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Cognitive Apps offers a cutting-edge AI-powered API that effortlessly incorporates mental health analytics into a diverse range of products and services. By analyzing users' voice or text communications, this API effectively discerns emotions, moods, and mental health conditions, delivering essential insights like overall mood evaluations, emotion detection, and monitoring of mental health issues. With a remarkable accuracy of 87%, the system only requires a quick 5-second voice sample to perform rapid emotion analysis. This adaptable technology serves various industries by enhancing application functionalities, customizing user interactions, and improving user experience through real-time emotion recognition. Additionally, the API processes data from voice recordings, text exchanges, and physical health indicators, offering a comprehensive perspective on mental health that enriches customer insights and cultivates individualized user experiences. Furthermore, by utilizing this groundbreaking methodology, companies can obtain profound understandings of user behaviors and preferences, leading to enhanced engagement and increased customer satisfaction. Ultimately, the integration of Cognitive Apps' API can transform how businesses connect with their audience, positioning them at the forefront of mental health support and user experience optimization.
What is Affect-Tag RX?
Assessing emotions can yield critical insights for objective evaluations. By integrating cognitive data into your consumer and user research, you can make decisions that are based on genuine emotional reactions. The Affect-tag RX solution provides reliable and insightful emotional metrics through a secure web service and a customized dashboard. These metrics are obtained from physiological information collected via the Affect-tag RX mobile application and its unique smartband. This tool is designed for efficient data collection, fitting effortlessly into a variety of research methodologies. Participants can fully engage in their experiences without any potential biases interfering with the outcomes. Furthermore, our unique algorithms analyze physiological data in just a few minutes, granting researchers quick access to impactful insights. This rapid processing empowers researchers to respond promptly to the emotional data gathered, thereby enriching the overall research process and fostering a deeper understanding of consumer behavior. Ultimately, leveraging such technology not only streamlines research but also enhances the quality of insights derived from emotional analyses.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$0.10 per API call
Free Trial Offered?
Free Version
Pricing Information
$1500 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Cognitive Apps
Date Founded
2019
Company Location
Canada
Company Website
cogapps.com
Company Facts
Organization Name
Neotrope
Date Founded
2007
Company Location
France
Company Website
affect-tag.com
Categories and Features
Mental Health
Appointment Reminders
Appointment Scheduling
Assessment & Treatment Plans
Billing & Invoicing
Claims Management
E-Prescribing
EDI
EMR / EHR
HIPAA Compliant
Inpatient / Residential
Multi-Provider Practice
Patient Portal
Personnel Management
Progress Notes
Single Provider Practice
Categories and Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis