Respiro is the first wearable for predictive respiratory health. It is a discrete, wireless device that sits flush to the sternum and actively monitors lung sounds to predict an asthma attack 20-40 minutes before it commences using 100% Edge AI with zero wires.

How does Respiro predict asthma attacks?

Respiro detects acoustic turbulence (Reynolds Number ~2000) at just 15% bronchial constriction. Before airways close, airflow changes from Laminar to Turbulent, creating 'Micro-Wheezes.' Respiro detects these micro-wheezes 20-40 minutes before a full asthma attack, giving patients time to administer medication while airways are still open enough for effective drug penetration.

What is the Golden Window in asthma prediction?

The Golden Window is the critical 20-40 minute period between when Respiro detects micro-wheezes at 15% airway constriction and when a patient would typically feel symptoms at 50% constriction. Humans are biologically poor at sensing internal changes, so this window represents the opportunity for preventative medication.

What is the difference between reactive and predictive asthma management?

Current asthma management is reactive — patients wait for symptoms at 50% airway constriction, when airways are often too constricted for medicine to penetrate effectively. This is the 'Time Trap.' Respiro enables predictive management by detecting the transition from laminar to turbulent airflow at just 15% constriction, 20-40 minutes before symptom onset.

What sensors does Respiro use?

Respiro uses a dual-sensor fusion approach: (1) TE Connectivity Piezoelectric Film for acoustic lung sound detection, which captures turbulence and micro-wheezes, and (2) Velostat force-resistive polymer for chest expansion force tracking. This combination compares lung sound turbulence against chest expansion force for accurate prediction.

What processor does Respiro use?

Respiro runs on the Nordic Semiconductor nRF5340, a dual-core System-on-Chip (SoC). It runs TensorFlow Lite Micro for on-chip feature extraction and lung sound classification. The entire AI model is only 15KB, enabling 100% edge inference with zero cloud dependency.

How does Respiro attach to the body?

Respiro uses biomimetic adhesion technology called 'Gecko-Grip' — a micro-structured dry adhesive that utilizes Van der Waals forces. It is reusable and skin-safe, requiring no medical tape or adhesive patches.

What is the Civil Defense Alarm feature?

The Civil Defense Alarm is Respiro's wake-up protocol designed for deep sleepers experiencing nocturnal asthma. Night mode triggers only when 'Pre-Attack' turbulence is confirmed by the on-chip AI, ensuring no false alarms while protecting patients during sleep.

How much does Respiro cost?

Respiro is offered at $20/month as a Hardware-as-a-Service model, compared to $500+ for traditional wired hospital monitors. This makes continuous predictive respiratory monitoring accessible to a much wider population.

What is Acoustic Prediction technology?

Acoustic Prediction is Respiro's core technology. Before airways close, airflow physics change from Laminar to Turbulent flow. This transition creates 'Micro-Wheezes' — sub-clinical respiratory sounds that are inaudible to humans but detectable by Respiro's piezoelectric sensor. This detection happens at 15% constriction, 20-40 minutes before clinical symptoms manifest.

Who founded Respiro Health?

Respiro Health was founded by three 14-year-old high school students from GEMS Metropole School in Dubai: David Campos (CEO), Çınar Gürsoy (CTO), and Tanishqa Sailendra (CMO). They are 100% technical founders with zero outsourcing.

What is Çınar Gürsoy's background?

Çınar Gürsoy is the CTO of Respiro Health. He built unmanned ground vehicles and co-built 'Product Holmes'. He manages finance and operations. Awards include 1st Place Startup Simulation Winner, Silver Medal Izmir Science Olympiad, Gold Certificate UK Maths Trust (Top Scorer), and DELF A1 Diploma.

What is Tanishqa Sailendra's background?

Tanishqa Sailendra is the CMO of Respiro Health. She built 'Echo' mental health platform, leads user research, clinical outreach and market execution, and was ranked Ei Asset Top 15% UAE. She is a Girls in AI and Forbes Sustainability Summit Alumni, GIC Finalist, and Straight A Student.

