Audience
Companies and enterprises looking for a rule-based and machine-learning based name matching and detection solution
About NetOwl NameMatcher
NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.
Other Popular Alternatives & Related Software
OpenDQ
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.
OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework:
Comprehensive Data Quality
Matching
Profiling
Data/Address Standardization
Master Data Management
Customer 360 View
Data Governance
Business Glossary
Meta Data Management
Learn more
Lead to Account Matcher
The Lead to Account Matcher (L2A) is a Salesforce application aimed at assisting teams that use an Account-Based Marketing (ABM) strategy, streamlining the process of relating leads and converting leads into existing accounts in your database. We offer this tool as a one-time fee; no subscription is required. If you have leads coming into your Salesforce org for companies that already exist as accounts, using our fuzzy logic matching, we can match to an account, even when the name is not entered exactly the same. When converting a lead to an account, our matcher also looks for matching leads that exist for the company and allows you to bring over all or none of them, with a click. Because our Lead to Account Matcher is built using custom settings, we give the ability to change matching thresholds, eliminate specific words from the matching algorithm, and change what fields are displayed on the matching layout. All are done through user configuration, no code is required.
Learn more
NetOwl EntityMatcher
NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc. NetOwl performs identity resolution based on any combination of available entity record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion. Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute. NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types.
Learn more
Match Data Pro
Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.
Learn more
Integrations
Company Information
NetOwl
Founded: 1996
United States
www.netowl.com/name-matching-software
Videos and Screen Captures
Other Useful Business Software
Turn traffic into pipeline and prospects into customers
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Product Details
Platforms Supported
Cloud
Training
Documentation
In Person
Support
Phone Support
Online
