Smart Lung Monitoring

for pharmaceutical clinical trials


Clairways Technology

Leveraging AI to provide a comprehensive, long-term picture of respiratory health

Ultra-Low Power Sensor

Clairways' ultra-low power wearable acoustic sensor allows for long-term, continuous monitoring of the lungs and airways.

Analytics & Reporting

Summary and trends of various metrics are collated and reported for each patient in an easily digestible format that highlights relevant insights and patterns.

AI Symptom Detection

The core of Clairways technology is on-device machine learning that detects and characterizes respiratory  metrics:

coughing, wheezing, lung sounds, respiratory patterns, heart rate variability, inhaler use


Value for Clinical Trials



lung sounds

respiratory patterns

heart rate variability

inhaler use

Capture Reliable Metrics

Reduce your reliance on effort dependent monitoring and participant journals, which hurt both adherence and data quality.

Reduce Your Trial Duration

Enroll participants faster and determine dosing protocol faster, thereby reducing trial duration.

Enable Your Virtual Trial

Recruit for rare disease studies without geographic restriction and eliminate the high costs of participant trial site visits.

Improve Your Commercialization

Demonstrate your treatment’s impact for payors and prescribers with long-term, continuous, objective participant metrics.


Monitoring Service

The Clairways sensor is adhered to a participant's chest either by a clinician or by the participant

Participants go about their normal lives, while the sensor continuously captures metrics

Easily digestible analytics and summary metrics are transmitted back to the trial


Jeff Bemowski

Co-Founder, CEO

Jeff is experienced in product management, market research, and customer discovery for novel biomedical devices. He previously worked in product management for Endotronix, a Series C funded medical device company. MBA, Tuck School of Business at Dartmouth.

Justice Amoh

Co-Founder, CTO

Justice is a pioneer in embedded systems for stochastic modelling of physiological signals. His focus is on deep neural network models for detecting the onset of symptoms in respiratory diseases. PhD, Thayer School of Engineering at Dartmouth.

Kofi Odame

Scientific Advisor

Kofi is an expert in circuits and systems for wearable devices. He is an Associate Professor of Engineering and the Director of the Analog Lab at Dartmouth College. PhD in Electrical and Computer Engineering, Georgia Institute of Technology.


Partners & Support

Clairways Scores $150k at Techout


Winner of J&J QuickFire Challenge


Featured as New Hampshire Innovators


1st in Dartmouth Pitch Competition


Contact Clairways

Address: Clairways, 16 Cavendish Court, Lebanon, NH, 03766, United States

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© 2020 by Clairways.

This product is not available for sale in the USA or internationally. It has not been approved by the FDA or any other regulatory agency.