Dime Community Bank Enhances Sanctions Screening with Quantifind

Jun 5, 2025
Dime Community Bank has selected Quantifind's AI-powered platform to improve its sanctions screening for payments, as announced in a press release.
Dime Community Bank Enhances Sanctions Screening with Quantifind

Dime Community Bank has chosen Quantifind's AI-powered risk intelligence platform to enhance its sanctions screening for payments, announced in a press release. This decision comes as Dime Community Bank seeks to address increasing regulatory scrutiny and the growing complexity of global transactions.

Quantifind's platform is designed to provide advanced capabilities in risk detection and integrates seamlessly into existing workflows. Michael Fegan, CTO of Dime Community Bank, highlighted that the partnership with Quantifind marks a significant advancement in their compliance capabilities, enabling the bank to maintain high standards of regulatory compliance while protecting its customers and communities.

Graham Bailey, COO of Quantifind, expressed pride in supporting mid-market banks like Dime Community Bank, emphasizing that Quantifind's solutions empower banks of all sizes to tackle financial crime with speed, accuracy, and scalability.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.