Flagright, an AI-native anti-money laundering (AML) compliance and risk management platform, has announced UK based B4B Payments as its latest client.
B4B Payments is a global financial services technology company offering an advanced transaction payments platform and APIs.
Their services include embedded finances, payment accounts & FX, rapid payouts, physical and virtual card issuing, and BIN sponsorship.
B4B Payments has over 19 years of experience in payments. It is authorised as an e-money institution by the UK’s Financial Conduct Authority (FCA) and the Bank of Lithuania and is a Mastercard® Principal Member.
With Flagright’s AI-powered AML and fraud detection services, B4B Payments can improve its transaction security in real-time, reduce false positives, and streamline alert investigations, thereby enhancing the efficiency of its payment solutions.
Tom Jennings, CEO of B4B Payments, stated,

“By integrating Flagright’s AI-native compliance platform, we have improved our fraud detection and AML monitoring capabilities, helping us identify and mitigate risks proactively and ensure a safe environment for our customers while maintaining high compliance standards.”
Flagright’s no-code platform employs large language models (LLMs) and advanced algorithms to offer real-time transaction monitoring, case management, risk scoring, and AML screening.
This dramatically reduces false positives and accelerates alert investigations. With an integration period averaging just two weeks, Flagright helps companies like B4B Payments implement robust risk management measures to stay ahead of regulatory changes.
Baran Ozkan, Co-founder and CEO of Flagright, said,

“We’re excited to welcome B4B Payments to the Flagright family. Their focus on providing innovative, global prepaid card solutions aligns with our mission to enhance financial crime compliance and deliver secure, seamless payment experiences.”
Headquartered in Singapore, the platform helps financial institutions deploy AI-driven compliance solutions rapidly and effectively.
Featured image credit: edited from freepik