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Description
EchoDepth, developed by Cavefish, serves as an Emotional Risk Intelligence platform that evaluates how messages will be received prior to their actual delivery, providing a risk score for communication across formats such as video, voice, and text. In contrast to traditional sentiment analysis, which categorizes language as either positive or negative after the communication has occurred, EchoDepth focuses on analyzing observable delivery signals and generates scored, timestamped reports that highlight moments of audience disengagement and suggest necessary adjustments. This measurement is grounded in the Facial Action Coding System standard, utilizing 44 Action Units that are calibrated across 14 cultural groups in 6 different countries, making it more precise than standard image classification techniques. Rather than labeling emotions directly, EchoDepth conveys what facial muscles are doing, allowing for interpretation to be contextually assessed by human reviewers, ensuring a robust framework for regulated use. Common applications of this platform include reviewing earnings calls and investor communications, detecting vulnerabilities related to FCA Consumer Duty, preventing escalations in contact centers, scoring interview consistency, and enhancing defense strategies, showcasing its versatility in various scenarios. By leveraging this technology, organizations can improve their communication strategies and foster stronger connections with their audiences.
Description
In various GVC applications, the initial phase involves recognizing emotions: the user vocalizes for several seconds, and the GVC Emotion Recognition algorithm evaluates numerous acoustic characteristics of their voice to derive an understanding of their emotional condition. The outcomes from our emotion recognition system can then be utilized by other algorithms to select suitable responses for the user. At GVC, our main focus is on types of feedback that enhance the user's performance and overall quality of life. This includes analyzing signals from the user's voice, heart, lungs, and other bodily organs. The GVC concept has been put into practice in a range of demonstration applications. These applications utilize a collection of proprietary algorithms that assess various aspects of the user's speech, including the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms, ultimately aiming to create a more responsive and supportive user experience. By integrating advanced technology, we strive to foster a deeper connection between the user's emotional state and the feedback provided.
API Access
Has API
API Access
Has API
Integrations
AI/ML API
Pricing Details
$5000 per month
proof of concepts start at $25k
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
Cavefish Ltd
Founded
2023
Country
United Kingdom
Website
cavefish.ai
Vendor Details
Company Name
Good Vibrations Company
Founded
2011
Country
Netherlands
Website
good-vibrations.nl/
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions