Instant Insights
Accelerate Diagnosis – Treat with Certainty
Eupnoos transforms any smartphone into a rapid clinical-grade screener, providing instant clarity on airway obstruction and heart failure, significantly reducing the pathway from symptoms to effective treatment.
ABOUT US
Turn Your Smartphone Into A Powerful Diagnostic Tool
Eupnoos is a diagnostics company dedicated to transforming everyday smartphones into powerful multi-condition screening tools.
Our research and development focus on utilizing acoustic biomarkers and explainable AI to accelerate diagnosis and treatment initiation for cardiopulmonary conditions.
Smart Diagnostics
Rapid Screening
Mobile Simplicity
Early Clarity
THE CHALLENGE
Diagnosing Chronic Breathlessness
Currently, diagnosis of cardiopulmonary conditions like airway obstruction and heart failure is often delayed by months or even years, resulting in missed early intervention opportunities, patient anxiety, unnecessary resource use, and escalating healthcare costs.
Diagnostic Gap
No single test exists to easily determine whether symptoms stem from the heart or lungs.
Missed opportunities
Outcomes suffer as early intervention opportunities are missed.
Delayed Care
Diagnosis is delayed, which means treatment is too—prolonging discomfort and anxiety.
Rising Costs
Costs rise for both healthcare systems and patients due to unnecessary or duplicated testing.
Specialist Cycle
Patients are referred between multiple specialists and must undergo numerous investigations.
HOW IT WORKS
Breathe Better with Eupnoos
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Fast, AI-powered testing using just your breath
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Clear insights for both patients and clinicians
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Accessible anywhere, even on older devices
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Early diagnosis without costly, complex equipment
Watch the video to see Eupnoos in action.
Easy Screening. Rapid Diagnosis. Proven Results.
Our Solution
Fast, Intelligent Screening with Eupnoos
Eupnoos addresses this critical gap by:
Delivering immediate differentiation between airway obstruction and heart failure in under 60 seconds, enabling quick initiation of targeted therapies.
Eliminating reliance on traditional clinical parameters and complex diagnostic equipment, significantly simplifying patient management.
Reducing healthcare resource use by preventing unnecessary diagnostic procedures and specialist referrals.
Utilising explainable, physics-based AI models that provide transparent and accurate diagnostic results without dependence on large or potentially biased datasets.
By streamlining the diagnostic process, Eupnoos empowers clinicians to rapidly identify the correct treatment pathway, improving clinical outcomes and patient quality of life.
WHO IT’S FOR
Designed for Front Lines of Care
Eupnoos is designed to support healthcare professionals and patients by providing fast, reliable answers exactly when and where they’re needed most. Ensuring critical decisions can be made with confidence and clarity in real time.
Primary Customers:
Hospitals, primary care providers, healthcare networks, clinical research organizations (CROs), telehealth service providers, pharmaceutical companies, and big tech health platforms (Apple Health, Google Health).
End Users:
Healthcare professionals (doctors, nurses), community care workers, telehealth practitioners, clinical researchers, and patients across diverse healthcare settings, including community clinics, elder care facilities, workplaces, and home-based care.
OUR TEAM
Meet The Team
Our team merges clinical, technical, and strategic expertise, ensuring synergy across research, product, regulatory, and user experience.
Arshia Gratiot
CEO
Oversees overall vision, product strategy, UX design and business development, leveraging deep-tech entrepreneurship and commercialization experience from mobile/healthcare sectors.
Dr. Deepak Kotak
CMO
Coordinates clinical standards, medtech regulatory pathways, and strategic partnerships, drawing on anesthesia/intensive care expertise and extensive business insight.
Prof Antonius Schneider
CSO
Primary care medicine
Dr. Yordan Raykov
CTO
Statistical machine learning and mathematics
Associate Professor
Dr. Mahdi Shaban
Lead data scientist
Audio signal processing from biological systems and analytics
Dat Ngo
Junior data scientist
Deep learning scientist and software engineer
Chas Sheppard
Head of engineering
Audio signal processing and acoustic engineering
Dr. Graham Hughes
Advisor
U.S. market experience, C—suite exec, Digital Health, recent exit to Nuance, 5 yeas GE Healthcare
Prof Marisa Crespo-Leiro
Advisor
Head, Heart Failure Complexo Hospitalario Universitario A Coruña , Professor of Medicine
Get In Touch
Contact Us
Have questions or want to learn more about how Eupnoos is changing respiratory and cardiac care?
Whether you’re a healthcare provider, researcher, or curious individual, we would love to hear from you.