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What is Vigil AI?

Take firm actions to ensure that your platform does not inadvertently facilitate the distribution of CSE content by cutting ties with suppliers and confronting the core human tragedies linked to it. By refining the workflow, you can give your analysts improved control over the content they assess. Rather than wading through a vast sea of unrelated media on an individual basis, they can systematically verify the classifier's choices, concentrating on targeted categories. Our solutions are crafted for quick categorization, greatly bolstering your analysts' effectiveness, allowing them to shift from simply tackling a backlog of moderation to proactively identifying, categorizing, and removing CSE content from your platform. This forward-thinking strategy not only enhances operational efficiency but also plays a vital role in fostering a safer digital space for all users, ultimately promoting a culture of accountability and responsibility within the online community.

What is RUZIVO?

Segmentation is a method utilized in Print and Broadcast Media that has historically depended on manual techniques. RUZIVO has revolutionized this approach by implementing automation through Machine Learning, which not only improves accuracy but also greatly decreases both time and costs. The Segmentation process established by RUZIVO consists of pinpointing the start and end indicators of radio clips and images meant for Broadcast and Print. During this stage, it is determined if the content—whether it’s an image, video, audio clip, or email—meets the criteria to be classified as an advertisement. After being categorized as either Ads or non-Ads, various media formats are then compared with a database to ascertain if they are fresh content or duplicates. This particular step is essential, as duplicates are documented while new Ads are organized into categories according to industry, type, and any specific criteria set by clients. The automation of the Classification process by RUZIVO has markedly sped up the time it takes for clients to become aware of new advertisements in their selected categories, leading to a more efficient workflow. As a result, clients can now react more promptly to evolving advertising trends and shifts in their respective markets, ultimately enhancing their strategic decision-making. Additionally, this streamlined method empowers clients to remain competitive and agile in a rapidly changing media landscape.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Vigil AI

Company Website

www.vigilai.com

Company Facts

Organization Name

Data-Core Systems

Date Founded

1988

Company Location

United States

Company Website

www.ruzivomedia.com

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Categories and Features

Marketing Automation

A/B Testing
Analytics / ROI Tracking
Artificial Intelligence
Content / Blogging Platform
Customizable CTAs
Drip Campaigns
Dynamic Content
Landing Pages / Web Forms
Lead Scoring
Sales Intelligence
Search Marketing
Segmentation
Social Marketing
Website Visitor Tracking

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