What is the ICBHI 2017 dataset?

The ICBHI 2017 (International Conference on Biomedical and Health Informatics) dataset is a benchmark dataset for respiratory sound classification. Respiro's approach has been validated on this dataset, which contains recordings of respiratory sounds including wheezes, crackles, and normal breathing from multiple patients.

What is Respiro's current development stage?

Respiro is currently in Stage 1 (Data Logging): validating the '15% Constriction' hypothesis and collecting clean raw audio data from 5 asthmatic classmates. Stage 2 (Month 2) is Custom Wearable PCB with coin-sized form factor and medical-grade liquid silicone casting. Stage 3 (Month 4) is Alpha Pilot with 20 fully wireless units.

What is the Vigilance Gap?

The Vigilance Gap refers to two psychological burdens of current reactive asthma management: 'Vigilance Fatigue' experienced by parents who must constantly monitor their asthmatic children, and 'Isolation Fear' experienced by adult patients who avoid activities and social situations due to unpredictable asthma attacks.

What is the Economic Gap in asthma monitoring?

The Economic Gap refers to the massive cost disparity in respiratory monitoring. Traditional wired hospital monitors cost $500+ and require clinical settings. Respiro offers continuous predictive monitoring at just $20/month as a Hardware-as-a-Service model, making it 25x more affordable and accessible outside of hospital settings.

What is the Medical Gap in asthma care?

The Medical Gap is the fundamental flaw in current asthma management: it is entirely reactive. Patients and clinicians wait for symptoms (at 50% constriction) rather than predicting and preventing attacks. Respiro addresses this by shifting from reactive to predictive care, validated on the ICBHI 2017 dataset.

How does Respiro use Edge AI?

Respiro runs 100% Edge AI — all inference happens directly on the Nordic nRF5340 chip with zero cloud dependency. The TinyML lung sound classifier is only 15KB, running TensorFlow Lite Micro for on-chip feature extraction and respiratory sound classification. This ensures real-time predictions with no latency, complete data privacy, and no internet requirement.

What is sensor fusion in the context of Respiro?

Sensor fusion in Respiro means combining data from two complementary sensors: the TE Connectivity Piezoelectric Film (which listens for acoustic turbulence in lung sounds) and the Velostat force-resistive polymer (which measures chest expansion force). By comparing lung sound turbulence against chest expansion force, Respiro achieves more accurate prediction than either sensor alone.

What is the Reynolds Number and how does Respiro use it?

The Reynolds Number is a dimensionless quantity in fluid dynamics that predicts flow patterns. At Reynolds Number ~2000, airflow transitions from smooth laminar flow to chaotic turbulent flow. Respiro detects this transition in bronchial airways at 15% constriction, well before patients feel any symptoms, providing a 20-40 minute early warning window.

What is Gecko-Grip technology?

Gecko-Grip is Respiro's biomimetic adhesion technology. It is a micro-structured dry adhesive inspired by gecko feet that uses Van der Waals forces for attachment. Unlike medical adhesive tapes, it is reusable, skin-safe, and does not degrade with repeated use, making it ideal for a daily-wear medical wearable.

TinyML is machine learning optimized for microcontrollers and edge devices with extremely limited compute, memory, and power. Respiro's lung sound classifier is only 15KB — small enough to run on the Nordic nRF5340 SoC. This enables real-time AI inference on-device without any cloud connection, perfect for a wearable medical device that must work 24/7.

How thin and light is the Respiro wearable?

The Respiro wearable weighs just 15 grams and is only 2mm thick, with a coin-sized form factor. It sits flush to the sternum and is designed to be discrete and unnoticeable during daily wear.

What is the Respiro Alpha Pilot?

The Alpha Pilot is Respiro's Stage 3 milestone (Month 4): deploying 20 fully wireless Respiro units for real-world testing. The pilot involves testing the 'Civil Defense' wake-up alarm system on friends and family for 30 consecutive nights to validate nocturnal asthma prediction capabilities.

What PCB does Respiro use?

