ThetaRay unveils Ray AI suite for AML investigations

ThetaRay has launched Ray, an AI investigation suite for anti-money laundering that it says can standardise case handling and produce audit-ready documentation while keeping analysts in control.

The company positioned the product in response to rising expectations from regulators and increased operational pressure on financial crime compliance teams. ThetaRay said investigation teams face growing alert volumes alongside demands for clearer documentation and more defensible outcomes.

Regulatory backdrop

Regulators in major markets have raised expectations for investigative quality, record-keeping and consistency, according to ThetaRay. The company pointed to the European Union's Anti-Money Laundering Regulation and the broader AML Authority framework. It also cited the United States Financial Crimes Enforcement Network priorities for anti-money laundering and counter-financing of terrorism.

ThetaRay said these shifts increase scrutiny of how institutions investigate alerts and write up conclusions. It also noted that many teams still rely on manual steps for data collection and drafting case narratives.

Product scope

Ray sits inside the ThetaRay Investigation Centre. ThetaRay said the suite extends the use of cognitive AI from transaction monitoring and detection to investigations.

The company said Ray can automate parts of the evidence collection and analysis process. It listed behavioural and counterparty analysis, open-source checks, document review and narrative generation. ThetaRay said Ray can also handle data aggregation, geolocation validation, pattern analysis, counterparty evaluation, and adverse media scanning.

ThetaRay said Ray prepares a structured case file for audits. It said the suite keeps a human analyst in control of review and escalation.

The product includes an on-demand AI assistant inside the Investigation Centre, according to ThetaRay. It said the assistant can answer analyst questions, validate assumptions, run additional checks and summarise documents.

ThetaRay said Ray can generate charts and graphs for attachment to the case file as supporting evidence. It did not provide details on how institutions configure evidence sources or how the system handles data retention policies across jurisdictions.

Operational claims

ThetaRay said the suite targets banks, fintechs and payments platforms that manage high alert volumes with lean compliance teams. It stated that Ray can reduce manual investigation time by up to 70%.

The company also said Ray aims to improve consistency across teams and jurisdictions. It described the tool as a way to reduce variation in how analysts document and justify decisions.

"For years the industry tried to modernise investigations with faster detection engines or better interfaces. But the real bottleneck has always been the investigation itself. Ray is one of the first Agentic AI suites built to take that burden on to enable analysts to do their best work," said Moshe Siman-Tov, Chief Operating Officer, ThetaRay.

"Banks and fintechs have incredibly capable investigators; what they lack is capacity. Ray restores that capacity. It becomes a partner that handles the complexity so analysts can stay focused on judgment," said Siman-Tov.

ThetaRay also framed Ray as a response to the need for more consistent reasoning and clearer traceability of decisions back to evidence.

"Manual investigations inevitably vary from analyst to analyst. Ray introduces a consistent reasoning framework across the entire operation, reducing subjectivity, and ensuring that each case, no matter who handles it, stands up to scrutiny," said David Shapiro, Regulatory Affairs Manager, ThetaRay.

"Most importantly, Ray was built so that every decision is traceable back to evidence. In a regulatory environment that demands transparency, AI explainability is the foundation," said Shapiro.

Microsoft stack

ThetaRay said Ray runs on Microsoft Azure. It said the deployment integrates Azure OpenAI Service and Azure Kubernetes Service.

The company described the architecture as focused on security, scale and governance. It also linked the approach to the move from pilots into production use in compliance settings.

"Financial institutions are moving beyond experimentation toward real, production-grade use of Agentic AI in compliance-critical environments," said Tyler Pichach, Global Head of AI Strategy and GTM for Payments and Banking, Microsoft.

"Platforms like Ray demonstrate how Agentic AI, when deployed on a secure and governed cloud like Microsoft Azure, can help banks modernise complex investigation workflows while meeting regulatory expectations for transparency, control, and trust," said Pichach.

ThetaRay said Ray is available immediately within the ThetaRay Investigation Centre.

"This is an incredibly important moment for us and for the industry," said Brad Levy, CEO, ThetaRay. "I couldn't be more energized by the opportunity to tackle one of the biggest challenges in financial crime compliance. Our mission is simple: to help make global markets more modern and secure for all. The future will be shaped by people who care and by megatechs and specialized fintechs working closely together to raise the bar for transparency, accountability, and lasting trust."