Search Smarter. Match Better.
Search applications are foundational to modern data workflows, providing robust, scalable platforms for indexing and retrieving large datasets. However, these systems often fall short when precise matching, specifically with names, is critical.
Babel Street Match was developed to address these gaps, offering a simple, AI-powered plug-in for Elastic's search capabilities. Using its patented two-pass system, Babel Street Match delivers:
- 90% reduction in false positives
- Support for 20+ languages and their native scripts
- Powerful AI-driven scoring for better precision and recall
With Match, government agencies can move beyond basic searches to achieve enterprise-level identity screening and risk mitigation with speed and accuracy.
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How the Babel Street Match Plug-in Works
The Elastic Search AI Platform serves as a unifying data layer that connects your disparate systems and data, allowing you to find what you need quickly, through a single query. Being able to ingest and process real-time data enables higher detection rates and fewer false positives. By using machine learning to enhance detection, you’re able to better identify anomalies or atypical patterns and behavior on a large scale.
Babel Street Match is implemented as a plug-in designed to work with your existing Elasticsearch environment to deliver faster and more accurate name search results. Its patented, two-pass system for intelligent name matching leverages AI and linguistic analysis to identify individuals and organizations even with:
- Misspellings, nicknames, aliases, titles: John Smith, Jon Smyth, Johnny Smith, Mr. John Smyth – Babel Street recognizes them all as the same individual.
- Variations across languages: Identify individuals and entities across 20+ languages and native scripts, including Arabic, Chinese, Japanese, and Russian.
- Complex organizational names: Match “PennyLuck Drugs” to “PennyLuck Pharmaceuticals” using semantic similarity.
Benefits of Adding the Babel Street Match Plug-in to Your Existing Elasticsearch Environment
- Unmatched Accuracy with Advanced Algorithms: Advanced name and data matching algorithms catch subtle discrepancies others miss, including multilingual and multi-cultural names.
- Automated Second-Pass Reviews: Babel Street Match can further automate the review process and reduce the burden of manual checks.
- Simplified Workflows: Leveraging Lucene, the underlying search library used in Elastic’s search capabilities, and clear confidence scores with ranking, users can eliminate the need for complex multi-field queries and say goodbye to sifting through unsorted results.
- Real-time Scalability: Users now can process hundreds of millions of records in real-time with seamless integration to their existing Elastic search environment.


Match is Now Available on Amazon Marketplace
Babel Street Match Plug-in for Elastic is now available directly through AWS Marketplace.
Increase Efficiency, Reduce Fraud, and Slash Costs with Smarter Screening
Babel Street Match delivers exceptional accuracy and increases efficiency across a variety of applications — from law enforcement to border security, counter-terrorism to eligibility applications and verification across multiple agencies. This AI-powered solution accurately matches the names of people, businesses, and locations, reduces manual review, and helps government agencies focus on critical cases that strengthen national security and economic trust.
Calculate your potential cost and productivity savings and discover a smarter way to screen.
Real-World Success with Babel Street Match
U.S. Customs and Border Protection (CBP) provides security and facilitation operations at 328 ports of entry throughout the country. CBP takes a comprehensive approach to border management and control, combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity. CBP staffers are responsible for enforcing hundreds of U.S. laws and regulations. On a typical day, CBP processes approximately one million visitors.
By integrating Name Match technology into its screening system, CBP added greater name matching accuracy — and ultimately greater security — to its border protection efforts.


Ready to Supercharge Your Elastic Searches?
Let Babel Street Match be your partner in precision. Whether you’re looking to reduce errors, combat fraud, or simply streamline departmental workflows, our Match Plug-in can seamlessly fit into your Elastic infrastructure to enhance your results.