Inscribe.ai is an AI-powered document fraud detection platform designed specifically for financial services, including banks, fintechs, lenders, and credit unions. It helps organizations detect fake, altered, and AI-generated documents across underwriting, onboarding, KYC/KYB, and bank account verification workflows. By combining multiple detection methods—forensic analysis, network analysis, semantic analysis, perceptual analysis, public data checks, and custom signals—Inscribe catches inconsistencies that single-method approaches miss. This multi-layered approach reduces false positives while increasing fraud detection rates, enabling teams to catch fraudulent documents that manual review or other platforms overlook.
Key benefits include faster document review (seconds vs. hours), reduced manual review costs, improved onboarding speed, and consistent decision-making. Inscribe has prevented over $80 million in losses for its clients. The platform is purpose-built to stay ahead of AI-generated fraud, which is increasingly common in application pipelines. Use cases include verifying income documents, identity documents, bank statements, and financial health records. Technical details: Inscribe uses machine learning models trained on millions of documents, with real-time API integration for seamless workflow automation. It also provides a dashboard for review and audit trails. The platform is SOC 2 compliant and supports global document types. By automating fraud detection, Inscribe frees analysts to focus on complex cases, improving operational efficiency and reducing fraud losses.
banks, fintechs, lenders, credit unions, financial services, underwriting teams, KYC/KYB teams, fraud analysts