Your institutions play a frontline role in stopping illicit crime. But you face the same regulatory pressures as the largest banks, only without the same resources. Meanwhile, financial crime risks are intensifying - money laundering, terrorist financing, organized crime, human trafficking and more.
Built in partnership with your industry peers, Quantexa Cloud AML strengthens AML/CTF programs so banks like yours can detect, investigate and manage financial crime risk with confidence.
Drive bank-wide transformation through a trusted, unified data foundation that streamlines collaborative and compliant financial crime decisions and reduces TCO.
Create a single, trusted view of customers and counterparties with AI-powered Entity Resolution, while scalable Graph Generation uncovers hidden relationships so teams assess risk in real-world context.
Cut investigation time and reduce false positives by eliminating manual data gathering, automating risk ratings and augmenting report generation and SAR filing.
Access proven, cutting edge technology that’s been designed with input from your industry peers, setting your requirements at the very heart of the product.
Connect disparate datasets to gain a holistic, contextual view
of your customers and their counterparties
Las empresas y los organismos públicos ya han utilizado nuestra plataforma para la inteligencia de decisiones para unificar más de 1 billón de registros de datos aislados (cifra que no para de aumentar).
Reduce time and cost of compliance by streamlining investigative processes.
Augment SAR and CTR submissions with smart workflows and integration with FinCEN.
Easily and securely share data with other financial institutions.
Strengthen collaboration, break down silos, and build a collective defense against financial crime.
Smarter detection cuts false positives by up to 75% putting focus on meaningful risk.
90% of investigation work stays in-platform, no system switching.
Reduce investigative effort by 50% or more.
Up to 40% of risks flagged by Quantexa were missed by legacy systems.