Early concept
Early Concept
Always With You
Smarter. Faster. More Human.
Aura is a Reseach Driven Prototype which aims to develop the less socially disruptive technolgy .
Always Private
Always With you
Always for you
Always for you
Always for you
We carry supercomputers that make us lonelier. Assistants that don't assist. Companions that don't know us. Intelligence without empathy .
Something's missing.
SOHAM DATTA
We carry supercomputers that make us lonelier. Assistants that don't assist. Companions that don't know us. Intelligence without empathy .
Something's missing.
SOHAM DATTA
We carry supercomputers that make us lonelier. Assistants that don't assist. Companions that don't know us. Intelligence without empathy .
Something's missing.
SOHAM DATTA
How It Works
ENGINE
How do you fit memory in aura ? Here's our research approach.
Engine ESP32 S3 Sence
Compact, wearable form factor powered by ESP32 S3 sencefor low-latency inference (<500ms). Designed to operate silently and efficiently, with edge processing for privacy.
Sensor input (mic array)
Battery
Camera
Speaker
Engine ESP32 S3 Sence
Compact, wearable form factor powered by ESP32 S3 sencefor low-latency inference (<500ms). Designed to operate silently and efficiently, with edge processing for privacy.
Sensor input (mic array)
Battery
Camera
Speaker
Early Concept
It's about making us more human .
Current Paradigm
Cloud based AI
Task-oriented
Privacy trade-offs
Limits you
The Shift
Edge-native AI
Emotion-aware
Privacy-preserving
Changing
Aura's Approach
On-device processing
Real-time emotion detection
Zero data collection
Mindful presence
Control
It's about making us more human .
Current Paradigm
Cloud based AI
Task-oriented
Privacy trade-offs
Limits you
The Shift
Edge-native AI
Emotion-aware
Privacy-preserving
Changing
Aura's Approach
On-device processing
Real-time emotion detection
Zero data collection
Mindful presence
Control
It's about making us more human .
Current Paradigm
Cloud based AI
Task-oriented
Privacy trade-offs
Limits you
The Shift
Edge-native AI
Emotion-aware
Privacy-preserving
Changing
Aura's Approach
On-device processing
Real-time emotion detection
Zero data collection
Mindful presence
Control
AI in Action
Software
Discover how powerful smart features turn every action into lasting progress.
R & D
RESEARCH & DEVELOPMENT
How aura is getting shaped
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
Multimodal Intelligence
How does AI process what you see AND hear simultaneously?
Dual-stream architecture on ESP32-S3. Audio-visual fusion at 200ms latency.
85% context accuracy in field tests
1/3
Privacy-First
Can AI be personal without the cloud?
Edge-first processing. Quantized models run locally. Zero telemetry by design.
100% offline mode available
2/3
Battery LifeBattery Life
8+ hours on a wearable AI device?
Deep sleep between captures. Adaptive duty cycling drops power to <0.1mA.
may vary according to usage
3/3
FAQ
Frequently Asked Questions
AURA is still in research and early design exploration.
Here’s what we’re building, testing, and imagining for the future.
What is Aura ?
Aura is an experimental concept exploring emotional intelligence in everyday AI — a wearable system designed to understand tone, mood, and context locally on-device.
Why is even Aura ?
What stage is Aura in right now?
Does Aura rerord or share my data?
Who is building Aura?
What’s the long-term vision for Aura?
Contribute in Reseach
We I'll be Happy to work with you
