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features
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support

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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AI/ML API Yes 

Integrations

AI/ML API No 

Pricing Details

$5000 per month
proof of concepts start at $25k
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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 Yes 
Facial Expression Analysis Yes 
Machine Learning Yes 
Photo Emotions Yes 
Speech Emotions Yes 
Video Emotions Yes 
Written Text Emotions Yes 

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

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