Explainable & Auditable
Unlike other AML solutions, Sensemaker® provides transparent and explainable results and is regulator friendly.
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Leading financial institutions trust Quantiply
“Quantiply has totally changed the way we are dealing with our compliance business processes and applications. Quantiply helped us proactively identify and pinpoint the root cause of the issue. Together we created the notion of 3-clicks, 3-minutes to problem prediction and resolution.” VP Operations, Large U.S. Bank
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Sensemaker AI for Anti Money Laundering
Unlike traditional rules based systems, Sensemaker learns and adapts based on individual transactions and behaviors between specific entities and their subsequent relationships, lowering false positives by 50%.
Sense
Rapid onboarding of data allows financial institutions and businesses to quickly analyze and capture critical information before any damage is done. Quantiply’s Cognitive Intelligence Machine enables financial institutions to quickly sift through all transactions and sense suspicious activity in real time.
READ MORELearn
Know Your Customer in extensive detail through Quantiply’s patented Enterprise Genome® and predict key measures, performance indicators, risk indicators, and outcomes. Reduce the burden on analysts and executives by providing them with accurate insights into their data, reducing false positives and negatives, and minimizing time spent.
READ MOREPredict and Act
Through Sensemaker, a self-service cognitive application, financial institutions can quickly share their findings, analyze their data streams, train the Enterprise Genome through feedback to constantly increase accuracy over time, generate digital narratives, file Suspicious Activity Reports (SARs) and compliance reports, and much more. Combat money laundering, fraud, and compliance risks by incorporating Quantiply’s machine learning and AI solutions.
READ MORECase Study: A Tier 2 U.S. Bank Deploys Quantiply
A labor-intensive compliance model had grown costly, outdated and unable to scale withbank growth and regulator mandates leading to a decision to modernize bank systems inorder to enable real time compliance.
Download Case StudyRecent Blog Posts
Featured
November 5, 2018
Leveraging AI and Machine Learning to Fight Financial Crime
(from our friends at SAP originally published here)
Money laundering schemes were originally created by organized crime to “clean” money made during U.S. Prohibition in the 1930s. Law enforcement caught on and laws were passed to curb the illegal activity. But today technology has made the criminals more emboldened, more creative — and more successful.
Read MoreFinancial
October 3, 2018
Taylorism to Consumerism: Decoding the Enterprise Digital Genome
The business landscape has changed drastically over the past decade. Increased competition and digital transformation have changed the way businesses must operate.Read More
Insider
September 28, 2018
The C-Suite Gets an Upgrade
The era of digital transformation is all about shaking off outdated, inefficient ways of doing business. So why, in all our enthusiasm for data-driven team efforts, are we still in thrall to the decades-old mystique of the CEO?
Read MoreFighting Financial Crime with AI
Mitigate risk against damage to reputation, client trust, market share, and reduce false positives by more than 50%
