Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
T-Pulse is an AI-powered video analytics module that identifies high-risk situations across industrial workplaces. It analyzes live feed from CCTV cameras and mobile devices to detect more than 100 at-risk events.
The solution reviews video streams and converts detected events into time-stamped alerts. This allows safety teams to validate observations, engage frontline personnel, and address risks before they develop into incidents. To respect privacy, facial signatures are automatically blurred while preserving the situational context required for safety review.
The module can be configured for site-specific hazards, work areas, restricted zones, operating conditions and alert thresholds. It supports monitoring across multiple facilities and provides dashboards for recurring hazards, compliance trends, hotspots, leading safety indicators, and site performance.
Key capabilities include:
• AI-based detection of 100+ at-risk events
• Configurable zones, and alert thresholds
• Automated alerts with image or video evidence
• Privacy protection through facial-signature blurring
• Event review, validation, classification, assignment, and closure workflows
• Dashboards for trends, hotspots, and leading indicators
• Role-based access controls and audit trails
• Cloud, on-premises, and hybrid deployment options
Hazard Detection helps organizations move beyond periodic, observation-based safety checks toward continuous, evidence-driven risk identification. By improving visibility into hazards and recurring patterns, focused safety engagement, and better prioritization of preventive actions.
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
Per Feed /Month
Per Feed /Annum
Per Feed /Annum
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
Detect Technologies
Founded
2016
Website
detecttechnologies.com
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions