Snappt is an AI-powered fraud detection and verification platform designed to assist property managers in identifying and mitigating fraudulent rental applications. By analyzing financial documents such as bank statements and pay stubs, Snappt ensures the authenticity of applicant information, thereby reducing the risk of bad debt and evictions. The platform integrates seamlessly with leading property management systems, offering a streamlined and efficient experience for both leasing teams and applicants. With a 99.8% accuracy rate in detecting fraudulent documents, Snappt empowers property managers to make informed leasing decisions, protect their communities, and maintain financial stability. Key Features and Functionality: - Document Fraud Detection: Utilizes advanced AI technology to analyze thousands of metadata elements within financial documents, identifying even the slightest alterations to confirm authenticity. - Income Verification: Verifies applicant income from both traditional and non-traditional sources, including real-time validation through connected payroll systems. - Identity Verification: Employs best-in-class biometric technology and over 30 checks on an ID to confirm that applicants are who they claim to be. - Fraud Forensics: Features a dedicated team that researches emerging fraud trends, monitors existing threats, and develops solutions to enhance fraud detection technology and processes. Primary Value and Problem Solved: Snappt addresses the critical issue of application fraud in the property management industry, where fraudulent applications can lead to significant financial losses and operational challenges. By providing a comprehensive solution that detects document fraud, verifies income, and confirms identity, Snappt enables property managers to confidently approve qualified residents, protect their communities from fraud, and secure long-term investments. This proactive approach not only reduces the incidence of evictions and bad debt but also streamlines the leasing process, enhancing overall operational efficiency.