Entity Resolution and Name Matching Technology
Fincom’s advanced patented technology employs a robust algorithmic approach to compare written text in multiple languages.
Utilizing its deep-tech in combination with additional advanced algorithms, Fincom has developed the Phonetic-Linguistic and Entity Resolution engines, which now serve as the core of various solutions created by the company. AML Compliance and Entity Resolution solutions range from OFAC Sanction screening, Payment Screening and Verification of Payee to Perpetual KYC (pKYC)/ Ongoing Screening, Model Validation, Trade Finance, Database management tools and others.
Multiple Screening Methodologies
for different Data Types
Fincom uses multiple advanced data-matching and screening methodologies for different data types. Typical data types used in AML Compliance and OFAC Screening are: Individual Names, Corporate Names, Banks Names, Vessel/aircraft names/IMO’s, Addresses, Countries, Product Names, HS-codes, BICs, Free-text fields (unstructured data), ID numbers, etc.
Structure-agnostic, Language-agnostic, Data Source-agnostic
Fincom’s Entity Resolution technology applies multilingual phonetic mapping, computational linguistics, and advanced mathematics allowing for the creation of a unique numeric code that represents different data components. This enables transformation of data components in any available form, structure, or language. The transition occurs directly, eliminating the need for Romanization, translation, or lookup tables.
Fincom’s innovative approach delivers transparent, consistent, accurate, fully explainable results. Fincom’s technology can be applied to any database type, structure, language or data technology.
Processing Data Directly in Original Scripts
(non-Latin Characters)
Fincom’s Entity Resolution technology is extremely powerful for data-mapping and processing data records in original scripts. i.e., it does not require any data transformation, like Romanization, transliteration or translation!
As such, it guarantees the integrity of data and provides unparalleled accuracy when matching records from different databases or silos spread throughout multiple geographic regions.
This unique capability allows such applications as OFAC/Sanction Screening to process data in its original language, whether it is a Latin or non-Latin script. This is crucial since more and more regulators include different languages in their sanction lists. For example: OFAC-SDN, Swiss, Canada, UK, UN, EU. Enabling direct screening of entities in their original alphabets, Fincom’s technology supports this developing trend.
in 44 Languages
Fincom’s Entity resolution, Name Matching and AML Sanction Screening are performed in 44 languages, including Latin and Non-Latin characters.
Using advanced Multilingual Phonetic Mapping and Computational Linguistics also allows to process different Dialects and various culture-language writing styles.
Languages supported include: pictographic languages – such as Chinese, Japanese, Korean, etc. Cyrillic languages – such as Russian and Bulgarian, Hebrew, Greek, Arabic – covering all 14 different dialects, and many more.
Accuracy and Efficiency
Fincom’s Sanctions/OFAC screening platform is powered by its distinctive Phonetic-Linguistic and Entity Resolution engines, leveraging advanced algorithms in phonetics, computational linguistics, and mathematics to deliver unparalleled accuracy and speed in payment transaction screening.
Insights