Respiro uses a custom 4-layer PCB designed in-house, featuring a coin-sized form factor. The board integrates the Nordic nRF5340 SoC, piezoelectric and velostat sensor inputs, BLE antenna, and power management. The device is then encased in medical-grade liquid silicone casting for biocompatibility and durability.

Where is Respiro Health based?

Respiro Health is based in Dubai, United Arab Emirates. The founding team met at GEMS Metropole School and builds all hardware and software in-house with zero outsourcing, using AI-powered workflows and agentic development tools.

What is Respiro's manifesto?

Respiro's manifesto centers on the statement: 'We analyze the silence.' Asthma management is reactive — patients wait for symptoms at 50% constriction. Respiro detects micro-wheezes at 15% constriction before the airway closes, turning the silence before an attack into a life-saving warning signal.

How does Respiro compare to hospital monitors?

Traditional hospital respiratory monitors cost $500+ and require wired connections in clinical settings. Respiro costs $20/month, is fully wireless with Bluetooth Low Energy, weighs only 15g at 2mm thick, runs 100% Edge AI on-chip, and provides continuous monitoring anywhere — not just in hospitals.

Is Respiro suitable for children with asthma?

Yes, Respiro is designed with pediatric asthma patients as a core audience. The device's lightweight 15g design, skin-safe Gecko-Grip adhesion, and non-invasive monitoring make it suitable for children. The Civil Defense Alarm night mode specifically addresses parents' 'Vigilance Fatigue' by automatically alerting when pre-attack turbulence is detected during sleep.

Does Respiro require an internet connection?

No. Respiro runs 100% Edge AI on the Nordic nRF5340 chip. All sensor data processing, feature extraction, and asthma prediction inference happens directly on-device. There is zero cloud dependency, ensuring the device works anywhere, anytime, with complete data privacy.

What is Respiro targeting for Summer 2026?

Respiro is targeting the Y Combinator Summer 2026 batch. The team is sprinting to Demo Day with three milestones: Stage 1 (Now) Data Logging and hypothesis validation, Stage 2 (Month 2) Custom wearable PCB fabrication, and Stage 3 (Month 4) Alpha Pilot with 20 wireless units.

What is Product Holmes?

Product Holmes is a Gemini-powered R&D Agent co-built by David Campos and Çınar Gürsoy. It demonstrates the founding team's deep expertise in agentic AI workflows, which they apply to accelerate Respiro's development processes and out-build incumbent medical device companies.

What is the 'Time Trap' in asthma management?

The 'Time Trap' describes the fundamental problem with reactive asthma care: by the time a patient gasps for air (at 50% constriction), the airways are often too constricted for medicine to penetrate effectively. Respiro escapes this trap by detecting micro-wheezes at 15% constriction, 20-40 minutes early.

What datasets has Respiro been validated on?

Respiro's lung sound classification approach has been validated on the ICBHI 2017 dataset — the International Conference on Biomedical and Health Informatics benchmark dataset for respiratory sound classification, which is widely used in academic research for respiratory audio analysis.

What makes Respiro's sensor combination unique?

Respiro is the only wearable combining acoustic piezoelectric listening with force-resistive expansion tracking. This dual-modality sensor fusion — comparing lung sound turbulence against chest expansion force — provides a unique and more reliable signal for predicting asthma attacks than any single-sensor approach.

How does Respiro handle false alarms?

Respiro's dual-sensor fusion approach (piezoelectric acoustic + velostat force) cross-validates signals to minimize false alarms. The Civil Defense Alarm night mode specifically triggers only when 'Pre-Attack' turbulence is confirmed by the on-chip AI model, ensuring high specificity and minimizing sleep disruption.

What is micro-wheeze detection?

Micro-wheezes are sub-clinical respiratory sounds produced when airflow transitions from laminar to turbulent in partially constricted airways. They occur at approximately 15% bronchial constriction — well before the 50% threshold where patients consciously feel symptoms. Respiro's piezoelectric sensor and TinyML classifier detect these inaudible micro-wheezes in real-time.

What constriction level does Respiro detect?

