Sinpex is an AI-powered Know Your Business (KYB) platform that automates compliance, risk assessment, and due diligence processes for financial institutions, fintechs, and regulated businesses. By leveraging advanced machine learning and API-driven automation, Sinpex replaces manual, error-prone KYB procedures with a seamless, scalable solution, enhancing efficiency and accuracy in client onboarding and ongoing compliance.
Key Features and Functionality:
- Real-Time Data Extraction and Verification: Utilizes Optical Character Recognition (OCR) and Large Language Models (LLMs) to automatically retrieve and analyze information from official documents, reducing the need for human intervention.
- Multi-Layered Anti-Money Laundering (AML) Screening: Performs comprehensive AML checks, including sanctions list verification, Politically Exposed Persons (PEP) screening, and adverse media analysis, employing fuzzy matching and configurable risk scoring to minimize false positives.
- Dynamic Risk Classification Engine: Continuously monitors and updates KYB profiles, triggering automated re-KYC reviews based on real-time risk indicators.
- Role-Based Workflows and Audit Trails: Ensures full compliance transparency and regulatory reporting through structured workflows and detailed audit logs.
- API-First Architecture: Facilitates seamless integration into existing core banking, compliance, and risk management systems, enabling businesses to automate customer onboarding, improve risk detection, and reduce compliance costs.
Primary Value and User Solutions:
Sinpex addresses the challenges of manual KYB processes by providing an automated, efficient, and accurate compliance solution. It significantly reduces manual workloads, accelerates client onboarding, and ensures audit readiness, thereby helping organizations meet evolving regulatory requirements with confidence. By integrating Sinpex, businesses can minimize compliance-related errors, enhance operational efficiency, and focus on growth without compromising on regulatory standards.
