Quantifind, a leader in AI-based financial crime intelligence, announced raising $22 million in funding from Deloitte Ventures and Stephens Group and existing investors, Citi Ventures, S&P Global, DNS Capital, and USVP, after growing by 200% last year.
This funding accelerates the global expansion of Quantifind’s AI-based solutions delivered through its flagship platform, Graphyte, and powers the launch of Quantifind’s Payments Risk Intelligence solution. And Quantifind’s advanced transaction screening for payments enables financial institutions to proactively detect and mitigate financial crime and sanctions risks while allowing the uninterrupted flow of legitimate payments.
Outdated systems often depend on rigid rules and static scenarios that usually fail to detect sophisticated financial crimes, and legacy sanction screening relies on simple fuzzy matching, generating excessive false positives. These inefficiencies cost resources, create bottlenecks, and allow critical threats to go unnoticed. But most systems lack contextual analysis of counterparty relationships, assessing transactions in isolation and missing key risk patterns. These inefficient screening and detection solutions impact revenue as good customers and valid transactions are either turned away or delayed.
Scalability limitations also compound the challenges, and traditional solutions struggle to handle increasing payment volumes, causing performance bottlenecks, rising costs, and operational inflexibility. And Quantifind’s Payments Risk Intelligence solution combines speed, scale, and accuracy and includes technological advancements to address the dynamic and high-stakes nature of transaction and name screening.
With the latest GPU-based AI transformer models, Graphyte extracts, matches, and alerts on the correct entity by maximizing signals from metadata and hidden features. And other solutions create arbitrary distinctions between name matching and entity resolution and suffer high false-positive rates.
Graphyte separates feature discovery from runtime decisions and at Tier-1 banks, Graphyte has proven the ability to screen tens of millions of entities in hours, with sub-100-ms API response times.
From monitoring against AI bias to detecting model drift, Graphyte’s machine learning operations (ML-Ops) are category-defining and provide transparency across the model process. And real-time monitoring and audit reporting keep managers informed and compliant.
KEY QUOTES:
“AI has become the weapon of choice for fraudulent and criminal actors within the financial services ecosystem. Our investment in Quantifind reflects our belief that Quantifind’s AI Graphyte technology tips the balance back in favor of bank compliance and law enforcement.”
- Ryan Morrow, Managing Director at Stephens Group
“Quantifind’s AI technology continues to redefine how financial institutions address the ever-evolving challenges of financial crime. By delivering unprecedented speed, accuracy, and scale, Quantifind empowers organizations to operate with confidence and precision in an industry that demands constant vigilance.”
- Vibhor Rastogi, Head of AI Investments at Citi Ventures
“Graphyte for payments transaction monitoring and screening represents the culmination of our commitment to delivering unmatched speed, accuracy, and scalability. By enhancing our Payments Risk Intelligence solution with real-time transaction screening, we empower institutions to meet modern compliance demands while staying ahead of sophisticated adversaries.”
- Ari Tuchman, CEO and co-founder of Quantifind
“Quantifind’s recent $22 million funding round reinforces the market need for true AI-native solutions in financial crime intelligence. Throughout our due diligence, Quantifind’s products stood out for their ability to leverage AI to deliver material efficiency improvements to their clients’ highly resource-intensive screening processes.”
- Jay Crone, Managing Director of Deloitte Ventures
