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DeepDive Launches AI Platform to Enhance AML in iGaming

10th September – DeepDive today announced the launch of a revolutionary AI platform designed for Anti-Money Laundering (AML) compliance teams conducting Enhanced Due Diligence (EDD) and player investigations.

AML teams at gaming operators often face a difficult trade-off: carrying out thorough investigations that can take days or fast investigations that risk missing critical intelligence. Compounding the challenge, compliance officers must assess the source of funds for customers worldwide.

DeepDive addresses these issues by combining multi-language web search with global regulatory compliance data checks, extending the reach of EDD investigations. Teams can now analyze open-source data such as public records, corporate filings, court documents, news archives, social media profiles, and PEP, sanctions, and watchlist data to build more complete customer intelligence.

The platform uses a unique combination of search tools, natural language processing, entity resolution, and generative AI. This allows compliance teams to go further and deeper, accessing more sources in any language or alphabet. Instead of manually cross-referencing information, analysts receive structured EDD reports presented by timeline, alert type, or risk category. A built-in chatbot enables analysts to interrogate findings directly, helping them make better-informed risk decisions.

The DeepDive team includes industry veterans who have previously launched, scaled, and exited multiple fraud investigation and KYC platforms.

 “DeepDive addresses the pain points facing compliance teams such as time-intensive manual research, incomplete data, language barriers, false positives, and the challenge of processing vast amounts of information at scale,”

said David Pope, COO at DeepDive.

Following a successful six-month beta with MLROs and outsourced EDD providers, the platform has already proven its value. DeepDive has enabled compliance teams to generate deeper intelligence on high-risk customers worldwide in a fraction of the time. The AI-driven approach not only uncovers intelligence missed by manual methods but also frees up resources, allowing operators to extend EDD across a wider set of transactions.

DeepDive strengthens investigations by creating multiple search permutations across publicly available sources and compliance databases in relevant languages and search engines. Entity resolution reduces false positives, while generative AI produces structured intelligence reports complete with citations and audit trails.

The reports cover personal background, legal issues, financial integrity, compliance history, and key relationships. They reveal insights such as known associates, locations, company linkages, political connections, and potential criminal activity, all structured for immediate analysis.

MLROs and financial crime professionals can request a demonstration to see how DeepDive uncovers intelligence beyond traditional EDD methods at www.deep-dive.com

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Ingi Thor Arngrímsson
Ingi Thor Arngrímsson
Ingi is the Editor in Chief of iGamingToday.com, where he keeps a close eye on the stories, regulations and industry moves shaping the global iGaming sector. With a particular interest in gambling regulation, he’s always looking for the next story worth telling and the developments that deserve a closer look. Outside of iGaming, life is a mix of family time, growing his own vegetables and getting outdoors for a bit of hunting. Whether he’s tracking down a story or something in the wild, curiosity tends to keep him busy.

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