Nafasy.AI

Patented sound AI technology that screens for respiratory diseases in seconds

Nafasy.AI

Screening respiratory diseases in seconds

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The Challenge 

There are over 15 billion cases of respiratory infections globally each year, yet tracking and early detection remain woefully insufficient. Traditional diagnostic methods take hours to days for results, cost patients significantly, and require clinical infrastructure that is inaccessible to most of the world's population. In MENA and developing regions, respiratory diseases are further compounded by poor air quality, dust, mass gatherings like Hajj, and high population density at global transit hubs. The result is chronic underreporting, delayed treatment, and preventable spread of infectious disease.

The Solution

Nafasy.AI has been set up to advance a patented, smartphone-based AI screening tool co-developed by the teams at Virufy and the University of Washington. The technology analyses cough sound patterns to detect respiratory diseases in minutes, at zero cost to the user. The tool has achieved 84% sensitivity and specificity, is backed by a proprietary dataset of 256,600 patient cough and speech samples paired with PCR results, and has been validated through a US Department of Health (BARDA) contract. Unlike conventional testing, this rapid and cost-effective solution requires no equipment, no clinical setting, and no trained personnel, making it instantly deployable anywhere there is a smartphone.

At A Glance 

Sector

Digital health & AI diagnostics

Headquarters

Dubai, UAE | San Francisco, USA | Tokyo, Japan

Technology

Patented AI/ML algorithms

Economic Impact

AI screening at near-zero cost, replacing slow diagnostics
B2B/B2G licensing for real-time disease surveillance
Proprietary dataset of 256,600 patient samples

Social Impact

Accessible respiratory screening requiring only a smartphone
Targets 2.3M patient screenings annually in the UAE
250+ contributors and 50+ partner organisations

Environmental Impact

Real-time disease surveillance to reduce outbreaks
Zero-hardware, zero-waste diagnostic screening
Early detection of COPD, asthma, and lung damage

Leadership

Amil Khanzada

Amil Khanzada

Founder & CEO

Amil Khanzada is a computer scientist, entrepreneur, and PhD candidate at the University of Fukui, Japan. He graduated in the top 5% of his class in Computer Science at UC Berkeley and pursued graduate work in AI and business at Berkeley and Stanford. When the pandemic hit in 2020, he founded Virufy, orchestrating clinical studies and building a global AI research team. He secured a US Department of Health (BARDA) contract, spoke at LEAP 2025, and is a delegate of One Young World.

Prof. Les Atlas

Prof. Les Atlas

Chief Technology Officer

Prof. Les Atlas holds a PhD in Electrical Engineering from Stanford University and is a professor of audio signal processing at the University of Washington. He brings decades of expertise in acoustic signal analysis and machine learning to Nafasy's core technology, overseeing the development of the patented AI algorithms that extract disease-specific patterns from cough audio samples.