AI Face Insights
Personalized experiences for the emotion economy
Personalized experiences for the emotion economy
Gather insights on your customers’ emotional journey & demographics.
Machines with empathy, Robots with EQ – emotional intelligence – to adapt to your customers’ emotions and better personalize their service. Engage your customers with meaningful experiences and gather insights that respect ethics & privacy.
Sampling rates vary with customers’ requirements from every few seconds to > 10 times per second. Gender Age & Ethnicity detectors provide audience demographics. Face re-identification recognizes returning customers, colleagues in video collaboration, or students in online lectures. Anonymized data are turned into insights with big data analytics. All data are stored on our Insights Platform’s Secure Servers hosted by Amazon AWS.
Use Cases
- Video collaboration: measure engagement & attention of teams & students.
- Healthcare: gather insights on patients’ experience, mental health, prevention of depression, stress, and anxiety.
- Smart digital signage: Learn about audiences’ preferences and adapt content to each demographic segment.
- Apps & Video Games: adaptive to user’s emotions, richer user testing.
- Emotional Journey Analytics for Retail Stores.
- Customers Insights focus groups: Deploy projects & gather results instantly with Web or Mobile Apps.
- Events & Conferences: Engagement & demographics of visitors.
by Design
MoodMe processes all faces locally. No faces stored ever. No faces in the Cloud.
by Design
Unbiased AI built with datasets as diverse as humanity: ethnicities, genders, and ages.
real-time feedback as all processing is local.
Cloud APIs & bandwidth cost a fortune at scale.
MoodMe processes all faces locally. No faces stored ever. No faces in the Cloud.
Unbiased AI built with datasets as diverse as humanity: ethnicities, genders, and ages.
real-time feedback as all processing is local.
Cloud APIs & bandwidth cost a fortune at scale.