Building intelligence
that understands more.
EMMI is an AI model being developed to understand context, reason across information, perceive its environment, and interact naturally with the world around it.
“From multimodal signals to continuous contextual understanding.”
Closed-loop perception · Human state modeling · Adaptive reasoning
Intelligence built around context, not just conversation.
EMMI is an evolving intelligence system designed to continuously understand multimodal signals, contextual information, and changes in human state. Instead of treating every interaction as an isolated prompt, EMMI is designed to maintain a continuously evolving representation of what is happening — and use that context to determine how it should respond.
Perceive
Voice, vision, behavior, activity and environmental signals.
Fuse
Combine heterogeneous signals into a unified contextual representation.
Understand
Infer evolving dimensions such as emotional state, stress, energy, attention, engagement and intent.
Reason
Consider current state, context, history and objectives together.
Adapt
Adjust responses and actions according to what the system understands.
People don’t exist as prompts.
Human state is continuous. Mood changes. Stress builds. Attention shifts.
EMMI is designed to understand these changes over time—and adapt accordingly.
Understanding mood as a changing human state.
EMMI is designed to evaluate multiple signals and state dimensions rather than reducing mood to a single emotion label.
EMOTIONAL STATE
“What is the emotional character and intensity of the current state?”
INTERNAL STATE
“What level of activation, strain and mental demand is present?”
ATTENTION & BEHAVIOR
“How is the person participating and responding?”
CONTEXT & CHANGE
“What is happening, how is it changing, and how does it compare with the individual's normal state?”
“EMMI does not define mood from a single signal. It is designed to derive contextual state from multiple interacting dimensions and changes over time.”
Want to build EMMI?
EMMI is early. There is a lot we don’t know yet.
That’s why we’re building it openly.
If you want to explore difficult problems in AI, systems, products, or design with us, you’re welcome.