ShadowMaker

The name comes from the ancient art of Greek shadow-puppet theater, where silhouettes cast in light carry entire worlds of story and feeling. To “make shadows” is to shape light and form, revealing presence through absence, distilling essence from complexity.

For us, ShadowMaker is both metaphor and mission: reveal the unseen dimensions of human experience. Our technology takes what is hidden – the rhythms of muscle, heart, and motion, as well as ephemeral emotional states – and renders them perceptible, guiding richer interaction between humans and AI. The goal isn’t spectacle; it’s clarity. By shaping the “shadows” of physiology into meaningful patterns, we help AI understand context and behave more responsibly.

Atopia

Origin and meaning. Atopia (ἀτοπία) in Greek literally means “no-place” or “out of place.” In Plato’s Symposium (215a), Alcibiades calls Socrates atopos – so singular he resists category. Later writers and thinkers (from Montaigne to Barthes and Levinas) used the term to point at experiences that slip ordinary labels: the ineffable, the singular, the paradoxical.

Why it fits. Atopia is our hardware platform. It is a modular sensor unit designed to be universal, flexible, and re-placeable anywhere on the body. Atopia sensors aren’t tied to one “proper” location. Instead, they transcend fixed position and open new classes of interactions that don’t yet have a standard name. That’s the spirit of atopia: a platform too unique to be pinned down, a foundation for experiences that are still being invented. They are a complex system designed to capture complex ineffable states – human emotions.

What it enables. Each module can read multiple signals depending on placement and accessory (e.g., motion only, or motion + bioelectrical activity). This “placeless” design makes the system both practical (one standard unit, many uses) and conceptually faithful to atopia: it adapts to the person, the task, and the moment, rather than forcing the person to adapt to the hardware.

EmPath

What is it?

The term “empathy” originates from the Greek word “empatheia,” which means “passion” or “state of emotion.” It is derived from the Greek roots “en” (in) and “pathos” (feeling or suffering).

EmPath is our affect layer for AI. It is software that transforms physiological and contextual signals into affective-state vectors, probable emotional states, and emotion Pathways.

Why the name? The word carries a dual meaning:

• Empathy: the discipline of feeling-with, not guessing-at.
• Path: the guiding track an agent follows.

Together, Em-Path teaches AI to walk alongside us. Not as detached systems, but as companions whose choices are informed by emotional resonance and explicit guardrails. It is a model-agnostic interface layer for context, alignment, and safety.

Why it matters. Human state is nuanced and transient. EmPath doesn’t reduce that nuance to a single label; it encodes it into compact, actionable signals that downstream systems can respect. By coupling bottom-up affect signals with top-down ethical constraints, EmPath helps agents choose actions that are not only effective but appropriate.