THE TITLE OF THE BEST SOLUTION FOR DIGITAL TRANSFORMATION IN REGULATORY COMPLIANCE GOES TO FINCOM
Fincom is honored to be announced a winner of the RegTech Insight Awards 2022 Europe in the category of Best Solution for Digital Transformation in Regulatory Compliance.
The RegTech Insight Europe Awards was created with a goal to bring “recognition to providers of leading RegTech solutions… who are creatively finding solutions to help with regulatory challenges,” and Fincom is proud to be recognized as such.
Fincom was nominated in 6 categories, offering one of the most advanced effective solutions for:
- Client On-Boarding
- Sanctions Management
- Compliance as a Service
- Regulatory Consultancy
- Digital Transformation in Regulatory Compliance
- Data Privacy,
and became the winner in the category of Digital Transformation in Regulatory Compliance.
About Fincom
FINCOM develops and deploys Streamlined Data Search Solutions for AML/Sanction Screening, Data Mapping, Entity Resolution, and Homeland Security applications.
Fincom’s patented “Phonetic Fingerprint” core technology ensures accurate matching and mapping of data entries in 40+ different languages (in original alphabets and transliterations) across different data silos, while deduplicating and cleansing results.
Fincom’s core technology, applied in Entity resolution and AML solutions, was tested and approved by tier-1 Financial Institutions and Governmental Regulators, demonstrating Real Time processing (in under 200 milliseconds) in high volume data sets with over 170 million entries.
The Core Technology
Fincom’s patented core technology – ‘Phonetic Fingerprint’ – makes it possible to ‘understand’ the way the name sounds, no matter what system or Alphabet is used to represent these sounds. The System’s phonetic-linguistic capability of name screening and matching within and across languages and other sign systems, enables recognizing names in their original spelling as well as transliterations and encodings. Enhanced by 48 mathematical algorithms, phonetics, computational linguistics, and distance algorithms (within and across languages) and tracing each phoneme across 40+ different languages and sign systems, transliterations, and spelling variations, enables accurate name matching, ensuring automated efficient real-time screening for AML compliance.
