Measure cough as an objective clinical finding

Hyfe AI detects and tracks cough in real-time, remotely and at scale 

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Detect & Quantify Cough

Use Hyfe AI to monitor cough remotely at scale, on any device.

Talk to a COUGH expert
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Features

Measure Cough in the Real World

Hyfe AI can be deployed on any smart device for reliable cough detection and tracking at scale. 

Works reliably in the real world

Hyfe's AI models are trained on the world's most comprehensive dataset of coughs sounds

Feature

Works reliably in the real world

Hyfe's AI models are trained on the world's most comprehensive dataset of coughs sounds

Close icon. Hyfe - Our powerful AI detects and records every cough

Our proprietary dataset of cough sounds contains almost 400 million sound samples, all of them collected in the real world, across almost every country and every socio-demographic segment. This is why our models are outperforming every other model on the market and our cough detection is as good as or even better than the human ear.

Track cough patterns over time

Our powerful AI detects and records every cough, passively, while running in the background.

Feature

Track cough patterns over time

Our powerful AI detects and records every cough, passively, while running in the background.

Close icon. Hyfe - Our powerful AI detects and records every cough

While the medical value of cough tracking has long been recognized as a critically important tool in patient care and public health, until recently technology has lagged behind the need for effective cough monitoring solutions.

Hyfe changes all of that. Our models detect 99% of all coughs throughout the day, in the real world, unlocking an unprecedented level of insight into cough patterns and their significance.


Easy to integrate

Our models can be easily integrated into any wearable, smart device or software stack

Feature

Easy to integrate

Our models can be easily integrated into any wearable, smart device or software stack

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Hyfe's models run on any smart device and can be integrated into firmware, apps or any software stack. They require minimum power or computational resources and no additional infrastructure or dependencies.


Privacy Preserving

Hyfe models run on device using edge computing. No data leaves the device

Feature

Privacy Preserving

Hyfe models run on device using edge computing. No data leaves the device

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Hyfe models run on device and no data leaves the device, minimizing data privacy concerns

Cost Effective

Integrating Hyfe capabilities at scale is cost effective

Feature

Cost Effective

Integrating Hyfe capabilities at scale is cost effective

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Hyfe models are priced competitively and it is fast and cost effective to integrate them

Works reliably in the real world

Hyfe's AI models are trained on the world's most comprehensive dataset of coughs sounds

Works reliably in the real world

Hyfe's AI models are trained on the world's most comprehensive dataset of coughs sounds

Track cough patterns over time

Our powerful AI detects and records every cough, passively, while running in the background.

Track cough patterns over time

Our powerful AI detects and records every cough, passively, while running in the background.

Easy to integrate

Our models can be easily integrated into any wearable, smart device or software stack

Easy to integrate

Our models can be easily integrated into any wearable, smart device or software stack

Privacy Preserving

Hyfe models run on device using edge computing. No data leaves the device

Privacy Preserving

Hyfe models run on device using edge computing. No data leaves the device

Cost Effective

Integrating Hyfe capabilities at scale is cost effective

Cost Effective

Integrating Hyfe capabilities at scale is cost effective

Collaboration

Our Research Partnerships

All over the world

Map image where Hyfe is working and has partners. Hyfe - Acoustic epidemiology is the next frontier in healthcare

CRCHUM & CPAS institutes

Multi-Drug Resistant TB

Vietnam

Rapid Research in Diagnostics Development for TB Network

TB

Vietnam

John Hopkins University

TB

India

World Health Partners

TB

Bihar, India

Geneva University Hospitals (HUG)

Pediatric Bronchiolitis

Geneva, Switzerland

Hospital de Navarra

COVID-19 other respiratory diseases

Navarra-Pamplona, Spain

Sewanee University

COVID-19

Navarra-Pamplona, Spain

CRCHUM & McGill University

COVID-19 and Cystic Fibrosis

Montreal, Canada

New York University

RCC

New York, USA

University of Pittsburgh

TB

Pittsburgh, USA

University of Navarra

Malaria

Mozambique

University of Minnesota

RCC

Minnesota, USA

Fudan University

TB

Shanghai, China

Asan Medical Center

RCC

Korea

ARCIM institute

Pediatric bronchiolitis

Germany

John Hunter Hospital

Asthma

New South Wales, Australia

University of Montreal (CRCHUM)

COVID-19

Brazil

University of Hull

GERd

Hull, UK

FEND

RCC

USA

PAI Life Sciences

NTM

Seattle, USA

Oregon Health Science University

NTM

Oregon, USA

Hospital del Sol

COVID-19

Spain

Rapid Research in Diagnostics Development for TB Network

TB

Uganda

Rapid Research in Diagnostics Development for TB Network

TB

Gambia

Imperial College London

RCC

UK

McGill University

CHF

USA

UF-EPI (Glenn Morris)

COVID-19

Florida, USA

John Hopkins University

TB

Uganda

Montreal (CRCHUM) & McGill University

TB

Peru

The University of Montreal Hospital Research Centre (CRCHUM)

TB

Madagascar

The University of Montreal Hospital Research Centre (CRCHUM)

TB

Tanzania

Rapid Research in Diagnostics Development for TB Network

TB

Phillippines

Rapid Research in Diagnostics Development for TB Network

TB

South Africa

Rapid Research in Diagnostics Development for TB Network

TB

India

Ribeirao Medical School

Pediatric RCC

Brazil

,

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Country

University

,

Test dot

Country

Testimonials
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Simon Grandjean Lapierre

Infectious diseases physician, molecular biologist, innovator, TB researcher and advocate. Assistant professor @CRCHUM.
“Cough is a hallmark symptom of tuberculosis, triggering a patients’ entry in TB screening programs and cascade of care. For the first time, we can objectively detect, monitor and classify cough sounds and learn how to use of this data rich symptom to its full potential.’”

Carlos Chaccour, MD Internist MSc PhD

Assistant research professor
ISGlobal Barcelona Institute for Global Health - Campus Clinic
Hospital Clínic - Universitat de Barcelona
Image of partner Carlos Chaccour. Hyfe - Creating tools for diagnostics and monitoring
"If they don't call you crazy at the beginning then it is not innovative enough. Hyfe is CRAZY in all caps. That's why it will forever change the way we do epidemiology and patient care"
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