AI Research & Systems

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.

Multimodal Inputs
Voice & Language
Vision
Behavior
Activity
Environment
Wearables / Signals
Memory
Interaction History
Context
EMMI Intelligence Field · Evolving Human State
Reasoning & Adaptation
Adaptive Action
Personalization
Assistance
Response
Recommendation

“From multimodal signals to continuous contextual understanding.”

Closed-loop perception · Human state modeling · Adaptive reasoning

WHAT IT IS

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.

System Architecture · Continuous Processing Sequence
01Signal Ingestion

Perceive

Voice, vision, behavior, activity and environmental signals.

02Latent Synthesis

Fuse

Combine heterogeneous signals into a unified contextual representation.

03Human State Model

Understand

Infer evolving dimensions such as emotional state, stress, energy, attention, engagement and intent.

04Contextual Inference

Reason

Consider current state, context, history and objectives together.

05Action Generation

Adapt

Adjust responses and actions according to what the system understands.

WHY IT MATTERS

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.

ARCHITECTURAL COMPARISON·EPISODIC VS. CONTINUOUS INTELLIGENCE
EMMI RESEARCH MODEL
TRADITIONAL (EPISODIC)Single input, single output.No memory of what came before.INPUTPrompt(Isolated)MODELInference(No persistent context)OUTPUTResponse(Terminates)No contextNo stateNo adaptationNo memoryInteraction endsEMMIMultimodal signals, evolving context,human state and adaptive intelligence.SIGNALSReal-world inputs(Multimodal)CONTEXTFusion & understanding(What is happening?)STATEEvolving human state(How are you?)REASONINGDecision making(What should happen?)ACTIONAdaptive response(Personalized)
Voice
Vision
Behavior
Activity
Environment
Wearables
Memory
History
Context
Contextual Fusion

Combine heterogeneous signals into a unified contextual representation.

Latent Human State
• Emotion
• Engagement
• Stress
• Intent
• Energy
• Cognitive Load
• Attention
• Behavioral Pattern
Contextual Reasoning

Consider state, context, history and objectives together.

Adaptive Action

Respond, assist or automate based on current understanding.

Response
Recommendation
Assistance
Personalization
Automation
STATE FEEDBACKNew signals · State update · Personalization · Long-term memory
UNDERSTAND · ADAPT · A MORE YOU
WHAT WE EVALUATE

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.

01DIMENSION

EMOTIONAL STATE

EmotionValenceArousal

What is the emotional character and intensity of the current state?

02DIMENSION

INTERNAL STATE

StressEnergyCognitive Load

What level of activation, strain and mental demand is present?

03DIMENSION

ATTENTION & BEHAVIOR

AttentionEngagementMotivationBehavioral State

How is the person participating and responding?

04DIMENSION

CONTEXT & CHANGE

IntentContextTemporal TrendPersonal BaselineConfidence

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.”

Building intelligence that understands more.

Collaboration

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.

AI · ML · SYSTEMS · DESIGN · RESEARCH · PRODUCT