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features
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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

The IBM Watson® Tone Analyzer employs linguistic analysis techniques to identify emotional and language tones present in written text. This tool is capable of assessing tone at both the document and sentence levels, allowing users to gain insights into how their written messages are interpreted. By utilizing this service, individuals and businesses can enhance their communication effectiveness, tailoring their tone to better connect with their audience. Companies can leverage this analysis to gauge the tone of their customers' messages, enabling them to respond appropriately and foster improved interactions. In this tutorial, you will discover how to utilize IBM Cloud Functions along with cognitive and data services to create a serverless back end for a mobile app. You can also analyze emotions and tones expressed in online content, such as tweets or reviews, predicting emotional states like happiness, sadness, or confidence. Additionally, equipping your chatbot with the ability to recognize customer tones will allow you to devise dialogue strategies that can adapt conversations to better meet customer needs, ultimately enhancing the overall user experience. Understanding emotional nuances in communication is crucial for building stronger relationships with clients.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AI/ML API
IBM Cloud
Quickwork

Integrations

AI/ML API
IBM Cloud
Quickwork

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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-tone-analyzer

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

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