Ripjar presents a next-generation financial crime capability that uses machine learning to automatically identify client risk across all data sources in real-time.
A solution that gives financial crime analysts working in KYC, AML and adverse news screening the capability to scale their approach, using artificial intelligence to identify risks across the modern information landscape.
Data is often siloed, fragmented and difficult to fuse between internal and external data sources.
Screening large amounts of clients requires more resources than ever before. Analysts simply don’t scale.
Millions of news articles and data items flood investigators every day. Compliance needs to keep pace.
Ripjar technology can screen millions of clients, illuminating in real time KYC/AML risks across all unstructured news data, sanctions lists, PEPs and transaction alerts.
Our unique artificial intelligence continuously monitors all data sources, systematically joining the dots to generate detailed and accurate alerts - scaling compliance and reducing costs.
A seamless, human-centric view of all potential threats allows the detection of complex fraud, money laundering, and other financial crimes across disparate data sources using automated analytics.
Streamlining financial crime workflows and analytics into a simple but powerful platform, Ripjar reduces manual effort and increases efficiency.
Integrating with any structured or unstructured data source, our client screening solution gives investigators the ability to perform due diligence and follow the trail wherever it may lead.
Reduce manual effort with configurable search precision, ad-hoc screening, batch processing as well as real-time screening - all amplified by client attributes, contextual information and observed relationships.
Directly integrating Ripjar’s leading entity resolution and financial crime analytics into your workflow, our risk data is all available via RESTful API. Powered by our Knowledge Graph technology, Risk Profiles are generated in real time from thousands of data sources, resolved accurately into entities such as people, organisations, vessels and aircraft. Risk scoring is automatically applied by our advanced analytics to deliver unprecedented capabilities to your existing platforms and client screening processes.
Find out more about our Knowledge Graph API
Going beyond simple name matching, our technology resolves real world identities over dozens of languages and scripts using Ripjar's breakthrough Natural Language Processing (NLP) technology.
Linking client identity and observed attributes such as age, gender, nationality and other biographical details, Ripjar reduces false positives when matching against client records.
Unlike other solutions, our advanced client identification and risk scoring occurs entirely within your data centre, meaning client names and other confidential data are never transmitted outside of your security perimeter.
Integrating with enterprise access control technologies, our platform supports end-to-end auditing and management information for teams to ensure they are fully compliant with the emerging regulatory landscape.