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What is Naiza?

Naiza operates as a platform that centers around APIs, specifically designed to combat fraud and conduct AML screenings, catering to banks, fintech firms, payment processing entities, and a variety of online businesses. Utilizing its REST API, the platform evaluates activities such as logins, registrations, payments, and withdrawals, providing decisions categorized as ALLOW, REVIEW, or BLOCK, along with relevant risk scores and contextual rule details. Users are able to establish personalized rules, capitalize on device signals, and enhance data with insights from IP addresses or emails, while also managing allowlists and blocklists with ease. Furthermore, the platform supports screening against sanctions, politically exposed individuals, and various watchlists for both people and organizations, ensuring that any matches are incorporated into the review process. An extensive web dashboard allows for real-time monitoring of events, facilitating investigations, team collaboration, and effective case management, while the AML processes include oversight of events and the generation of Suspicious Activity Reports (SARs). Naiza also offers integration options through its API and browser-SDK, and it is hosted in Saudi Arabia, providing accessibility for product and risk management teams aiming to embed fraud detection and screening in their customer onboarding and transaction workflows. With its advanced capabilities, Naiza not only strengthens organizational security measures but also significantly enhances compliance efforts, helping institutions to navigate complex regulatory landscapes more effectively. This comprehensive approach to fraud prevention makes Naiza a vital resource for businesses operating in today’s digital landscape.

What is Effiya?

Effiya Technologies offers an extensive array of solutions aimed at combating money laundering, monitoring financial transactions, detecting fraudulent activities, and screening for sanctions within the banking and financial sectors. Each of these specialized products is developed through a deep understanding of business requirements and specific application domains, employing state-of-the-art technologies and software designed for compliance in finance. Our commitment at Effiya Technologies lies in harnessing machine learning insights alongside our years of consulting expertise to create business applications that empower our clients to improve their operations, establish stronger relationships with customers, and take full advantage of automation by optimizing their business processes. Our innovative methodology encompasses a variety of projects, including initiatives focused on monitoring trees for environmental conservation and the development of sophisticated chatbots aimed at enhancing customer engagement. Furthermore, we are dedicated to continually adapting and refining our services to align with the evolving needs of the financial industry, ensuring that we remain at the forefront of technological advancements and customer satisfaction. We believe that by staying proactive in our approach, we can deliver unparalleled value to our clients and contribute positively to the market.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Limaz

Date Founded

2025

Company Location

Saudi Arabia

Company Website

limaz.co

Company Facts

Organization Name

Effiya Technologies

Company Location

Singapore

Company Website

www.effiya.com

Categories and Features

AML

Not specified

Fraud Detection

Not specified

Categories and Features

AML

Not specified

Fraud Detection

Not specified

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