Our Advanced AI Technology

The revolutionary verification system that transforms invoice factoring from days to seconds

AI Verification System

Our proprietary multi-layered verification technology changes the factoring game forever

Invoice factoring has traditionally been a labor-intensive process, relying on manual review of documents and slow verification methods:

  • Days-long verification: Traditional factoring requires manual document review taking 2-5 business days.

  • Human error rate: Manual processes introduce inconsistencies and subjective judgment.

  • Limited fraud prevention: Traditional systems struggle to identify sophisticated fraud patterns.

  • Fixed pricing models: Risk assessment limitations force high, inflexible fees.

Our AI analyzes documents, geo-locations, work evidence, and historical patterns simultaneously.

What takes days with traditional factoring happens in under a minute with our technology.

Advanced pattern recognition identifies fraudulent submissions with 99.3% accuracy.

AI-generated confidence scores enable precise risk assessment and optimized pricing.

Average processing time from document upload to verification complete

vs. 2-5 days traditional

Information extraction precision compared to human review

vs. 92% human accuracy

Ability to identify fraudulent or manipulated documents

vs. 85% traditional methods

Maximum wait time from verification to funds in account

vs. 5-10 days traditional

Technical Architecture

Built for scale, security, and real-time processing

  • React/TypeScript SPA with mobile-responsive design
  • Progressive Web App capabilities
  • Native iOS/Android apps
  • Client-side encryption
  • RESTful API with GraphQL endpoints
  • JWT authentication + MFA
  • Rate limiting & throttling
  • Comprehensive API docs
  • Kubernetes microservices
  • Kafka message queue
  • Parallel verification streams
  • Async notification system
  • MongoDB document storage
  • PostgreSQL transactions
  • Redis caching
  • S3-compatible storage
Process Flow

How our system validates invoices in under 60 seconds

1

Multi-format support with auto-classification

PDF, JPG, PNG, DOCX
2
  • Parallel verification engines
  • Contextual understanding
  • Fraud pattern detection
3
Document Quality 25%
Geo-Verification 20%
Client History 15%
4
  • Automated API submissions
  • Dynamic fee structures
  • Risk profile generation
5
Funds deposited within 24 hours
SOC2 compliant transactions
Performance Metrics

Quantifiable results that redefine factoring efficiency

Classification and entity extraction precision

Average processing time per document

Decrease in manual review requirements

Maximum time to funds disbursement

Integrations

Seamless integration with your existing systems

  • OpenAPI 3.0 specification
  • Real-time webhook integration
  • Customizable notifications
  • Fully branded integration
  • Custom verification workflows
  • Dedicated support team
Roadmap

Our phased approach to revolutionizing invoice factoring

Completed
  • Basic document OCR & entity extraction
  • Initial verification algorithm
  • Prototype partner API
Current
  • Advanced computer vision
  • Geo-verification system
  • Mobile documentation app
2025-2026
  • ML model continuous improvement
  • Predictive risk analytics
  • Automated underwriting
Technology Layers

Our proprietary AI verification technology uses four integrated layers

  • Computer vision OCR optimized for construction invoices
  • Entity recognition for business names, amounts, dates, services
  • Document classification (invoices, work orders, completion certificates)
  • Tampering detection to identify altered documents
  • Location validation comparing work site coordinates with documentation
  • Timestamp verification ensuring photos were taken during expected timeframes
  • Device fingerprinting to validate consistent documentation sources
  • Weather data cross-referencing to validate outdoor work conditions
  • Semantic matching between work orders, invoices, and completion documents
  • Consistency verification across all submitted documentation
  • Historical pattern analysis comparing to previous submissions
  • Client signature validation with behavioral biometrics
  • Dynamic scoring algorithm weighing multiple verification factors
  • Client history analysis incorporating payment records
  • Industry-specific risk models for different blue-collar sectors
  • Confidence scoring that directly influences factoring fees