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What is Sorcero?

Sorcero is a cutting-edge platform that utilizes artificial intelligence to transform complex medical information into actionable insights tailored for the life sciences industry. It features a variety of tools, including Medical Insights Management, Intelligent Publication Monitoring, Plain Language Summaries, and Intelligent Systematic Literature Review, all designed to integrate and interpret both structured and unstructured data from multiple sources. By harnessing AI to analyze medical themes, research notes, and findings, Sorcero delivers precise and high-quality answers to intricate medical questions, thereby empowering teams in Medical Affairs, Pharmacovigilance, and Regulatory Affairs to make more informed decisions. The platform not only accelerates literature monitoring and aids in content generation but also promotes evidence-based decision-making, which significantly enhances patient outcomes while optimizing operational workflows. Furthermore, Sorcero's advanced features contribute to improved collaboration among various stakeholders in the healthcare ecosystem, fostering a more interconnected approach to medical research and practice. Ultimately, this innovative solution stands to revolutionize the way life sciences professionals access and utilize critical medical insights.

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.

Media

Media

Integrations Supported

Microsoft Excel
Microsoft Word
Reddit

Integrations Supported

Microsoft Excel
Microsoft Word
Reddit

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Sorcero

Date Founded

2017

Company Location

United States

Company Website

www.sorcero.com

Company Facts

Organization Name

Neotrope

Date Founded

2007

Company Location

France

Company Website

affect-tag.com

Categories and Features

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

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

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