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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 Shift Compliance Risk?

Shift Technology’s Compliance Risk solution transforms financial crime detection for insurers with AI-powered automation and real-time monitoring. Traditional compliance processes often burden insurers with delays, high costs, and excessive false positives. Shift addresses this by applying predictive AI that screens sanctions lists, adverse media, UBO structures, and complex networks with precision. Its advanced entity resolution capabilities reduce duplication and noise, allowing compliance officers to focus only on high-risk alerts. Beyond regulatory checks, Shift’s models identify suspicious networks and patterns, helping insurers detect potential money laundering and fraud schemes across millions of claims. This not only prevents regulatory penalties but also strengthens brand trust by ensuring ethical, compliant operations. Seamless integration with existing systems ensures minimal disruption while expanding coverage and accelerating buyer onboarding. Global insurers report significant benefits, from detecting hundreds of suspicious scenarios within months to replacing outdated manual compliance processes. With 115+ customers and a strong track record of fraud network detection, Shift combines industry-specific expertise with next-generation AI. It’s a compliance solution that delivers protection, efficiency, and confidence for insurers facing increasing regulatory complexity.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

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
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Vivox.ai

Date Founded

2024

Company Location

United Kingdom

Company Website

www.vivox.ai/

Company Facts

Organization Name

Shift Technology

Date Founded

2013

Company Location

France

Company Website

www.shift-technology.com/products/compliance-risk

Categories and Features

AI Agents

Not specified

AML

Not specified

KYC

Not specified

Categories and Features

AML

Not specified

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