Who are we?
At Emotect ai (short for Emotional Architecture) we are building something different, not AI that recognizes emotions through facial movement or voice intonation, but AI that understands where emotions come from, why they matter, and how they shape and predict human behavior and experience.
What is our Vision?
We see ourselves building a more fulfilled future by helping people gain a deeper understanding of themselves and other people leading to lives with more meaning, happiness, and safety. The advent of AI enables us to build a computational approach to our inner lives, at scale.
What is our Mission?
Our mission is to be the first company to bring to market a predictive AI model for our inner emotions, based on unobservable histories (such as core memories, beliefs, etc.). This model will be a new input to aggregate into other emotions models to make better understand and predict human decisions and behaviors
What Are Emotion, Feeling, and Affect?
Emotion is one of the most studied yet least consistently defined concepts in the behavioral sciences. The terms emotion and feeling are often used interchangeably in everyday language, but for our purposes, they refer to distinct processes.
Feelings are subjective labels we give to internal states. They are the conscious, phenomenological experience of what it feels like to be angry, hopeful, jealous, calm, or inspired. Feelings are personal, context-dependent, and shaped by interpretation.
Emotions are more structured than feelings. We define emotions as discrete, patterned states with both subjective and objective components or states that can be observed, measured, and modeled. In this sense, our use of “emotion” closely aligns with the scientific concept of affect.
Affect is the formal research-based domain that studies the full architecture of emotional life. It includes dimensions such as intensity and duration, onset and offset timing, recovery curves, appraisal patterns, physiological signatures, contextual influences, and behavioral tendencies. Affect is the objective scaffolding beneath subjective feelings. When we use the word emotion in our work, it is often this broader affective system we are describing.
Our research at Emotect ai focuses on enduring emotional patterns, sometimes called affective traits, that arise from core beliefs, core memories, somatic signals (interoception), and external influences such as culture and context. These traits shape, explain, and we believe help predict how people think, feel, and act across major life domains, including work, relationships, finances, civic life, and well-being. Our models and approach integrate insights from psychology, neuroscience, cognitive science, physiology, and related fields to map the deeper architecture of emotion and its role in human behavior and experience.
What are we working on?
We are laying the foundation for the world’s first Large Emotional Model (LEM) - a model that learns and identifies the logic beneath our feelings and the patterns beneath our choices. Our LEM will predict how we feel and act in new contexts.
Existing LLMs cannot solve for nuanced emotions or causal emotional relationships.
To do this, we are developing unique approaches to Large Language Model (LLM) architecture and introducing innovations in Knowledge Graph design.
We are also mapping human Emotional Architecture, which is built from:
Core memories — events in our lives that shape lifelong patterns
Cultural and demographic layers — environments that form identity
Cognitive types — how we attend, interpret, and make meaning
Core beliefs — our formed assumptions about self, others, and the world
Physiological data — how basic changes in our body forms our feelings
Personality habits — our patterns developed through successes, habits, cognitive understandings in major Life Contexts
Contextual interpretations — The multitudes of contexts that experiences are interpreted
Why our work matters?
Emotions are complex. Messy. Beautiful.
But it is not beyond comprehension.
We believe the future of our relationship with Technology
depends on getting emotions right.
Because at the heart of every human moment is a feeling,
and technology should meet us there,
in what makes us human.