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Finnox

EmoraOS

An ecosystem-ready affective interface for human–machine interaction.

Machines that understand people, helping people understand themselves.

EmoraOS emotion state field

Sense

Reads voice, visuals, and environmental signals together.

Understand

Uses context to interpret emotion and intent.

Remember

Keeps relevant preferences and past interactions.

Act

Passes the result to language, interface, or device actions.

How EmoraOS understands and responds

Finnox-V2.0 combines video, audio, physiological signals, scene information and context to understand a person’s current emotional state, then uses a self model and affective world model to analyze intent and likely future action sequences.

01

Multimodal sensing

Read vision, voice, physiology, behavior and surroundings without relying on one signal.

01
02

Affective understanding

Use several cues to interpret current state and intent, while preserving uncertainty.

02
03

Personal memory

With permission, remember personal baselines, preferences and earlier interactions.

03
04

Interaction execution

Pass the result to language, motion, prompts, UI or device feedback.

04
05

Affective SDK

APIs and developer tools for building prototypes and checking how they behave.

05

A closer look at emotional intelligence

Six levels show how sensing, understanding, prediction, empathy and adaptation develop step by step.

EI-L3 · Secondary stage

Prediction

Uses self and affective world models to anticipate intent and next actions

Signal

Subtle and conflicting cues

Context

Sequential context

Agency

Intent prediction

View Research

Kindergarten, elementary, middle school and university are metaphors for capability maturity only. They do not rank the value or intelligence of real children, students or people.

Where EmoraOS could be used

Lumi Cat is a public application case, but the possibilities for EmoraOS extend far beyond it;
these are only a few representative directions.

Lumi Cat affective companion terminal concept

Lumi Cat

A companion prototype for studying long-term memory and embodied interaction.

View Lumi Cat ↗

How Finnox works

We learn from real moments between people, then bring that understanding into the devices they use every day.

Start with real moments

Every conversation, pause and response comes from real interaction shared with consent—not a collection of isolated expression labels.

See the whole person

Voice, expression, movement and surroundings come together, while the system learns how each person communicates differently.

Try it in everyday life

From a first response on screen to cameras, speakers and robots, every step is tested in the situations people actually live in.

Know when to step back

When the answer is uncertain, we say so. Technology should support people without crossing boundaries or making important choices for them.

Need more detail?

The public site covers the direction. Interfaces, SDKs and partnership material are shared after a use review.

If you are exploring a product partnership, investment or diligence, tell us what you need and we will share the material your access allows.