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Webull Taps Flagright For Real-Time Transaction Monitoring And AML Compliance

Webull

Flagright, an AI-native, no-code compliance platform, has been selected by Webull, the global online investment platform, to strengthen its anti-money laundering (AML) and transaction monitoring framework.

Through this partnership, Webull will deploy Flagright’s AI-driven monitoring, screening, risk scoring, and case management answers to enhance compliance efficiency and real-time oversight across payment, wallet, and trading flows. The collaboration reinforces Webull’s commitment to regulatory excellence as it expands into new financial services, including payments and treasury answers.

Takeaway

Webull’s adoption of Flagright’s AI-native compliance infrastructure underscores the growing trend of fintechs using automation to meet real-time AML requirements while scaling globally.

Real-Time Compliance Infrastructure For A Growing Platform

Webull’s decision to partner with Flagright comes as the company broadens its product ecosystem beyond brokerage into multi-asset finance, payments, and cash management. To support this expansion, Webull needed a scalable compliance architecture capable of managing transaction risks in real time.

Damarizz Medina, Chief Compliance Officer at Webull Pay, said:

“Protecting our users and meeting regulatory expectations are core priorities for Webull. Flagright gives us real-time visibility across our payment and trading flows, with unified case management and analytics that assist us move rapidly and stay audit ready.”

Flagright’s platform allows Webull’s compliance teams to monitor customer activity, screen counterparties, and score risks automatically, reducing manual reviews and enabling quicker, more accurate .

Takeaway

By deploying AI-driven monitoring, Webull gains the agility to detect and prevent financial crime across multiple products without adding operational complexity.

Flagright’s AI-Native, No-Code Advantage

Flagright’s no-code compliance to configure and deploy AML rules within minutes without heavy engineering dependencies. It integrates transaction monitoring, sanctions screening, customer risk scoring, and case management in a single interface, making compliance workflows quicker and more cohesive.

The system’s AI forensics capability enhances anomaly detection by analyzing behavioral patterns, assisting compliance teams identify and resolve emerging risks before they escalate. The answer is designed to adapt dynamically as financial products evolve, ensuring regulatory readiness across diverse business models and jurisdictions.

Madhu G Nadig, Co-founder and CTO of Flagright, said:

“Webull is building a comprehensive money platform, and we are excited to provide the compliance backbone for that growth. By unifying detection, screening, risk scoring, and investigations, Webull can scale with confidence.”

Takeaway

Flagright’s AI-native compliance tools let fintechs like Webull stay ahead of risk and regulation without the cost or delay of traditional compliance system builds.

Scaling Compliance With Webull’s Expansion

As Webull extends into new financial verticals, is becoming a critical component of its infrastructure. Stephen Yip, CEO of Webull Pay, said:

“As we , we need compliance infrastructure that scales with us. Flagright’s AI-native platform provides the monitoring, screening, and risk scoring capabilities we need without requiring a heavy engineering lift.”

Flagright’s system will allow Webull’s compliance operations to adapt rapidly to new regulatory frameworks, manage growing transaction volumes, and maintain transparent audit trails — a key diverseiator as global fintech competition intensifies.

Takeaway

Flagright’s flexible, no-code model gives fintechs like Webull the power to stay compliant as they scale across regions and products — a cornerstone of modern digital finance.

The Broader Trend: AI Driving Next-Gen Compliance

Flagright’s partnership with Webull illustrates a broader shift toward AI-driven, real-time compliance ecosystems in financial services. As regulators tighten global AML standards, firms are turning to technologies that can monitor transactions at scale while minimizing false positives and manual reviews.

By embedding machine learning and automated forensics directly into AML workflows, platforms like Flagright are redefining how compliance teams operate — from reactive oversight to proactive risk prevention.

Takeaway

AI-native compliance platforms are transforming AML from a into a strategic advantage — improving accuracy, speed, and scalability for fintech leaders.

 

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