Combating Financial Crime

using “Phonetic Fingerprint”

Lower Cost, Greater Accuracy, Increased Efficiency
90%
reduction false positives
40
languages
<200ms
real time

EFFICIENT – ACCURATE – AFFORDABLE – ADJUSTABLE – TRANSPARENT

Our Solutions

FinC.AML FULL-STACK - NAME-SCREENING

FinC.AML Onboarding Name Screening

FinC.AML Ongoing Screening Automation

FinC.AML Transaction Screening

FinC.AML Adverse Media

FinC.AML Level1 Alert Suppression

FinC.AML Level2 Alert Suppression

FinC.AML Screening Assurance

FinC.AML Model Validation

FinCom.Co. a game changer in AML compliance.

AML-advantages10Based on a uniquetechnology38 LANGUAGESVerifes information inREAL-TIMEresultsSAVESCompliance cossREDUCESfalse positives by 90%PHONETIC FINGERPRINT

Our technology is based on advanced phonetics which enables us to match names across various sanctions and PEP lists giving the guarantee that your business is compliant with all the AML regulations at a fraction of your current costs in less than a second.

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

Play Video

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

Thank you for your interest!
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