The Science Behind the Technology

At HRMNY, we are driven by a single idea — to unite cutting-edge technology with deep-rooted scientific principles. Our goal is to help people understand themselves and others through precision, not assumption.

What began as a study of human psychology evolved into a breakthrough: a system that reads cognitive processes objectively, with no tests, no bias, and no interpretation errors.

“Any sufficiently advanced technology is indistinguishable from magic.”

— Sir Arthur C. Clarke, science fiction writer and futurist

How it all began

Analytical Psychology
and Personality Traits: Unearthing the Essence

It all began with the exploration of analytical psychology, rooted in the work of Carl Gustav Jung.

Jung revealed that every person has innate preferences — psychological traits that define how we perceive, process, and respond to information. These are not learned behaviors; they are part of our nature.

Yet their expression depends on life circumstances. A supportive environment strengthens these natural tendencies, while a limiting one suppresses them. Over time, this imbalance creates distortions in personality and behavior — something that HRMNY’s approach helps to restore.

Modeling Personality and Self-Assessment

Throughout the 20th century, researchers built multiple frameworks to describe human individuality: the Myers-Briggs Type Indicator, Eysenck’s PEN model, DISC, the Big Five, and Socionics.

Each of them sought to capture stable psychological patterns that define a person’s consistent way of thinking and acting. Traditional tools — questionnaires, self-assessment tests, and projective methods like TAT, MBTI, and DISC — helped classify people but had inherent weaknesses.

Results often depended on mood, self-awareness, and context. Respondents could easily distort answers, consciously or not. These approaches were slow, subjective, and lacked universal standards of validity.

Facial Features and Personality Links

A new generation of researchers began exploring more objective methods — those based on observation rather than self-reporting.

Facial expressions, tone of voice, body language, and even writing style became measurable sources of psychological data. In recent years, AI-assisted research — such as the work of Dr. Michal Kosinski at Stanford University — has confirmed that artificial intelligence can detect patterns in faces and speech more accurately than humans, linking them to personality and cognitive traits with remarkable precision.

This shift from what a person says to how they behave laid the foundation for HRMNY AI.

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Decoding Human Behavior Through Generations

The journey of understanding human behavior has evolved through seven generations of discovery.