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Ratings and Reviews 0 Ratings
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What is Zenus?
Accurate information is vital for making informed decisions, yet many surveys remain unanswered. While solutions like RFID and Bluetooth (BLE) can be intricate and costly, smart cameras stand out by effortlessly analyzing countless faces to provide metrics such as impressions, demographic information like age and gender, and tracking positive emotional reactions over time. These cameras can be set up in under 12 minutes, and users benefit from the ability to view a live dashboard from virtually anywhere, at any time. By examining hundreds of faces, organizations can gauge emotional well-being with over 95% accuracy, thereby uncovering which demographic segments are more or less engaged. This capability allows for A/B testing to evaluate the success of different marketing approaches and content, shedding light on what truly resonates with the target audience and the reasons behind it. Armed with this technology, businesses gain essential data and insights that can significantly improve their sales, marketing, and research strategies. Furthermore, the automatic tracking of total impressions (non-unique) and the measurement of average dwell time provide deeper understanding of consumer behavior. By implementing ethical facial analysis, organizations can unveil unique insights about their audience that were once challenging to access, ultimately leading to more effective engagement strategies moving forward.
What is Receptiviti?
By examining language, one can reveal a range of personality traits and underlying motivations. Receptiviti connects these traits to the Big Five personality framework, which includes 35 unique personality metrics. Through the evaluation of aspects such as authenticity, influence, and social bonding, individuals can better understand how they interact within social settings. This thorough analysis not only uncovers the motivations driving behavior—be it ambition, the quest for power, a longing for rewards, risk aversion, or a propensity for taking risks—but also highlights harmful or aggressive language that may reflect bias, hate, or violence toward specific groups. Moreover, the ability to determine the authorship of various written works adds significant value in areas such as literary critique, cybersecurity, forensic analysis, and the examination of social media communications. This multifaceted approach ultimately deepens our comprehension of communication across different environments. In an era where digital interactions dominate, the ramifications of these findings are extensive and significant, influencing how we perceive and engage with one another in an interconnected world.
Integrations Supported
Unified.to
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Zenus
Company Location
United States
Company Website
www.zenus.ai/analytics
Company Facts
Organization Name
Receptiviti
Date Founded
2015
Company Location
Canada
Company Website
www.receptiviti.com/platform
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
People Counting
API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions