Metodology

“The foundation of our matching engine (formerly matchit®) is designed specifically to deliver results that mirror human perception, at scale and without preprocessing.”

Perception human-like, Scala Superhuman.

Syniti data matching software uses Artificial Intelligence (AI), a proprietary phonetic algorithm, whose vocabulary is customizable, and a contextual scoring engine to solve inconsistencies and all the common problems found in contact data and in the business.

Natural Language Processing (NLP) refers to methods that have to do with the understanding of human language, both written and spoken. “Matchit” makes use of NLP techniques such as lexical semantics to develop and understand from your data based on “what” rather than “where” a data resides.

For example, understand that Toni is a variant of Antonio, Sig. Is a title or prefix, MD is a qualification, and PAC is a variant of Palmer Air Charters. It scans the data, looks for signals and indicators like these, which give information on how a single data should be treated, extracts and “weighs”. Use a machine learning approach.