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Elke Biechele, CEO
In anti-money laundering and compliance, the experts at RisikoTek underscore the importance of identifying and combating financial crime through complex datasets, such as trade data or transaction data. RisikoTek’s AMALIA has been specifically designed and developed to eliminate all the low-value work out of the investigation and glean the most profound insights seamlessly and quickly. Backed by an easy-to-use data analysis module, the company’s in-house Financial Threat detection platform is offered as a subscription service to build global company networks at a click of a button. AMALIA also eliminates the need to hire a dedicated data analysis team and can be operated by regular employees.
RisikoTek’s AMALIA has been specifically designed and developed to eliminate all the low-value work out of the investigation and glean the most profound insights seamlessly and quickly.
The uniqueness of AMALIA stems from the customization it offers for specific client needs. In order to help clients find the right solution for their organization, RisikoTek customizes AMALIA to meet diverse needs in corporates, financial services, law enforcement and government agencies, professional services, import/export, and public sector.
The Advanced Approach to Anti-Money Laundering
A typical investigation using AMALIA starts with the foremost step: Follow-the-Money. This phase involves consolidating on-ground investigation and Google search results, followed by relevant trade/transactional data. The focus is identifying the red flags and guiding clients in approaching law enforcement entities for legal action. At the core, as the newest deep-tech technology, AMALIA equips organizations with unmatched data ingestion, advanced data analytics, network analysis, typologies, entity resolution, and more. The platform’s data preparation module enables faster ingestion of structured and unstructured data from disparate sources. The advanced data analytics module comprises algorithms that focus on detecting known financial crime patterns and anomalies to identify criminal activities. The company’s global network allows discovering and analyzing non-obvious relationships across diverse entities, individuals, transactions, and behaviors. For addressing human trafficking or even complying to regulatory demands, AMALIA’s library of financial crime typologies can be used, whereby theory translated into algorithms for data sets is ready for use. On this network, investigators can also connect to entities and individuals for managing and integrating diverse data sources and formats.
