HRMNY AI EXPLAINED
The core of our technology lies in an AI/ML algorithm trained by anonymous and carefully marked data provided by our experts with decades of experience in cognitive sciences.
TRAINING A MACHINE TO IDENTIFY PATTERNS
For the last year we've been feeding machine learning algorithms with carefully marked photos so that our technology can learn to identify behavior patterns the way our experts do.
FULLY ANONYMOUS PATTERN RECOGNITION
All we need is just one photo. No name, surname, gender, age, or social media accounts. No personal information. HRMNY AI is completely unbiased and analyzes patterns only.
RECOGNIZED PATTERN MATCHING - HRMNY.ID
When we analyze a photo, we recognize around 50 patterns. These patterns get matched with our behavioral framework and converted into a set of personality parameters and preferences. We call it HRMNY.ID.
BUILDING GENUINE PERSONALIZED EXPERIENCE
Our AI-based behavioral framework provides insights on your customers' motivation, values, fears, priorities, beliefs, communication traits, even the vocabulary they use.
Interested to try out HRMNY.ID? Subscribe for our closed beta!
* Invitation only
HRMNY methodology is built on top of proven Cognitive psychology and behavior science practices and supported by the main physiognomy principles.
Your FACE TELLS
and we know how to read them
It has been proven that all people exhibit certain behavioral patterns commonly known as ‘personality’. These patterns influence the way we think, behave, react, and make choices. Knowing these behavior patterns allows you to predict and influence people’s behavior and design an authentic personalized experience.
During the last two years, our methodology was tested with thousands of people with 99% precision. Its’ roots date back to personality psychology works by Carl Gustav Jung.
HRMNY experts with 10+ years of experience in cognitive sciences designed a complete personality framework to translate behavior patterns into actionable data that can be applied in any domain to design great personal experience.