Exploring what it means for technology to support the inner world.
Most technology is built to help us move faster - process more, organize more, achieve more. Very little is built to help us slow down, listen inward, and understand ourselves more clearly. Human experience is layered and constantly shifting. Standard AI systems respond to text, not to the person behind it.
Our research starts with a simple question: What would it mean for AI to meet people in the depth of their inner experience - calmly, safely, and with attunement?
We explore this question with care, integrity, and scientific discipline.
Creating Space for Inner Work
We think of inner experience as a room we live in, naturally filling with thoughts, feelings, and unfinished threads. Inner work is the process of tending that room: seeing what's there, clearing what no longer helps, and making space for what matters.
Our research explores how technology can create this spaciousness: reducing reactivity, supporting steady attention, and sustaining continuity so insight can unfold. We design with safety, pacing, and autonomy at the core, building environments where people can slow down, meet themselves, and do meaningful inner work.
A new direction for AI
As we deepen our work, a central research question becomes clear: What if AI didn't just process language, but could sense where a person is, adapt how it shows up, and hold a steady, supportive presence?
This guides our exploration of what we call self-attuned models, systems designed to respond not only to what a person says, but to who they are and how they feel.
This is an emerging research direction. It's complex, delicate, and deeply human, and we approach it with humility, scientific rigor, and a strong commitment to safety.