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ThetaRay Gamifies Financial Defense at Money20/20 Europe with a Compliance Twist on “Where’s Waldo”

By FF Newsroom · 2 June 2026

ThetaRay Gamifies Financial Defense at Money20/20 Europe with a Compliance Twist on “Where’s Waldo”

ThetaRay has launched "Spot The Money Mule," an interactive game at Money20/20 Europe designed to illustrate the difficulty of manual financial crime detection. For fintech professionals, this gamification marks a shift toward public-facing education and ecosystem-wide collaboration as regulators like the FCA and Europol flag the rising threat of money mule recruitment among younger demographics.

What was announced

ThetaRay unveiled "Spot The Money Mule" during Money20/20 Europe. The high-speed online game is described as a compliance-themed version of "Where’s Waldo," requiring players to identify a money mule within five distinct, high-activity scenes. These environments include an airport during the morning rush, a Dutch Tulip Festival, night markets, and transit hubs. The choice of settings is intentional, reflecting the digital and physical spaces where money-mule recruitment is most prevalent.

The initiative aims to demonstrate the limitations of human observation in spotting financial criminals who blend into everyday digital life. While the game uses "known" faces for players to find, ThetaRay uses the launch to highlight how its AI monitors behavioral baselines across millions of transactions to find patterns invisible to the naked eye. Beyond the game, the company is advocating for a joint effort from regulators, technology partners, and banks to address modern fraud and money laundering.

This coincides with a "MoneyLab" session titled "The Glass Box," where CEO Brad Levy and VP Garima Chaudhary demonstrate how agentic AI meets EU transparency mandates. Participants step into a live investigation to manage a money mule case study, using the Ray Platform’s traceability to replace black box logic with audit-ready case files. This session is specifically designed to show how traceable, human-in-control AI can be applied to high-risk systems.

"In the AI age, the most dangerous threats are those that blend perfectly into the speed of our digital lives,"

Garima Chaudhary, VP Financial Crime & Compliance AI at ThetaRay

The companies involved

ThetaRay is a provider of AI infrastructure specifically focused on financial crime compliance. The firm positions itself as a bridge between complex banking infrastructure and the evolving nature of global financial crime. Its primary offering is the Ray Platform, an investigative AI suite that integrates with existing legacy systems at financial institutions. The company’s client base ranges from tier-1 global banks to digital challenger banks, providing tools for transaction monitoring and anti-money laundering (AML) efforts.

ThetaRay emphasizes transparency and "human-in-control" AI, aligning with the requirements set by the new European Anti-Money Laundering Authority (AMLA) and other high-risk system mandates. By focusing on "traceable" AI, the firm seeks to replace "black box" logic—where decision-making processes are opaque—with clear, auditable trails for compliance officers. The firm is currently active in the European market, as evidenced by its presence at major industry events like Money20/20 and its focus on EU-specific regulatory frameworks. The company advocates for a unified defense involving technology and an informed public to create a more resilient financial system.

What this means

The gamification of compliance signals a growing recognition that financial crime is no longer just a back-office concern but a public-facing risk. As money mule recruitment targets younger, digitally native populations—sometimes as young as 12, according to recent warnings—the industry is under pressure to move beyond siloed monitoring. ThetaRay’s push for "glass box" AI reflects a broader market shift toward explainability; regulators are increasingly skeptical of opaque algorithms. The challenge for the sector now lies in whether these interactive tools can actually drive the "ecosystem mission" required to stay ahead of increasingly sophisticated, AI-driven fraud networks that exploit the speed of modern digital payments.

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