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Babel Street Match

Smarter Matching. Deeper Insights.

AI-powered identity matching that accurately links names, addresses, and dates across languages — reducing false positives and enabling fast, explainable decisions in high-risk environments.

Unlock the power of global name matching

Two-Pass AI Matching

Quickly shortlists Match candidates, then evaluates and scores the best matches

​​​Fewer​​ False Positives

Use Match scores to reduce manual checking of false positives and automate processes

Real-Time, Scalable

Get unlimited scalability with lightning-fast results, even over massive data sets

Cross-language Mastery

Screen across different scripts and languages with numerous linguistic, cultural, and contextual factors

​​​More Than​​ Names

Use all available identifying data to compare names, addresses, and dates

Explainable and Tunable

Configure Match parameters with explanation of how Match calculates scores

Learn More About Identity Risk Intelligence Solutions

Product Features

Purpose-built for matching

Core matching capabilities

  • Multi-field matching — Go beyond names to analyze and match addresses, dates, and organizational identifiers.
  • Language mastery — Leverage Match’s proven cross-lingual and cross-script expertise to match data in more than 24 languages and scripts, including Arabic, Chinese, Japanese, Korean, Russian, Spanish, and Urdu.
  • Transliteration and variant handling — Match manages transliteration, spelling variations, and cultural nuances for highly accurate matching.
  • Contextual and semantic intelligence — Incorporate contextual cues, including temporal data, to improve match precision and reduce false positives.


How much can you save with smarter screening?

If you’re ready to reduce risk, improve compliance, and boost productivity, view your potential cost and productivity savings with the Match ROI Calculator.

Ready to Buy?

Get Babel Street Match Plugins for Amazon OpenSearch and Elasticsearch through the AWS Marketplace.

How will you use Babel Street Match?

Frequently Asked Questions