Sygno

Sygno, a Netherlands-based RegTech firm, provides advanced anti-money laundering (AML) and fraud detection solutions for the financial sector. Founded in 2013 by Sjoerd Slot and Dirk Mourik, the company operates from Leusden and specializes in enhancing transaction monitoring (TM) systems for banks and financial institutions. The firm has secured investments from entities including FIS, TIN Capital, and ROM Utrecht Region to advance its technology and market presence.

Sygno's core business revolves around its AI-driven platform, Sygno Analytics, which integrates with existing TM systems to improve their efficacy. The company serves financial institutions, such as banks and payment processors, that are looking to make their compliance processes more efficient and reliable. Instead of relying on traditional, rule-based detection, which often generates a high volume of false positives, Sygno employs automated machine learning. This technology models the normal, 'good' behavior of a client's customers to make anomalous, and potentially illicit, transactions stand out more clearly. This approach allows compliance analysts to focus their efforts on genuinely suspicious cases, thereby increasing operational efficiency.

The platform is system-agnostic, meaning it can be integrated into various TM environments, whether they are legacy systems or modern cloud-based architectures. Sygno's models are automatically generated and fully explainable, providing transparency for risk owners, compliance officers, and regulators. A key benefit is the significant reduction in false positives, which saves institutions time and resources. Furthermore, the technology uncovers suspicious transaction patterns that might otherwise go undetected, increasing the potential for discovering financial crime. By operating on the client's own systems, Sygno ensures that financial institutions retain full control over their data and decision-making processes.

Keywords: transaction monitoring, anti-money laundering, AML, fraud detection, RegTech, financial crime compliance, machine learning, AI, false positive reduction, anomaly detection, behavioral analysis, compliance automation, financial institutions, banking technology, risk management, explainable AI, regulatory technology, fraud prevention, payment processors, compliance software