Where Artificial Intelligence… …becomes Emotionally Intelligent.
The future of emotional AI will not be trained on more text. It will be trained on real emotions, over time.
Today's models can generate language. They still cannot understand what people feel.
Human emotion is not static text. It is context, intensity, contradiction, regulation, and change over time. Most systems only ever see an isolated prompt. They never see the person behind it, or the same person a week later.
That kind of understanding does not live on the open internet. It lives inside real emotional experience, and almost no one has captured it at meaningful scale.
Human emotional experience has never been captured at scale. Until now.
We turn real emotional experience into structured training data.
Letheia produces one of the first large-scale, longitudinal emotional datasets generated from real people in real emotional moments. Most emotional datasets are scraped text, static sentiment labels, or synthetic conversations. We capture structured emotional state directly from human interaction, over time.
Structured Emotional Reflections
Guided reflections grounded in a person's real emotional state and context, captured as clean, labeled records rather than free text.
Longitudinal Emotional Signals
Repeated check-ins from the same person over time, capturing emotional movement, intensity, regulation, and recovery. The dimension nobody else has.
Safety-Orchestrated Emotional Data
Patent-pending Safety Orchestration routes every interaction, so sensitive emotional moments are handled responsibly and captured cleanly.
Multi-Modal Emotional Capture
Emotion wheel, emoji, voice, intensity, and behavioral context, combined into a single structured record. Not just what is said, but how it is felt.
What an emotionally aware model actually needs to learn from.
Every record is labeled, consented, and tied to a real moment. Built with licensed clinicians on a dimensional model of valence and arousal, so emotion is captured as structured signal, without forcing diagnostic categories.
This is not a dataset you buy. It is one that grows. Most datasets get stale. Ours gets smarter every day.
The next generation of AI will be defined by what it understands about people.
Every interaction with AI carries emotional context. A companion that misses loneliness. A voice assistant that fails to recognize distress. A support system that escalates frustration instead of easing it. The systems that succeed will be the ones that understand not only what people say, but what they feel.
Sentiment alone is not enough. A single label on a single message cannot explain why someone feels the way they do, how intensely they feel it, or how that emotion changes over time. Emotion is dynamic, contextual, and deeply human.
That is why Letheia exists.
Every day, people use Letheia to reflect on their emotions, understand themselves better, and process what they are experiencing. In doing so, they create something extraordinarily rare: structured emotional understanding captured in context and over time.
The open internet contains words. Letheia captures emotional experience.
The next generation of AI will need both.
Organizations building systems that need to understand people.
Six categories. One shared challenge: understanding people.
Frontier AI Labs
Foundation model providers building the next generation of emotionally aware systems. Understanding language is no longer enough. The challenge is understanding the people behind it.
Digital Health Companies
Telehealth, digital therapeutics, and consumer wellbeing platforms. Real emotional behavior helps transform static features into more personalized, responsive, and meaningful experiences.
Academic & Clinical Research
Universities, research hospitals, and research labs studying emotional regulation, intervention efficacy, wellbeing, and human behavior over time. Structured longitudinal emotional data opens new opportunities for research that has traditionally been difficult to conduct at scale.
Enterprise Wellbeing Platforms
Workplace wellbeing vendors serving employer benefits. Longitudinal emotional signal sharpens intervention targeting and outcome measurement.
Public Health & Government
Public health agencies, policymakers, and researchers seeking deeper insight into population wellbeing and emerging emotional health trends. Understanding how emotions evolve over time can help inform better decisions and interventions.
Higher Education & Student Wellbeing
Colleges, universities, counseling centers, and campus wellbeing programs supporting a generation facing unprecedented emotional and mental health challenges. Gen Z is where the need is sharpest.
How Letheia creates emotional understanding.
The hard part was never structuring emotional data. The hard part is creating enough trust for people to return, again and again, and share what they actually feel. That is what we built.
Capture
A free emotional support experience people choose to come back to. No feed. No followers. No performance. Just a private space for reflection.
Trust is what produces honest disclosure.
Structure
Every reflection becomes part of a structured emotional record grounded in a clinically informed framework. Mood, energy, intensity, context, and emotional movement are captured consistently over time.
Understanding comes from patterns, not isolated moments.
Safeguard
Emotional data deserves a higher standard of care. Patent-pending Safety Orchestration helps identify sensitive moments, while configurable privacy controls and scrubbing layers remove personal information before export.
Privacy and safety are foundational, not optional.
Where emotional understanding begins.
Every reflection helps someone better understand what they feel. Together, those reflections create a deeper understanding of how humans experience emotion over time.
A private place to notice what you feel.
Letheia is a free emotional support experience available on iOS, Android, and Apple Watch. People use it to reflect, process emotions, build self-awareness, and better understand themselves.
The relationship comes first.
Every emotional insight, reflection, and check-in exists to help the person using it. The structured emotional understanding that emerges is a byproduct of that relationship, not the reason it exists.
The app helps people. The understanding helps everyone.
See the consumer experience ↗The next generation of AI will need a deeper understanding of people.
Today's models understand language. Tomorrow's models will need to understand emotion, context, and how people change over time.
The open internet contains words. Letheia captures emotional experience.
Whether you're building foundation models, conducting research, or exploring emotionally aware systems, we'd love to talk.