Artificial Intelligence driving automation and optimisation in AML Compliance.We increase efficiency and effectiveness in specific domain and processes using advanced analytical techniques:►Trade Based AML: digitising the paper trail and automating manual checks on parties, counter-parties, ports & cities, vessels and ownerships, shippingroutes and goods against Sanctions & Embargoes and dual use goods lists; risk rating the trade and the vessels►Corporate KYC: automating the extraction of company information, directors and UBO’s from registers and documents, optimising company risk scorecards, data remediation, ID&V data extraction, entity resolution►Detection tuning and optimisation: model tuning, segmentation, above & below the line threshold testing, client and payments screening optimisation, 2nd filter►Investigation automisation: alert risk ranking, OSINT robotisation, data exploration, automated narrative generationComplidata positions itself at the crossroads between technology and advisory. It is built on the expertise and domain knowledge of senior AML professionals with hands-on regulatory, operational and technical experience on designing and managing a wide range of medium to large scale AML initiatives globally.

FinTech

Risk & Compliance

AI/ML

Information Technology

Complidata

Ben Arber

Alan Crispoux

Nguyen Hanh Nguyen

Bharat Ram Ammu

Thomas Capiau

Mathieu Cruts

Matthias Verbeke

Roderick Trekels

Lilia Tira

Alex Gray

Gary Collyer

The Engineering Team at Complidata focuses on developing and enhancing AI-driven tools that automate and optimize anti-money laundering (AML) compliance processes. This includes building software solutions for digitizing trade data, automating corporate KYC workflows, fine-tuning detection models, and streamlining investigation processes. By leveraging advanced analytical techniques, the team aims to improve efficiency and effectiveness in AML compliance efforts.

Engineering Team

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