Illicit TBML and Financial Fraud Signal Anomaly Detection

G2lytics leverages its vast knowledge of commodity signal anomalies using proven deterministic data analytics and machine learning capabilities. We deliver these advanced analytics through highly optimized techniques and data methodologies, some resulting from a two-year collaboration with the Trade Transparency Unit of Homeland Security Investigations. Every feature and function is purpose-built to enable rapid analysis, anomaly prioritization, reporting, and agency-wide case management.

With a commodity trade focus, we better unearth patterns and prioritize investigative actions that point to illicit trade, such as fentanyl distribution, trafficking activities, commodity movements, financial transactions, and illicit networks facilitating trade-based money laundering. The data is optimized and delivered while actionable, allowing stakeholders in government and financial institutions to identify and act on or report potential illicit activities with greater speed and accuracy. while maintaining strict compliance with regulatory requirements and ethical AI principles. We build past the obvious use case and create signal anomaly standards so international trading partnerships can effectively and efficiently leverage data harmonization and commodity intelligence on a global scale, the next step in the evolution of commodity signal anomaly detection.