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What is Vivox.ai?

Vivox AI functions as a regulatory technology platform that leverages sophisticated AI agents to simplify complex workflows related to compliance and the mitigation of financial crimes for regulated entities. This cutting-edge solution is specifically designed to support compliance teams by automating various manual and repetitive tasks usually performed by Level-1 analysts, such as anti-money laundering monitoring, sanctions screenings, adverse media evaluations, and the onboarding processes for KYC/KYB. Operating as a digital compliance workforce, these AI agents integrate smoothly into existing business systems and work around the clock to detect potential risks while ensuring compliance with regulatory requirements. They perform extensive intelligence gathering by accessing a wide array of global sources in multiple languages, facilitating the detection of adverse media, verification of corporate information, and examination of public records and corporate registries. Furthermore, the platform has the capability to generate detailed risk profiles for both businesses and individuals by synthesizing data from various sources, including sanctions lists, thereby significantly enhancing the effectiveness of compliance initiatives. With its ability to automate and streamline compliance processes, Vivox AI empowers organizations to effectively navigate the intricate landscape of regulatory obligations, ultimately improving both their efficiency and accuracy in maintaining compliance. As a result, organizations can allocate more resources towards strategic initiatives rather than being bogged down by repetitive tasks.

What is Quantifind Graphyte?

For over a decade, Quantifind's data analytics platform has enabled both government entities and Fortune 50 companies to derive significant insights from a plethora of public data sources. The platform's strength resides in its combination of scientific methodologies and appealing design, effectively blending advancements in machine learning with intuitive, all-encompassing web applications and APIs. Presently, Graphyte plays a crucial role in mitigating financial crime risks, featuring enhancements that boost the efficiency of Anti-Money Laundering (AML) investigations by 40% or more. It utilizes a variety of data points, such as corporate records, law enforcement documentation, regulatory information, registrations, leaks, Politically Exposed Persons (PEPs), sanctions, enforcement actions, restricted lists, and social media insights. The technology crafted by Quantifind is integrated throughout the investigative process, improving each step for greater productivity. Furthermore, a powerful web application, built with a user-friendly interface, enables investigators to swiftly access crucial data, thereby significantly streamlining their work. This forward-thinking methodology not only saves valuable time but also improves the overall quality of the investigative outcomes. Consequently, Quantifind continues to redefine the standards for data analytics in the realm of financial crime investigation.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Vivox.ai

Date Founded

2024

Company Location

United Kingdom

Company Website

www.vivox.ai/

Company Facts

Organization Name

Quantifind

Date Founded

2009

Company Location

United States

Company Website

www.quantifind.com

Categories and Features

AI Agents

Not specified

AML

Not specified

KYC

Not specified

Categories and Features

Data Analysis

Not specified

RegTech

Not specified

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