Combating Financial Crime

using “Phonetic Fingerprint”

Lower Cost, Greater Accuracy, Increased Efficiency

BETTER COMPLIANCE - LOWER OPERATIONAL COSTS

ACCURATE NAME MATCHING

ELIMINATING FALSE POSITIVES

Fincom’s advanced “Phonetic Fingerprint” technology, will enable you to quickly trace any Entity by Name  Pronunciation or “Name-Sound”, based on a Single Mathematical Representation. The resulted “Accurate Name Matching” will improve and lower significantly your operational costs and prevent unnecessary fines, whilst increasing reliability and maintain your reputation.

COMPLIANCE MADE EASY​

AML animation - FinCom.Co

“Find a needle in the hay-stack”

THE CHALLENGES

THE BURDEN OF COMPLIANCE
THE TRADE-OFF DILEMMA​

The Trade off between Penalties vs. Poor Customer Service & Legal Claims.  The Consequences are: damage to reputation, profit, share value and costs.

The Ideal Solution should include Reliable Identification, with no missed-hits, and no false positive.

HOW DOES IT WORK?

Step 1- Indexing Sanction Lists/PEP/Blacklists with “Phonetic Fingerprints”

Step 2 – Comparing Entity’s “Phonetic Fingerprints” in wide funnel (multi-lingual) – covering 100% and avoiding Missed-Hits

Step 3 – Applying AI/ML engines to filter out False Positives

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Phonetic Fingerprint

PHONETIC FINGERPRINT is a mathematical representation of the name of individual person or other entity (example: company name).

How do we do it?
Using automated Real-time technology, supported by AI-ML layers, using over 48 mathematical algorithms resulting in accurate matching of names across 38 different languages, transliterations and spelling variations.

TRACING PHONEME  & ACCURATE NAMES MATCHING across –

  • 38 languages in their original writing
  • different transliterations 
  • spelling variations

Product Range

AML Compliance

Our range of AML compliance products, ensures high accuracy, helping you in meeting regulation requirements, for Onboarding Name Screening, Ongoing monitoring, using persistence automations, Realtime transaction screening, COP/BAV, Alert Suppression optimization engines, and more.

Entity Resolution

In Entity Resolution, our target is to identify all the data entries that are linked or referred to an Entity across multiple data sources as well as within the same database, creating a Single-Customer-View, the ‘Golden Records’ without compromising GDPR requirements, by using Fincom’s unique Anonymous search.

Data Mapping

Data mapping, deduping, cleansing and unification, resolving the challenges of broken data, caused by multiple IT and data systems, different CRM, ERP’s, duplications of data-entries in and in-between databases, across multiple languages from different data sources.

Sectors & Customer Clusters

Bank-B-oz2rb6wza91n08e1ehu0906rr9lxtyh3ggspnno510

Banks

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Insurance

credit-cards-B1-oz58e7jj217kws0no8v6x84bh8mn1540pq8qd6ldo4

Credit Cards

loans-B1-oz58vpbe915ozilvit38bt75heekack6gbc1wknlv8

Financing

investments-B1-oz58h3vm4n6epht3qzys3zshf0cdrjm842nmmwaohg

Investments

crypto-B-oz688b136397pq2wewbi4o9mtlwllwpg345wn1r5nu

Crypto

remittance-B1-oz58nk1r0q08d6fv3abmpv7c56k1ks7xbzsk68qfsk

Remittance

forex-B1-oz58jk8fz2jd0u8rf25pmdht988vv3czs7z9qwno8k

Forex

payments-B1-oz58s1pzo85ju3x0v87gmqembgf6cq1ra802pu2q2c

Payments

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Casinos

Our Technology

Multi dimensional process

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Phonetic Fingerprint

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Smart Suggestion Engine

Insights

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