
Add Semantic Intelligence to Cross-Lingual Organization Matching
Enrich existing Match scoring with locally deployed small language models that resolve semantic organization name equivalences, starting with Chinese-English pairs.
Showing 1-12 of 282 results

Enrich existing Match scoring with locally deployed small language models that resolve semantic organization name equivalences, starting with Chinese-English pairs.

Babel Street identity record resolution helps organizations create a cleaner, more trusted identity foundation by identifying likely duplicate identities and supporting the resolution of confirmed duplicates.

Improve precision and reduce unnecessary review across multilingual screening and identity risk workflows.

Configure how names, identifiers, addresses, and other identity data affect match scores — reducing false positives and aligning decisions with operational risk priorities.


A deep dive into how risk increasingly emerges in digital spaces before becoming a real-world threat.

Turn overwhelming data into actionable intelligence. Learn how organizations can filter noise, identify critical signals, and make timely, informed decisions.

How Babel Street Insights Investigator uses AI-powered investigation workflows to help teams uncover risks faster and produce mission-ready intelligence in seconds.

How analysts can uncover adversary activity earlier, enrich investigations with open-source intelligence, and accelerate threat detection through actionable insights from global data sources.

How organizations can transform data streams into actionable intelligence — enabling faster threat detection, improved risk mitigation, and better-informed decisions in an increasingly complex global environment.

One law. Many places. One responsibility.

Showing 277-282 of 282 results

How Diffeo used Babel Street entity extraction to accelerate document search for researchers.

How NYU used Babel Street Match to facilitate an international campus directory

ALIAS Technology's use of Babel Street for forensic linguistics

How CareerBuilder used Babel Street to enhance job search results

How Luminoso used Babel Street for sentiment analysis

How EMBERS project used Babel Street text analytics capabilities to build a predictive model for events in Latin America