Amazon RekognitionAmazon
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EchoDepthCavefish Ltd
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Related Products
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About
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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About
EchoDepth is an Emotional Risk Intelligence platform from Cavefish. It measures how communication will land before it is delivered, scoring delivery risk across video, voice and text.
Unlike sentiment analysis, which classifies language as positive or negative after the fact, EchoDepth analyses observable delivery signals and returns scored, timestamped reports showing where audiences disengage and what to change. Measurement is built on the Facial Action Coding System standard: 44 Action Units calibrated across 14 cultural cohorts in 6 countries, rather than generic image classification. EchoDepth reports what the facial muscles did, not what emotion that represents, leaving interpretation to context-aware human review. For regulated deployment this is the defensible architecture.
Typical applications include earnings call and investor communication review, FCA Consumer Duty vulnerability detection, contact centre escalation prevention, interview consistency scoring, and defence
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Organizations that want to automate their image and video analysis with machine learning.
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Audience
Enterprise teams in regulated and high-stakes settings: investor relations and finance, contact centre and customer operations, HR and talent, market research and insight, defence and security. Typically financial services, healthcare, public sector and transport.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$5000 per month
proof of concepts start at $25k
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rekognition/
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Company InformationCavefish Ltd
Founded: 2023
United Kingdom
cavefish.ai
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Categories |
Categories |
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Computer Vision Features
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
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Emotion Recognition Features
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
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Integrations
AI/ML API
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
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Integrations
AI/ML API
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
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