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What is FOCAL?

FOCAL by Mozn offers a range of innovative products that leverage advanced AI and machine learning technologies to tackle the challenges of anti-money laundering (AML) compliance and fraud prevention in emerging markets. The FOCAL Anti-Fraud suite includes a variety of tools designed to combat the increasing complexity and frequency of fraud in these regions. With this comprehensive AML compliance software, financial institutions have the capability to effectively screen their customers, monitor transactions in real time, and evaluate potential risks with greater accuracy and efficiency. This holistic approach not only enhances compliance efforts but also strengthens the overall security framework of financial operations.

What is CredoLab?

Strengthen your teams in areas like risk management, fraud detection, and marketing to improve their decision-making capabilities by employing advanced behavioral analytics sourced from smartphone and web metadata. Join a network of over 150 financial institutions, from traditional banks to innovative fintech companies, that are already utilizing the CredoLab platform to enhance their data insights and uncover new revenue opportunities for sustainable growth and development. The platform seamlessly integrates with your current products, providing unparalleled real-time, data-driven solutions that cater to your specific business needs. By leveraging this technology, you can expect enhanced predictive capabilities, a flawless hit rate, lowered risk expenses, and increased approval rates. Secure vital top-of-the-funnel data, perform instantaneous device velocity evaluations, and implement behavior-based predictive scoring for superior decision-making. Additionally, engage your users with marketing initiatives designed to resonate with their individual preferences and objectives. This results in obtaining thorough and immediate behavioral insights, allowing for a deep understanding of your audience. Once integrated, the platform offers extensive benefits across your organization and can function independently or as an enhancement to existing risk, fraud, and marketing strategies, ensuring a comprehensive response to business challenges. Its adaptability is key in enabling organizations to navigate and flourish in a constantly changing market environment, positioning them for long-term success.

Media

Media

Integrations Supported

Integrations Supported

JavaScript
UpPass

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$600 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
Mac

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Mozn

Date Founded

2017

Company Location

Saudi Arabia

Company Website

getfocal.ai/

Company Facts

Organization Name

CredoLab

Company Location

Singapore

Company Website

www.credolab.com

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Investigation Management
PEP Screening
Risk Assessment
Transaction Monitoring
Watch List

Crypto Compliance

Not specified

Device Fingerprinting

Not specified

Financial Risk Management

Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Identity Verification

Not specified

Income Verification

Not specified

KYC

Not specified

Categories and Features

Device Fingerprinting

Not specified

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