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Description
AuraWatcher is an AI-driven tool designed to monitor reputations by analyzing the comment sections of public social media profiles, currently focusing on TikTok, to identify potential reputation threats before they escalate. Rather than relying solely on keyword matching, its advanced language model comprehensively understands nuances like sarcasm, irony, and slang, categorizing comments into various threat types such as harassment, legal risks, boycott calls, and physical threats, while assigning severity scores ranging from 1 to 100 based on severity, reach, and speed of propagation. The tool also features surge detection to identify coordinated attacks and distinguishes between new hostility and older comments that have resurfaced. Users can easily add any public profile using the handle without needing to log in or provide passwords, and the tool checks recent posts at specified intervals, focusing on the most prominent comments. When the monitored activity surpasses user-defined thresholds, alerts are sent via email, browser notifications, or Telegram, complete with easy-to-understand summaries. Additionally, a user-friendly dashboard provides insights into trends, active alerts, resolution times, and the status of each profile being monitored. For agencies and enterprise users, upgraded tiers offer enhanced features like multi-profile management, team collaboration tools, and the ability to integrate with custom systems, ensuring comprehensive reputation oversight across a broader range of profiles. This multifaceted approach empowers users to stay ahead of potential reputation issues effectively.
Description
The Slang In-App Voice Assistant serves as a multilingual enhancement for your application, allowing users to communicate in various languages while receiving responses in the same language. This voice assistant, known as VAaaS, significantly streamlines the integration of a voice feature into your current mobile and web applications. It operates on a low-code platform, facilitating the addition of the Slang In-App Voice Assistant into applications from specific domains that are already supported. For those domains not natively supported, the system provides a highly adaptable programmable platform. It can comprehend and respond in five different languages, including a mixed mode, and automatically translates all interactions into English, ensuring that your app's frontend and backend maintain English language consistency. Slang's innovative low-code methodology simplifies the integration process for developers, while also providing support across various platforms and frameworks, all adhering to a unified integration model. This versatility makes it an attractive option for businesses looking to enhance user engagement through voice technology.
API Access
Has API
API Access
Has API
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Pricing Details
$49/month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AuraWatcher
Founded
2026
Country
Poland
Website
aurawatcher.com
Vendor Details
Company Name
Slang Labs
Founded
2017
Country
India
Website
www.slanglabs.in/
Product Features
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label
