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Emotional Intelligence Infrastructure for Embodied AI

The Emotional Layer
AI Has Been Missing

AI models provide intelligence. Nearu provides presence, empathy, and trust — the layer that turns AI agents into entities people actually bond with.

AI-agnostic
REST API + WebSocket
~1.6s latency
Meet Nearu
2:14 · Nearu introduces herself

Click play to hear Nearu speak

The Problem

Intelligence Without a Soul
Is Just Data Processing

The robotics and AI industry is building brilliance. Nobody is building the emotional layer that makes it human.

Agents are brilliant but cold

Today's AI assistants can answer any question — but they can't read the room. They miss tone, emotion, and human context entirely.

No emotional continuity

Every session resets to zero. No memory of who you are, how you felt, or what matters to you. Engagement drops. Trust never forms.

The missing layer

LLMs provide raw intelligence. Hardware provides presence. But the emotional intelligence layer — empathy, personality, expression — doesn't exist yet.

Our Solution

Meet the
Soul Engine™

Nearu is not an AI model. It's the emotional intelligence infrastructure layer that sits between humans and any intelligent system — giving AI agents the ability to recognize emotion, respond with empathy, develop unique personality over time, and build persistent, evolving relationships.

AI models provide intelligence. Nearu provides presence.

01
Sensing
Vision · Audio · Touch · ToF proximity
Input
02
NearuVibe™
Multi-Channel Emotion Recognition
Core IP
03
Agentic Core
Memory · Identity · Personality Matrix
Memory
04
LLM (AI-Agnostic)
GPT · Claude · Gemini · Local / On-prem
Swappable
05
Embodiment
Micro-expressions · Body language
Output
Technology

NearuVibe™
Emotion Engine

The "limbic system" of the machine. NearuVibe™ intercepts audio and video signals before the LLM — reading human emotion in real time and converting it into an EQ signal that shapes how the agent responds.

Multi-Channel Emotion Recognition
Voice prosody — tone, pitch, volume, pace, tremor. It doesn't just hear "I'm fine" — it hears the tremble that means "I'm not."
Semantic Analysis
Emotional meaning behind the words. Sarcasm, masking, and contradiction between what's said and how it's said.
Facial Expression Recognition
Micro-expressions via lightweight VER model trained on AffectNet (~450K faces). Confidence-weighted fusion with voice channels.
~1.6s
End-to-end latency
3
Independent channels
REST
+ WebSocket API
POST /api/v1/analyze-emotion → response
{
"transcript": "I think we should move forward",

"acoustic_emotion": {
"label": "anxious",
"confidence": 0.84
},

"semantic_emotion": {
"label": "neutral",
"confidence": 0.63
},

"face_emotion": {
"label": "anxious",
"confidence": 0.87
},

"interpreted_emotion": {
"label": "anxious",
"confidence": 0.86,
"state": "elevated",
"evidence_summary": "Voice tremor and facial tension suggest underlying anxiety despite neutral wording."
}
}
AI-Agnostic

Works with Any LLM

Nearu treats the LLM as a swappable brain. Persona, memory, and emotional layer survive model swaps — no rewiring required.

GPT
OpenAI
Claude
Anthropic
Gemini
Google
Llama
Meta
DeepSeek
DeepSeek
Local / On-Prem
Air-gapped support
Live Demo

The Difference Nearu Makes

Same user. Same words. Two completely different experiences. Press Play to see it unfold.

Standard AI Agent
Nearu Onboarding Agent
Standard Agent
Standard Agent
No emotion detection
Nearu Onboarding Agent
Nearu Onboarding Agent
NearuVibe™ monitoring
Step 0 / 2
NearuVibe™ monitoring
Calmness
Anxiety
Frustration
Sadness
Anger
Confidence
Engagement
Surprise
Boredom
Press Play to start the analysis...
Detected emotionWaiting...
Use Cases

Built for Every AI
That Touches Humans

Enterprise

Employee Experience

Avatar guides new hires from day one — contextually aware, emotionally present. Help arrives before the question is asked.

