Sygno provides machine-learning solutions that help financial institutions improve transaction monitoring for anti-money laundering (AML) and fraud detection. Its Sygno Analytics platform uses automated machine learning to model normal customer behavior, helping organizations identify unusual activity while reducing false positives. Designed to work with existing transaction monitoring systems, the solution generates explainable, transparent models in the code language required by a client’s system, supporting implementation without complex migrations.

Sygno’s services include tailored model configuration, integration, and updates for banking and credit union environments. By combining business rules with anomaly detection, its approach aims to help analysts focus on higher-priority cases, strengthen risk coverage, and respond to emerging fraud patterns more quickly. The company says its models can also support regulatory transparency for risk owners, compliance officers, auditors, and regulators.

Sygno draws on leadership experience in risk, compliance, and transaction monitoring. Its website features AML and fraud case studies, resources on responsible AI and privacy, and consultation services for organizations seeking to optimize their monitoring processes.