Highly accurate AI-powered, name matching technology that easily integrates into screening for financial compliance, onboarding and security systems via an Elasticsearch plugin. Users report up to 90% reduction of false positives.
Experience the accuracy of Babel Street Match across 25+ languages and 15+ name issues for people, organizations, and identifier fields such as locations, dates, and email addresses. Try our interactive web demo or download the free trial to use your own data.
KEY FEATURES
Integrate into existing screening systems via Elasticsearch or OpenSearch plugin.
Achieve accurate and cross-lingual matching, including complex Asian and Arabic scripts, and addressing issues such as transliteration, phonetic spelling variations, nicknames, acronyms, and more.
Understand Matches with consistent, explainable, auditable match scores, friendly to non-technical experts.
Infinitely scalable to respond in nanoseconds even against lists with hundreds of million names.
Benefit from AI and linguistic technologies that maximize speed and accuracy.
Optimize accuracy with flexible configurations to address messy and clean datasets, and tune match behavior through a no-code interface.
Intelligently match other identifiers: organization names, addresses, emails, dates, etc.
BENEFITS
Reduce false positives by up to 90% to increase efficiency and save labor
Integrates with your current systems
Scales across compliance, investigations, and onboarding workflows
Adaptable to future requirements with tunable match behavior
Calculate potential cost and time savings of using Match with our intuitive Savings Calculator
Who uses Babel Street Match:
Financial screening systems to strengthen AML/KYC compliance, customer onboarding, transaction screening, and fraud detection
Border security agencies to screen travelers against watchlists
Law enforcement to accelerate investigations and gather intelligence
Mission-critical identity matching applications for insurance applications, payee verification, and more
Purchase through a Private Offer on the Amazon Web Services (AWS) Marketplace based on number of queries per year. Additional features and scale will impact pricing. Please request a demo or Private Offer at marketplaces@babelstreet.com. Visit babelstreet.com to learn more.
Highlights
Out-of-the-box, 75% or more reduced false positives in 25+ languages and their scripts, delivering explainable and consistent match scores for transparency and auditability
Infinitely scalable and fast, leveraging Elasticsearch infrastructure
Tunable accuracy and access to full Babel Street Match configurations for Elasticsearch
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
To meet unique customer requirements, all purchases will be facilitated through a private offer on the Amazon Web Services Marketplace. Below are the starting costs for these different subscription durations. This software is priced along a query dimension. Additional features and scale will impact pricing. Taxes or fees may apply. This pricing level is based on 10,000,000 queries per year. Additional features and scale will impact pricing.
This listing has one pricing dimension: the Name Match Plugin for Elasticsearch, billed under a contract by query volume. The starting price reflects up to 10,000,000 queries per year. Pricing scales with your query volume, so higher usage raises the cost. Adding features or scale also affects the total. All purchases go through a private offer on AWS Marketplace, letting the vendor tailor terms to your requirements. Taxes or fees may apply. Because pricing is negotiated privately, your final cost depends on the query level and options you select.
Top-of-mind questions for buyers
What counts as one query for billing on this plugin?
A query is a single name-matching request run through the plugin against your Elasticsearch index. Each name you check for a potential match counts as one query. The starting price covers up to 10,000,000 queries per year, so your billed volume reflects how many matching requests you run.
What happens to my cost if I run more than 10,000,000 queries per year?
The starting price is set at the 10,000,000 query level. Running more queries raises your cost, since pricing scales with query volume. Because purchases go through a private offer, the vendor sets terms for your specific query level. Contact the vendor to confirm pricing above the base amount.
Besides query volume, what else can change my total price?
Adding features or increasing scale beyond the base query level affects your total. The plugin supports name matching across 25+ languages and scripts for people, businesses, and locations. Extra capabilities and higher scale are priced through the private offer, so your final cost depends on the options you select.
Request a private offer to receive a custom quote.
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All Babel Street subscriptions, and features or add-ons thereto, include virtual training and Customer Service Support from our award-winning Customer Experience Team. For Technical Support, please contact:
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Highly accurate AI-powered, name matching technology that easily integrates into screening for financial compliance, onboarding and security systems via an Amazon OpenSearch plugin. Users report up to 90% reduction of false positives.
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