The cost of compliance is unsustainable
Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough.
False positives take up too much time
You have to hire large teams to wade through mountains of data and alerts, and deal with high volumes of false positives.
Your processes rely on manual workflows
Inefficient processes and legacy systems don’t provide the full picture. Which means your team can’t make fast, accurate decisions based on context.
You’re under growing pressure from regulators
You have to react quickly to increasing regulatory demands—which are constantly evolving.
Make better decisions faster
Contextual Decision Intelligence enables you augment highly accurate decision-making models with human expertise. So your operational staff can make better decisions faster, by uncovering hidden connections between data points.
It helps you govern your organization more effectively and prevent financial crime, while lowering the cost of compliance.
With 95% fewer false positives, you’ll have faster, more efficient investigations. And you can be confident you have the coverage you need, across your entire organization.
Take a closer look at Contextual Decision Intelligence.
Enhance compliance with
Contextual Decision Intelligence
while reducing costs
Enhance decision-making with accurate models and reduce the volume of false positives.
Let teams focus on high-value risks and opportunities—not data preparation.
Use techniques that make them non-biased and more explainable.
Use as much and
any data you need
Connect internal and external data in batch or real-time, scaling to billions of records.
An industry-first automated trade AML system
HSBC Global Trade and Receivables Finance (GTRF) business wanted to improve the effectiveness of its AML monitoring to better combat financial crime.
Quantexa’s contextual approach enables the bank to better identify suspicious patterns and potential criminal networks by combining customer and counterparty trade information, transactional data and external insights.
Our technology automatically screens more than 5.8 million trade finance transactions each year against over 50 different scenarios that indicate signs of money laundering. This is double the average number of checks against indicators at a transaction-level.
Revolutionizing financial crime with intelligence-led investigations
Standard Chartered Bank implemented Quantexa technology to conduct more effective and efficient thematic financial investigations.
The enhanced capabilities provided by the Contextual Decision Intelligence platform enables Standard Chartered Bank to gain a holistic view of investigations and risk across billions of data points from more than 40 countries.
By automating manual data gathering, the bank’s investigators can focus on finding true risk and ensure improved consistency throughout investigations.
Why use the Quantexa platform
Build once, use many, ingest to create a single view with networks
Apply your data to multiple use cases—without replicating data sets.
more accurate decisions
Use context to improve decision accuracy across the organization, find new opportunities and uncover risk.
Scale to billions of records
in batch or real time
Built on proven, scalable open source technologies like Hadoop, Spark and Elastic.
Future-proofed open architecture
Integrate seamlessly into your existing IT ecosystem, with flexible deployment options: native, or containerized for private and public cloud.
Ensure data transparency
Use explainable data linking, advanced AI and decision models for regulatory compliance.
Keep your data secure
Rely on granular security levels for dynamic control, with all activity audited.
Operationalize your data in a matter of months – not years.
Use entity resolution and data volume to overcome missing or poor quality data.
Get the latest thinking, advice and opinions
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.
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See how our Contextual Decision Intelligence platform lets you govern your organization more effectively—while lowering the cost of compliance.