
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

coughing
wheezing
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 placed around a participant's neck 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.

Ricardo Serrano Smith
Embedded Systems Engineering Manager

David Ouma
Mechatronics Engineer

Brian Provost
Embedded Systems Engineer

Paul Hartung
Advisor
Med Devices CEO
Team

Greg Plante
Advisor
Digital Lead, IQVIA

Partners & Support











News

Contact Clairways
Address: Clairways, 16 Cavendish Court, Lebanon, NH, 03766, United States
E-mail: info@clairways.com
