Technology

Multi dimensional process

Multi dimensional process

Achieving unbeatable results using cutting edge technologies

Phonetic Fingerprint

Phonetic Fingerprint

Unique technology based upon advanced phonetics

Smart Suggestion Engine

Smart Suggestion Engine

Encompassing AI & fuzzy logic to cross-reference data

MATCHING ENTRIES ACROSS MULTIPLE DATABASES

- The Technology behind

Using advanced phonetics, artificial intelligence (AI) & fuzzy logic in a multi-dimensional process:

SANITIZATION: ensuring the integrity of the information in the databases

NORMALIZATION: formatting & transforming data to a mathematical code   (phonetic fingerprint)

CALCULATION: matching the entries between databases by over 44 algorithms  accurately and efficiently.

PHONETIC FINGERPRINT

- Fincom.co patented technology

Phonetic fingerprint is a mathematical representation of the pronunciation and phonemes within the name (individual person or other entity). Using automated Real-time technology, supported by computational linguistics,  AI-ML layers, using over 48 mathematical algorithms, tracing the phoneme across 40 different languages, transliterations and spelling variations enables accurate name matching.

594360=Archibald=Archimbaud=Arquibaldo=Арчибальд

The CORE TECH

at the base of Fincom’s solutions

Core-Technology-אילוסטרציה עם טקסטPHONETICS– understanding the “sound”COMPUTATIONALLINGUISTICS– convert Sound into NumberDISTANCEALGORITHMS– Increase Matching Accuracy4 Propriety distance algorithms, 2 intra-language & 2 inter-languageAI UNDERSANTING NAMES– Enhancing human Eye & logicAI SUGGESTION ENGINE- Trend Analysis (combined withML-Persistence mechanism)AI FUZZY LOGIC– ensuring effciency and effectivenessML REGRESSION ANALYSIS– persistence(using history of past decisions)ML – FREQUENCY WEIGHING- frequency of similaritiesbetween names

PHONETICS

– understanding the “sound”

COMPUTATIONAL LINGUISTICS

–  convert Sound into Number

DISTANCE ALGORITHMS

–  Increase Matching Accuracy

4 Propriety distance algorithms, 2 intra-language & 2 inter-language

ML  REGRESSION ANALYSIS

– persistence (using history of past decisions)

ML – FREQUENCY WEIGHING

 – frequency of similarities between names

AI  FUZZY LOGIC

– ensuring efficiency and effectiveness

AI SUGGESTION ENGINE

– Trend Analysis (combined with
ML-Persistence mechanism)

AI  UNDERSANTING NAMES

– Enhancing human Eye & logic

MULTILINGUAL - 40 Different Languages

English, EU-languages, Russian, Cyrillic, Arabic, Chinese, Japanese, Korean

One of the first major problems solved by FinCom.Co’s solution, was introducing systems of notation for speech sounds that would solve known problems of auditory phonetics and descriptive linguistics –

because existing language notations are not universal among dictionaries in languages other than English. Since linguistic theory has its origin in practical problems of descriptive linguistics, the approach of the team is Phonology (and its theoretical developments, such as the phoneme) which deals with the interpretation of sound in language.

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