NetOwl EntityMatcher offers fast, accurate, and scalable identity resolution. It is based on similarities in entity names as well as other key attributes such address, date of birth, birthplace, nationality, and address. Social network information, such as spouse, associate, employer, and so forth, can also be used to determine identity. NetOwl can resolve identity based on any combination or attributes of entity records. It uses its proprietary search engine and indexing engine to combine evidence from multiple matching attributes in an intuitive, robust, scalable and intuitive manner. You can implement application-specific business rules by determining which combination of record attributes should match and assigning weights to each attribute. NetOwl uses NetOwl NameMatcher (a machine learning-based multilingual, multilingual name matching product), to facilitate sophisticated name matching of different entity types.