↑ Retention · ↓ Training overhead
EdTech

Learning & Training

Reads frustration and confidence signals — not just clicks — to adapt instruction in the moment. A trainer that feels when you're lost.

↑ Retention · Adaptive pacing
CX / Support

Customer Experience

Maintains active social presence during processing. Fills the silence. Higher CSAT, fewer escalations, deeper trust.

↑ CSAT · ↓ Escalations
Healthcare

Mental Health & Care

EQ layer for remote diagnostic agents — detecting emotional distress and escalating to human care when needed. Empathy at machine scale.

Safer remote care · ↑ Patient trust
Sales & Marketing

Conversion & GTM

Reads buying intent and mirrors the emotional register of a skilled sales rep. Visitors engage longer because they feel genuinely met.

↑ Engagement · ↑ Conversion
Robotics

Companion Robotics

Persistent memory and evolving emotional model. The relationship compounds — building familiarity and trust that drives category loyalty.

Deeper attachment · ↑ Retention
Automotive

In-Car Voice Assistants

Emotion-aware voice AI for the cabin — detects driver stress, fatigue, or frustration and adapts tone and suggestions. Keeps interactions calm and focused for safer, more natural driving.

↑ Driver focus · Safer interactions
Enterprise

Employee Experience

Avatar guides new hires from day one — contextually aware, emotionally present. Help arrives before the question is asked.

↑ Retention · ↓ Training overhead
EdTech

Learning & Training

Reads frustration and confidence signals — not just clicks — to adapt instruction in the moment. A trainer that feels when you're lost.

↑ Retention · Adaptive pacing
CX / Support

Customer Experience

Maintains active social presence during processing. Fills the silence. Higher CSAT, fewer escalations, deeper trust.

↑ CSAT · ↓ Escalations
Healthcare

Mental Health & Care

EQ layer for remote diagnostic agents — detecting emotional distress and escalating to human care when needed. Empathy at machine scale.

Safer remote care · ↑ Patient trust
Sales & Marketing

Conversion & GTM

Reads buying intent and mirrors the emotional register of a skilled sales rep. Visitors engage longer because they feel genuinely met.

↑ Engagement · ↑ Conversion
Robotics

Companion Robotics

Persistent memory and evolving emotional model. The relationship compounds — building familiarity and trust that drives category loyalty.

Deeper attachment · ↑ Retention
Automotive

In-Car Voice Assistants

Emotion-aware voice AI for the cabin — detects driver stress, fatigue, or frustration and adapts tone and suggestions. Keeps interactions calm and focused for safer, more natural driving.

↑ Driver focus · Safer interactions
WHERE WE'RE HEADED

From Tool to
Relationship

The evolution of AI isn't just technical — it's relational. Every generation has moved closer to something people can actually bond with.

2000s – 2010s
Intelligent Tool
  • Rule-based responses
  • Does what it's told
  • No context, no memory
2020 – 2024
LLM Agent
  • Generates language
  • Solves tasks
  • Stateless, no identity
2024 – 2030
Embodied Agent
  • Physical presence
  • Multimodal sensing
  • Still cold, inconsistent
NOW →
Relational Machine
  • Stable identity
  • Emotional responsiveness
  • Trust, retention, bonding

The shift from functional AI to relational AI is the defining product transition of this decade. Empathy is becoming the primary differentiator for user retention in AI.

Competitive Advantage

What Nobody Else Has

Emotion AI Engine

Emotion recognition across multiple channels that processes signals in real time.

AI-Agnostic

Works with any LLM — GPT, Claude, Gemini, local. Persona and emotional layer survive model swaps.

Persistent Memory

Identity and relationship history that carries across sessions. No more reset to zero.

Prosodic EQ

Voice prosody — pitch, pace, tremor — so the system hears how you feel, not just what you say.

3-Channel Fusion

Acoustic, semantic, and facial emotion fused with confidence weighting for higher accuracy.

Structured JSON Output

Clean API response with labels, confidence scores, trend, and evidence summary for every call.

FAQ

Frequently Asked Questions

Get Involved

AI shouldn't feel like a tool.
It should feel like someone.

We're looking for design partners, robotics OEMs, and investors who believe the next frontier of AI is relational.