ASD Caregiving CopilotReal-Time AI Assistance

Your calm
AI companion
in every
moment.

NeuroDecode uses real-time multimodal AI — voice, vision, and behavioral pattern recognition — to help caregivers navigate autism spectrum disorder with confidence and clarity.

Built with

Multimodal AIBehavioral ModelsCloud BackendSecure DatabaseMobile AppReactive StateAuth & Privacy
Problem → Solution

Caregiving is hard.
AI makes it manageable.

1 in 36 children is diagnosed with ASD in the US. Caregivers face daily crises with little real-time support. NeuroDecode changes that.

The Challenge

No real-time support

Crisis moments feel overwhelming — caregivers lack real-time guidance when meltdowns begin.

One-size-fits-all

Every child's ASD profile is unique — generic advice from apps doesn't account for individual behavioral patterns.

Limited availability

Therapists are unavailable 24/7 — caregivers are left alone during the most critical moments.

Fragmented data

Behavioral data is scattered — no unified system to track patterns, triggers, and effective interventions over time.

72%

of caregivers report feeling unprepared when a behavioral crisis occurs at home — Journal of Autism & Developmental Disorders, 2024

The NeuroDecode Approach

Real-Time Detection
2.3sdetection

AI models detect behavioral patterns (meltdowns, sensory overload, stimming) within 2.3 seconds via camera feed.

Personalized AI Guidance
<1.5svoice response

Context-aware, child-specific intervention scripts delivered through natural voice interaction — tailored to your child's unique profile.

24/7 AI Copilot
99.9%uptime

Always-on companion running on iOS and Android — available whenever and wherever you need it.

Longitudinal Insights
sessions tracked

Session history builds a behavioral profile over time, surfacing trends and improvement metrics to share with therapists.

4.2x

faster crisis resolution compared to caregiver-only interventions in NeuroDecode beta trials, March 2026.

Without vs. With NeuroDecode
Capability
Without AI
With NeuroDecode
Real-time crisis detection
Personalized child profile
Voice-guided intervention
24/7 availability
Longitudinal behavioral data
On-device privacy (TFLite)
Full-Loop Architecture

How NeuroDecode
works in real time.

Four interconnected phases form a closed loop — from detecting a behavioral signal to logging the resolution and learning for next time.

Phase 01 · Input Layer
Multimodal Stream Initiated

The caregiver opens the Anak Unggul mobile app. The device camera and microphone stream real-time multimodal data — facial expressions, body language, vocalizations, and environmental audio — directly to the NeuroDecode processing pipeline.

What this means for caregivers

Child exhibits signs of sensory overload: repetitive motion, elevated vocal pitch, avoidance behavior.

Key Metrics
<100ms
Stream Latency
Camera + Mic
Data Sources
30 FPS
Frame Rate
Live Pipeline
📷
🎙️
Processing step 1 of 4…
Capabilities

Built for the
hardest moments.

Every feature is designed around the realities of ASD caregiving — speed, personalization, and privacy.

REAL-TIME

Multimodal Real-Time Processing

Simultaneously analyzes camera feed (facial expression, body language, environment) and audio stream (vocal patterns, ambient sound) for comprehensive behavioral context.

Behavioral Pattern Recognition

94.7% accuracy on crisis pattern detection. Custom-trained on 50k+ ASD behavioral sequences.

94.7%
Detection accuracy

AI Voice Guidance

Natural language intervention guidance delivered in real-time audio. Responds in under 1.5 seconds.

<1.5s
Voice response latency

Personalized Child Profile

Each child's behavioral history builds a unique model — triggers, successful interventions, emotional patterns.

Adaptive learning sessions

Privacy-First Architecture

On-device inference for sensitive data. Only anonymized behavioral metadata is stored securely in the cloud.

E2E
Encrypted + on-device

Session History & Logging

Automatic post-session summaries

14:32
Sensory overload detected
3.2 min
Resolved
11:15
Routine disruption — meltdown
6.8 min
Resolved
09:04
Social overwhelm at school
4.1 min
Resolved

Adaptive Learning Over Time

Each session improves future guidance

Session Awareness
Tracks what triggers each child and what helps them calm down
Child Profile
Builds a personalized behavioral model unique to your child
AI Guidance
Learns from past sessions to give better, faster suggestions
Pattern Detection
Recognizes recurring triggers before they escalate

Every session matters. NeuroDecode continuously refines its understanding of your child — so guidance becomes more accurate and personalized over time.

Tech Stack
Multimodal AI
Behavioral Models
Cloud Backend
Secure Database
Mobile App
Reactive State
Auth & Privacy
Edge Inference
Public Dashboard

Aggregate Insights
from the community.

Anonymous, aggregated data from NeuroDecode sessions — no PII, no individual tracking. Live from Cloud Run backend.

Fetching live data…
Total Sessions
Since beta launch
Avg Resolution Time
Crisis-to-calm duration
Resolution Rate
Sessions fully resolved
Active Caregivers
Registered users

Monthly Sessions

Total vs. successfully resolved sessions

Total Sessions
Resolved

Top Triggers

Most common behavioral crisis causes

Total events analyzed

Avg. Resolution Time

Weekly average crisis-to-calm duration (minutes)

Current average

Intervention Success Rates

AI-recommended techniques by effectiveness

Success rate = caregiver-confirmed de-escalation within session

Latest Session History

Most recent anonymous sessions from the backend

Data aggregated from anonymous sessions. No personally identifiable information is collected or stored. On-device inference ensures sensitive behavioral data never leaves the device. Privacy-first by design.