Respiro detects acoustic turbulence at 15% bronchial constriction, compared to the 50% constriction at which humans typically feel asthma symptoms. This 35 percentage point difference translates to a 20-40 minute early warning window — the 'Golden Window' — for preventative medication.

What is the Nordic nRF5340?

The Nordic Semiconductor nRF5340 is a dual-core System-on-Chip (SoC) used in Respiro. Its dual-core architecture allows one core to handle Bluetooth Low Energy communication while the other runs TensorFlow Lite Micro inference for lung sound classification. It provides the processing power needed for real-time Edge AI in a power-efficient package suitable for a wearable device.

How does Respiro use TensorFlow Lite Micro?

Respiro runs TensorFlow Lite Micro (TFLM) on the Nordic nRF5340's application core. TFLM enables the 15KB lung sound classifier model to perform feature extraction and inference directly on-chip, classifying respiratory sounds in real-time to identify micro-wheezes indicative of impending asthma attacks — all with zero cloud dependency.

What is Velostat and how is it used in Respiro?

Velostat is a pressure-sensitive, force-resistive polymer material. In Respiro, a Velostat sensor measures chest expansion force as the patient breathes. This force data is fused with acoustic data from the piezoelectric sensor to provide a dual-modality signal for more accurate asthma prediction.

What is a piezoelectric film sensor?

A piezoelectric film sensor converts mechanical vibrations (like sound waves) into electrical signals. Respiro uses TE Connectivity Piezoelectric Film placed on the sternum to detect lung sounds, including the subtle micro-wheezes caused by turbulent airflow at 15% bronchial constriction. This is the acoustic sensing component of Respiro's dual-sensor fusion system.

What is Hardware-as-a-Service?

Hardware-as-a-Service (HaaS) is Respiro's business model. Instead of a large upfront purchase, patients pay $20/month for the Respiro wearable device and continuous monitoring service. This makes predictive respiratory health monitoring accessible compared to $500+ traditional hospital monitors.

How many asthma patients are there globally?

Approximately 339 million people worldwide suffer from asthma, and it is the most common chronic disease among children. Respiro aims to serve this massive unmet need by providing affordable, predictive monitoring that shifts asthma care from reactive to preventative.

What is Respiro's competitive advantage?

Respiro is the only wearable combining acoustic piezoelectric listening with force-resistive expansion tracking. Key differentiators: (1) 15% constriction detection vs 50% symptom threshold, (2) 15g weight at 2mm thickness, (3) 100% Edge AI with zero cloud dependency, (4) $20/mo vs $500+ hospital monitors, (5) Gecko-Grip reusable adhesion, and (6) Civil Defense Alarm for nocturnal asthma.

Is Respiro an FDA-approved device?

Respiro is currently in the development and validation stage. The team is collecting clinical audio data and validating the 15% constriction hypothesis. Regulatory approval will be pursued as the product matures through the Alpha Pilot and subsequent clinical stages.

Can I join the Respiro waitlist?

Yes! You can join the Respiro waitlist by visiting respiro-health.org and clicking the 'Join Waitlist' button. You will be among the first to know when Respiro launches. The team promises zero spam — you will only be notified when the product is ready.

We make a discrete, wireless wearable which sits flush to your sternum and actively monitors lung sounds to predict an asthma attack 20-40 minutes before it commences. 100% Edge AI. Zero wires.

The First Wearable
for Predictive
Respiratory Health

Targeting Summer 2026 Batch

Scroll to Explore

Asthma management is reactive. Patients wait for symptoms at 50% constriction.
We analyze the silence.
Detecting micro-wheezes at 15% constriction before the airway closes.

The Problem The Silent Gap

The Medical Gap

Reactive vs Preventative. Validated on ICBHI 2017 dataset.

The Vigilance Gap

Solving 'Vigilance Fatigue' for parents and 'Isolation Fear' for adults.

The Economic Gap

$20/mo Hardware-as-a-Service vs $500+ wired hospital monitors.

The Golden Window

Humans are biologically poor at sensing internal changes. Patients typically feel symptoms at 50% constriction. Respiro detects acoustic turbulence (Reynolds Number ~2000) at just 15% constriction.

