QuantaVerse Reviews

Hawk AI combines AI and traditional rule-based approaches to monitor financial transactions. This ensures financial institutions are in compliance with anti-money laundering regulations. The solution includes classic rule-based models. These are enhanced with auto-closing features that are based on machine-learning models that learn from investigators' decisions through our case manager. Hawk AI uses Anomaly Detection as a machine learning model that is unsupervised. This allows Hawk AI to identify new patterns in crime using insights from the platform's overarching nature which spans multiple financial institutions. The platform gives full transparency to machine decisions in order to provide the necessary clarity for regulators who require "explainable" AI. It also instills trust in the machine's actions. Hawk AI uses Artificial Intelligence to maximize automation and delivers significant cost savings through a 70% reduction in the required resources.

AI, machine learning and intelligent automation can help you fight money laundering and terrorist financing. Keep up with emerging risks and changes in regulations. SAS®, which has been used by financial institutions to improve their model accuracy by more than 90%, reduce false positives up to 80%, and increase the SAR conversion rate by fourfold, has been used by financial institutions. With network and entity generation processes that automatically create network diagrams and reveal hidden relationships, you can quickly uncover complex money laundering and terrorist financing issues. Advanced analytics allows entity resolution by looking at multiple data sources, references to customers, and then accounting for inconsistencies and errors to determine if they relate to the exact entity. AML investigators can be empowered with an integrated, configurable and user-friendly case management system that allows for self-service.