Inscribe
Specialized AI models trained specifically on financial documents
Last updated May 10, 2026
- Industry
- Fintech - Fraud Detection & Risk Management
- Business Model
- B2B SaaS
- Target Market
- Financial services institutions including digital lenders, banks, credit unions, fintechs, and alternative lending platforms requiring automated document verification and fraud detection
- Employee Count
- 51-200
- Funding
- series-b
- API Available
Inscribe operates in the rapidly growing fraud detection and document verification market, positioning itself as a specialized solution for financial services. The company differentiates through its focus on document-level fraud detection using advanced AI, rather than broader identity verification or transaction monitoring. With increasing digital lending volumes and sophisticated fraud techniques, Inscribe addresses a critical pain point for lenders seeking to balance fraud prevention with customer experience.
Inscribe is an AI-powered fraud detection and risk assessment platform that specializes in document verification and analysis for financial services companies. The company leverages advanced machine learning and computer vision technology to automatically detect fraudulent documents, manipulated images, and forged financial statements in real-time. Inscribe's platform helps lenders, fintechs, and financial institutions streamline their underwriting processes while reducing fraud losses and improving approval rates for legitimate customers. Founded to address the growing challenge of document fraud in digital lending, Inscribe processes millions of documents including bank statements, pay stubs, tax returns, and identity documents. The platform's AI models are trained on extensive datasets to identify sophisticated fraud patterns that traditional manual review processes often miss. By automating document verification, Inscribe enables financial institutions to make faster, more accurate lending decisions while maintaining compliance with regulatory requirements and reducing operational costs associated with manual document review.
Document Fraud Detection
AI-powered analysis to detect forged, manipulated, or synthetic documents including bank statements, pay stubs, and tax forms
Bank Statement Analysis
Automated extraction and verification of financial data from bank statements with fraud detection capabilities
Income Verification
Automated verification of income documents including pay stubs and employment letters to validate borrower income claims
Identity Document Verification
Verification of government-issued IDs, passports, and driver's licenses to detect forgeries and tampering
Risk Scoring
Comprehensive risk assessment scoring based on document analysis and fraud indicators
API Integration
RESTful API for seamless integration into existing lending workflows and underwriting systems
Dashboard & Reporting
Real-time analytics dashboard providing insights into fraud trends, document processing metrics, and risk indicators
Manual Review Tools
Interface for human reviewers to investigate flagged documents and make final decisions on edge cases