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What is Overtone?

Overtone serves as a contextual intelligence hub that meticulously analyzes real-time digital news and media, interpreting data with the precision of a seasoned journalist while utilizing the speed and expansive reach of artificial intelligence. By examining page-level specifics, it uncovers distinct, signal-driven insights about the influence of various stories, elucidating the reasons behind their interconnections and their relevance to brand identities. Aimed at serving publishers, advertisers, and PR specialists, Overtone processes over 1.4 billion requests daily, generating a multitude of unique signals across diverse languages and facilitating audience curation that prioritizes content, thereby enhancing targeting, ensuring brand safety, maintaining the relevance of campaigns, and driving revenue without relying on invasive personal data practices. This platform empowers media professionals to "identify and act on the significant stories," seamlessly integrating clarity, cultural context, community insights, and real-time "cultural pulse" signals into the frameworks of adtech and content workflows, thus revolutionizing how these experts function within an ever-changing media environment. Additionally, this cutting-edge strategy not only streamlines campaign efficiency but also cultivates a stronger bond between brands and their target audiences, ultimately leading to more meaningful engagements.

What is EchoDepth?

EchoDepth, created by Cavefish, functions as an Emotional Risk Intelligence tool that assesses how messages are likely to be perceived before they are actually sent, offering a risk score for various communication mediums, including video, voice, and text. Unlike conventional sentiment analysis, which merely classifies language as positive or negative after a message has been delivered, EchoDepth emphasizes the evaluation of observable delivery indicators and produces scored, timestamped reports that pinpoint moments of audience disengagement while recommending adjustments. This approach is rooted in the Facial Action Coding System standard, employing 44 Action Units that are calibrated across 14 cultural groups in six different nations, thus offering greater precision than typical image classification methods. Instead of directly labeling emotions, EchoDepth illustrates the activity of facial muscles, enabling context-based interpretation by human reviewers, which ensures a solid framework for responsible application. Its diverse applications include analyzing earnings calls and investor communications, identifying potential compliance issues related to FCA Consumer Duty, mitigating escalations in contact centers, evaluating the consistency of interviews, and bolstering defense strategies, demonstrating its adaptability across a wide range of situations. By harnessing this innovative technology, organizations are empowered to refine their communication strategies, ultimately leading to stronger connections and more meaningful engagements with their audiences. Moreover, the insights gained from EchoDepth can significantly inform future messaging approaches, further enhancing the effectiveness of communication initiatives.

Media

Media

Integrations Supported

Integrations Supported

AI/ML API

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$5000 per month
proof of concepts start at $25k

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Overtone

Company Location

United States

Company Website

overtone.ai/platform/

Company Facts

Organization Name

Cavefish Ltd

Date Founded

2023

Company Location

United Kingdom

Company Website

cavefish.ai

Categories and Features

Categories and Features

Emotion Recognition

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

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