Babel Street Financial Services Compliance

Know Your Customers to Mitigate Risk

Financial institutions — and the FinTechs that serve them — are required to perform increasingly stringent customer due diligence and risk mitigation to prevent financial crime. Babel Street offers AI-driven solutions for name screening, adverse media monitoring, and know your customer (KYC)/know your vendor (KYV) due diligence.

Simplify financial compliance by minimizing risk

Fewer False Positives

Minimize false alarms and increase productivity by adding automation to screening and remediation processes

Multilingual Watchlist Screening

Match names across different scripts and languages, accounting for numerous linguistic and contextual factors — without compromising performance

Customized and Understandable Results

Tailor how you match data fields to conform with policies and requirements, and understand match decisions with explainable AI

Rapid Ownership Tracing

Process news sources, corporate filings, and public records for ultimate beneficial ownership (UBO) investigations using AI-driven entity extraction from multilingual text

Unmatched Access to Data

Put publicly available information to work for adverse media screening, identification of politically exposed persons, and ongoing KYC due diligence

Automated Compliance Processes

Conduct more thorough anti-money laundering and sanctions screening during onboarding and for ongoing compliance

Explore financial compliance use cases

Match names to watchlists

Rapidly conduct watchlist and sanctions screening by leveraging AI-driven technology and expansive, multilingual data sources. This scalable approach ensures comprehensive monitoring and compliance, enabling financial institutions to efficiently identify and mitigate potential risks across vast datasets.

Learn more about name matching

UBO, adverse media, and PEP screening

Babel Street helps make connections between people and organizations to understand the complex relationships that underlie money laundering operations. This ability coupled with our expansive data sources for adverse media and politically exposed persons (PEP) screening puts powerful tools in the hands of financial institutions to obtain a complete picture of potential customers.

Learn more about anti-money laundering solutions

See it in action

Use Case

Using Babel Street Solutions to Streamline KYC/KYV Processes

Case Study

DOKS: Babel Street Analytics Enables Fintech to Reduce False Positives by 75% for KYC/AML

Case Study

Nomura Research Institute: Babel Street Match Supports Regional Financial Institutions with Increased AML/CFT Effectiveness

Case Study

The AI That Powers LSEG World-Check® One

Explore solution components

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