential for court systems and regulatory filing platforms.

Preserves document hierarchy: sections, subsections, tables with relationships
Outputs clean JSON/XML with confidence scores for each element
Staff verify only low-confidence elements, rest flows directly to systems
Ingestion time drops from minutes to seconds while improving data quality

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Auto-classify document types

Mixed document bundles need automatic boundary detection and category assignment. Critical for HR platforms, insurance processing, and financial services.

AI classifier detects document boundaries and assigns category labels automatically
Direct integration with existing filing rules eliminates manual intervention
Processing time per bundle shrinks while accuracy improves
Scales horizontally—handle 10x volume with same resource footprint

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Smart form field detection

Interactive form creation needs automatic field placement for signature blocks and input areas. Ideal for e-signature platforms and form automation tools.

Auto-detection identifies signature zones, date fields, text inputs in single pass
Users review and adjust AI suggestions instead of building from scratch
Confidence scores indicate when to auto-place vs. request user review
Setup time cut by 80%+, enabling complex multilingual form workflows

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Enterprise-ready deployment

Unlike research projects or cloud-only demos, the PDF Intelligence Engine is designed for enterprise deployment. From containerized microservices to language-agnostic APIs, every component reflects real-world infrastructure requirements.

On-premise deployment

Air-gapped installations supported. Model inference weights ship to your infrastructure—you control the entire processing pipeline from ingestion to output.