THE PROTOCOL

An IoT breath-training wearable with AI coaching. Most people breathe incorrectly, governing anxiety and performance. æœss is the "Peloton for Breathing" — a medical-grade nasal wearable that digitizes the diaphragm.

FIG 1.0: PROBLEM

INVISIBLE DYSFUNCTION

> Shallow Breathing detected

Existing solutions (apps) are passive. No hardware feedback loop.

FIG 1.1: SOLUTION

VISIBLE COMPLIANCE

> Real-time Airflow Metrics

Dual optical sensors measure pressure. AI acts as a physical coach.

HARDWARE_ARCHITECTURE

The journey from concept to working prototype involved multiple iterations of geometry, sensor integration, and miniaturization.

REV A: MVP V2

CORE ASSEMBLY

Early prototype with primitive pressure sensing.

REV B: FORM FACTOR

ERGONOMICS

Device + Charging Case geometry.

REV C: SENSOR ARRAY

OPTICAL SENSORS

Dual emission sensors for airflow velocity.

REV D: PCB

ELECTRONICS LAYOUT

Custom PCB design for nasal bridge fit.

AI_COACHING_LAYER

REAL-TIME GUIDANCE

Voice-guided exercises correcting form, pace, and rhythm. "Breathe slower. Engage diaphragm."

PATTERN RECOGNITION

Algorithms to detect stress markers and sleep apnea precursors in raw signal data.

DEVELOPMENT_LOG

PHASE 1

CONCEPT & RESEARCH
Researched resistance breathing mechanics and airflow measurement. Established core hypothesis.

PHASE 2

MVP PROTOTYPING
Built hardware with pressure sensing. Tested nasal insert geometries.

PHASE 3

APP ARCHITECTURE
Developed BLE protocol. Designed data pipeline for signal processing.

PHASE 4

PRODUCTION DESIGN
Industrial design for manufacturing. Pitch deck creation. Project archived for Evatar.

DATA_BANK

Access restricted project files and documentation.

FILE_NAME	TYPE	DESCRIPTION	ACTION
NVYR_PITCH_DECK_FINAL	PDF	Complete investor deck with market analysis.	DOWNLOAD
BRAND_IDENTITY	PDF	Logo, colors, typography.	ACCESS
SIGNAL_RESEARCH	PDF	Mathematical modeling of breath signals.	ACCESS