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PaperEntry AI
VENDORS 4 min read

PaperEntry AI

Generative AI-powered document processing platform by Deep Cognition achieving 99% accuracy without templates or training, specializing in customs and logistics automation.

Overview

PaperEntry AI emerged from Deep Cognition's response to manual data entry challenges, positioning itself against traditional IDP vendors that require months of training data and document templates. The Dallas-based platform claims to process any document type from day one using proprietary generative AI models that understand documents contextually rather than through pattern recognition.

Unlike template-dependent competitors like ABBYY and Hyperscience, PaperEntry AI works out-of-the-box with any document format — PDFs, images, scanned documents, and emails — across any language including non-Latin scripts. The platform targets customs brokers, freight forwarders, and accounts payable departments where document variety defeats traditional OCR approaches.

Government Validation and Enterprise Credibility

Former IRS Commissioner Charles Rettig provided a notable endorsement after four years of government deployment: "Deep Cognition helped significantly reduce backlogs of document data entry using AI automation. They handled very large volumes with high accuracy, staying at the forefront of technology to meet the demanding needs of mission-critical government agencies."

The platform demonstrated measurable results in government deployments, with one agency achieving 75% time savings with 99% accuracy during criminal investigations, while another processed over 100,000 documents for a tax evasion investigation in under 6 weeks — representing 80% improvement in turnaround time. This government validation provides credibility in regulated industries where security and accuracy are paramount.

Hybrid AI Architecture

PaperEntry AI operates through four distinct levels combining AI extraction with human validation — server/dashboard for initial extraction, human validators for accuracy checking, document labeling, and continuous AI training. This hybrid approach differentiates it from pure AI solutions by maintaining human oversight for quality assurance while achieving 99.9% accuracy rates and 90% cost reduction.

The platform's generative AI models read and interpret content like human experts while processing at machine speed, eliminating the traditional IDP workflow of template creation, model training, and document labeling that can extend deployments for months. In-context learning continuously improves accuracy through intelligent pattern recognition without requiring additional training data or configuration changes.

Key Capabilities

Universal Document Support

The platform processes any document format without pre-configuration, handling multi-page, unstructured, and variable-format documents that challenge traditional OCR systems. Automatic document splitting separates multi-document PDFs based on intelligent boundary detection, supporting thousands of pages daily without performance degradation.

Multilingual Processing

Advanced multilingual line and table extraction automatically processes documents in any language with built-in translation and normalization capabilities. This positions PaperEntry AI for global logistics operations where documents arrive in multiple languages, including non-Latin scripts without additional configuration.

Business Logic Integration

Custom validation rules, cross-field checks, and approval workflows ensure data quality while intelligent flagging of low-confidence extractions triggers guided human review when needed. Complete audit logging provides data lineage tracking for regulated industries requiring compliance documentation.

Industry Solutions

Customs Automation

PaperEntry AI specializes in customs clearance document processing for freight forwarders and customs brokers, handling commercial invoices, packing lists, bills of lading, and certificates of origin with claimed 99% accuracy. The platform automates PGA documents and compliance forms that typically require manual review, competing directly with specialized solutions like KlearNow and iCustoms.

Accounts Payable

The AP automation solution streamlines invoice processing and accounts payable workflows, automatically extracting invoice data, matching to purchase orders, and routing for approval with intelligent validation rules. This positions it against horizontal players like UiPath and Automation Anywhere that require extensive configuration.

Performance Metrics

Savino Del Bene South Africa achieved dramatic efficiency gains processing 50,000 commercial invoices annually for 2,000+ suppliers. The implementation delivered 11x faster turnaround times, reducing processing from 40 hours to 2 minutes per customs entry, with estimated monthly cost savings exceeding $100,000 — demonstrating the platform's value in high-volume logistics operations.

The government deployment metrics show processing speeds 11X faster than traditional methods with 88% faster turnaround, 99% data accuracy, and 75% overall time savings over four years of production use, validating the platform's enterprise-scale capabilities.

Competitive Positioning

PaperEntry AI competes directly with template-based platforms like Rossum and Tungsten Automation by eliminating setup requirements entirely. The platform's customs specialization differentiates it from horizontal players like Microsoft Document AI and Google Document AI, which lack industry-specific validation rules and compliance frameworks required for international trade.

The value-based pricing model with no startup fees positions it against enterprise vendors that typically require significant upfront investment. However, the reliance on human validators may limit scalability compared to fully automated competitors like Mindee or Sensible.so, creating a trade-off between accuracy guarantees and operational efficiency.

Technical Specifications

Feature Specification
AI Architecture Proprietary generative AI models
Training Requirements Zero setup time, no training data needed
Document Formats PDFs, images (JPG, PNG), scanned documents, electronic files
Language Support Multilingual including non-Latin scripts
Processing Speed Thousands of pages per day without degradation
Accuracy Claims 99%+ extraction accuracy
Deployment Options Cloud SaaS, on-premises, hybrid configurations
Integration RESTful APIs, pre-built ERP/CRM connectors
Validation Custom business rules, human-in-the-loop workflows

Resources

Company Information

Dallas, Texas, USA
Parent Company: Deep Cognition
Founded: 2020