You don’t know the risks you can’t see
Organized criminals are using sophisticated techniques to cover their tracks—and they’re taking advantage of faster payments, capital markets and open banking.
Regulators are ramping up the pressure on detecting financial crime. And legacy systems are failing to make the right data available, at the right time.
What’s needed is a new approach to data that improves your ability to detect criminal behavior while reducing operational costs.
This is Contextual Decision Intelligence.
Our anti-money laundering solutions
Detect risk in the complexity of global trade. Reveal hidden relationships between importers and exporters. And identify previously unknown money laundering and fraud.
Prevent money launderers from taking advantage of capital markets. Use context to improve risk detection. And gain broader coverage by removing data and workstream silos.
Enhance the efficiency, effectiveness and consistency of your operational and complex investigations to empower your teams to expose and understand risk faster.
Correspondent Banking AML
Enhance your AML risk assessments for correspondent banks, gain a better understanding of potentially illicit transaction flows and reveal unknown risks.
Benefits of our anti-money laundering solutions
Accurately identify new AML risk using network-based typologies.
Adapt to emerging risks
Adjust models and interfaces instantly to quickly adapt to a changing world.
Reduce false positives
Decrease the time spent on manual data collection.
Identify previously missed connections
See the bigger picture around customers and companies.
Accelerate the escalation process.
Consistently create fewer but more relevant alerts.
Passed model risk governance with Tier 1 global banks.
Increase escalation rates
By accurately identifying risk.
Enhance money laundering detection with context
Reveal the hidden risks and criminal behaviors you can’t see today.
How to effectively tackle trade-based money laundering
Find out how an automated trade AML solution—using contextual monitoring—helps consistently and effectively detect money launderers and prevent financial crime.
Get the latest thinking, advice and opinons
Creating Value For The Enterprise Using Data
In this episode, Vishal Marria, CEO at Quantexa, speaks with the Chief Data Scientist at Dun & Bradstreet, on overcoming common data challenges, digital resilience, and creating enterprise value using in AI and data & analytics.
How Danske Bank Is Adopting Data and Analytics Technology
To maximize the value of data, enterprises need the right IT infrastructure in place. In this episode, Bo Svejstrup, CIO at Danske Bank discusses resolving legacy data challenges, improving collaboration between business and IT, and the future of cloud adoption.
How Allianz Is Transforming Using Tech
Quantexa speaks with Allianz CEO to discuss the challenges of adopting technology across the enterprise, the role of data in customer-centricity, and leading transformation in the insurance industry.
New Risk Factor Guidelines to Strengthen Financial Crime Detection
The updated European money laundering and terrorist financing risk factor guidelines highlight taking into account “wider, contextual factors.” Find out how contextual decision intelligence can ensure enhanced risk detection and due diligence measures.
Deloitte and Quantexa Partner to Tackle Global Illicit Finance and Economic Crime Risk
Deloitte will utilise Quantexa’s Contextual Decision Intelligence (CDI) platform to enable its clients to leverage technology and analytics as part of robust Economic Crime Governance and Risk Management Frameworks.
QuanCon 2021: Meaningful Data for Trusted Decisions
QuanCon 2021 Virtual explored compelling thought leadership from the Altimeter Group and Accenture, knockout presentations from State Street and ABN AMRO, and an in-depth show and tell on Quantexa’s new capabilities.
Book a demo
See how our Contextual Decision Intelligence platform reduces false positives, illuminates previously unknown criminal behavior, and cuts investigation time.