NetOwl EntityMatcher
NetOwl EntityMatcher excels in identity resolution by analyzing a wide array of entity attributes, including names, dates of birth, and social connections. Utilizing a proprietary indexing engine, it enables robust matching across multiple attributes while supporting multilingual contexts, ensuring high accuracy and scalability for mission-critical applications.
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Top NetOwl EntityMatcher Features
- Proprietary search and indexing engine
- Multi-attribute evidence combination
- Machine learning-based name matching
- Multilingual support for names
- Customizable matching rules
- Scalable identity resolution
- Real-time response capabilities
- Built-in name parsing technology
- Supports Docker and Kubernetes
- Application-specific business rules
- High accuracy identity resolution
- Integrates easily with REST API
- Reduces preliminary data cleansing
- Handles diverse entity types
- Fast processing for large datasets
- Supports additional languages
- Robust identity analytics capabilities
- Flexible parameter tuning options
- Social network information integration
- Award-winning name matching technology
