In today's interconnected world, accurate name matching is mission-critical. Whether preventing financial crime, enhancing security operations, ensuring regulatory compliance, or streamlining investigations, the ability to accurately identify individuals and organizations across languages and cultures is paramount. Babel Street Match Plugin for OpenSearch offers an AI-powered solution to this complex challenge, enabling commercial and government organizations to screen people, businesses, locations, and dates in 24+ languages and scripts with unprecedented precision.

Match tackles the complexities of global name variations head-on, considering 15+ factors such as nicknames, aliases, transliterations, misspellings, and cultural differences. This approach dramatically reduces false positives, increasing efficiency and accuracy across a multitude of vital applications:

Financial Crimes Prevention: Strengthen AML/KYC compliance, transaction screening, and fraud detection.

Regulatory Compliance: Adhere to regulations around sanctions lists screenings and others that require accurate identification.

Enhanced Security Operations: Identify potential threats at checkpoints and when screening against watchlists.

Law Enforcement Investigations: Accelerate investigations and intelligence gathering with reliable name matching.

By overcoming data quality challenges and technological limitations, Match goes beyond traditional name-matching systems, leveraging advanced AI algorithms to deliver explainable match scores and tunable accuracy. Seamlessly integrate with OpenSearch, scale to massive datasets with real-time performance, and enjoy flexible deployment options.

KEY FEATURES & BENEFITS:

OpenSearch Integration: Leverage the power and flexibility of OpenSearch for efficient storage, retrieval, and analysis of name data.

24+ Languages & Scripts: Accurately match names in Arabic, Chinese, Japanese, Korean, Russian, Spanish, Urdu, and more.

15+ Name Variation Considerations: Accounts for cross-lingual matches, phonetic similarity, nicknames, misspellings, transliterations, initials, and more.

Explainable Match Scores: Gain transparency into the reasoning behind match decisions for informed decision-making.

Tunable Accuracy: Fine-tune the system's behavior for optimal performance based on your specific data, use case, risk tolerance, and evolving needs.

Real-Time Response & Infinite Scalability: Experience lightning-fast results even with massive datasets, ensuring seamless integration with your workflows.

Dramatic Reduction in False Positives: Streamline operations, increase productivity, and reduce manual remediation efforts.

Babel Street Match Plugin for OpenSearch operates as an addition to OpenSearch from Amazon and OpenSearch.org and cannot operate independently or as a standalone application. The Match plugin extends OpenSearchs native searching capabilities by adding AI and machine learning-based algorithms for multi-lingual name matching. A deployment of OpenSearch is a prerequisite for using the Babel Street Match Plugin for OpenSearch.

To meet unique customer requirements, all purchases will be facilitated through a private offer on the Amazon Web Services Marketplace. To get started, please request a demo or private offer. You may also contact us for more information at marketplaces@babelstreet.com . Visit babelstreet.com to learn more.