Biological Lag

By the time a patient gasps for air, the airways are often too constricted for medicine to penetrate effectively. This is the "Time Trap."

50% Constriction (Symptomatic)

Acoustic Prediction

Before airways close, airflow changes from Laminar to Turbulent. This creates "Micro-Wheezes." We detect this 20-40 minutes early.

15% Constriction (Turbulence)

Technical Stack

The only wearable combining acoustic piezoelectric listening with force-resistive expansion tracking.

Vertical Integration

Sensor Fusion

TE Connectivity Piezo Film + Velostat. Compares lung sound (turbulence) against chest expansion force.

Nordic nRF5340

Dual-core SoC running TensorFlow Lite Micro. Feature extraction and classification on-chip.

Biomimetic Adhesion

Micro-structured dry adhesive (Gecko-Grip). Van der Waals forces. Reusable and skin-safe.

Civil Defense Alarm

Wake-up protocol for deep sleepers. Night mode triggers only when 'Pre-Attack' turbulence is confirmed.

High School Founders.
100% Technical.
Zero Outsourcing.

Batch Summer 2026

We met at Gems Metropole School. We turn blueprints into lifesaving hardware using Antigravity & AI. No external agencies.

"Manufacturers dismiss us as a science fair project. We use that underestimation to out-build incumbents with speed and specialized Agentic AI workflows."

David Campos

CEO • 14y/o

Technical founder. Built the TinyML lung sound classifier (15KB), AI trading bots, AccountGenie, and co-built 'Product Holmes' (Gemini R&D Agent).

GWABYS Best Intrapreneur. Shark Tank Best Speaker. Global Innovation Challenge Finalist.

Çınar Gürsoy

CTO • 14y/o

Built unmanned ground vehicles & co-built 'Product Holmes'. Manages finance & ops. Gold Cert UK Maths Trust (Top Scorer).

1st Place Startup Simulation Winner. Silver Medal Izmir Science Olympiad. DELF A1 Diploma.

Tanishqa Sailendra

CMO • 14y/o

Built 'Echo' mental health platform. Leads user research, clinical outreach & market execution. Ei Asset Top 15% UAE.

Girls in AI & Forbes Sustainability Summit Alumni. GIC Finalist. Straight A Student.

Company Progress

Sprint to Demo Day

Stage 1 • Now

Data Logging

Validating '15% Constriction' hypothesis. Collecting clean raw audio data from 5 asthmatic classmates.

Stage 2 • Month 2

Wearable PCB

Custom 4-layer PCB. Coin-sized form factor. Medical-grade liquid silicone casting.

Stage 3 • Month 4

Alpha Pilot

20 fully wireless units. Testing 'Civil Defense' wake-up alarm on friends/family for 30 nights.

get early access

be the first to know when respiro launches. we'll notify you — zero spam.

Asthma management is reactive. Patients wait for symptoms at 50% constriction. We analyze the silence. Detecting micro-wheezes at 15% constriction before the airway closes.

Asthma management is reactive. Patients wait for symptoms at 50% constriction. We analyze the silence. Detecting micro-wheezes at 15% constriction before the airway closes.

The Medical Gap

The Vigilance Gap

The Economic Gap

The Golden Window

Biological Lag

Acoustic Prediction

Technical Stack

Sensor Fusion

Nordic nRF5340

Biomimetic Adhesion

Civil Defense Alarm

High School Founders. 100% Technical. Zero Outsourcing.

David Campos

Çınar Gürsoy

Tanishqa Sailendra

Company Progress

Data Logging

Wearable PCB

Alpha Pilot

get early access

Asthma management is reactive. Patients wait for symptoms at 50% constriction.
We analyze the silence.
Detecting micro-wheezes at 15% constriction before the airway closes.

Asthma management is reactive. Patients wait for symptoms at 50% constriction.
We analyze the silence.
Detecting micro-wheezes at 15% constriction before the airway closes.

High School Founders.
100% Technical.
Zero Outsourcing.