We are accelerating the world’s transition to non-invasive monitoring of chronic conditions.

BOYDSense is developing non-invasive and affordable tools for measuring critical biomarkers via exhaled breath. Breath-based metabolomics focuses on volatile organic compound (VOC) biomarker patterns in human breath.

BOYDSense’s first product under development, the Lassie breath analyser (g-Sense Breath Meter), is an affordable handheld device that will allow consumers to frequently measure blood glucose concentrations without worry of cost, pain, or social stigma. Frequent measurements will allow users to identify glucose trends and avoid hypo/hyperglycemic spikes.

Beyond diabetes, the BOYDSense platform will allow consumers and healthcare providers to use breath as a medium to detect and monitor other diseases such as cancer, obesity, asthma and more in a truly non-invasive and affordable manner.

BOYDSense and the Advancement of Breath-based Health Monitoring

BOYDSense Company and Product Milestones


2015 – 1

BOYDSense is founded with a mission of introducing consumer technology for non-invasive monitoring and diagnosis


2016 – 2

Executive & product development team recruited including Chief Science Officer and VP of Product Management



Glucose monitoring for diabetes targeted as first condition to revolutionize with breath-based sensing


2018 – 1

Advisory board is formed with med tech and healthcare industry leaders


2018 – 2

Completes first large scale clinical study and demonstrates accuracy of breath-based sensor to predict glucose levels


2018 – 3

Develops first hand-held, portable breath analysis prototype for glucose monitoring


2018 – 4

Completes to-scale model of final form factor device: portable, handheld, pocket-sized


2018 -5

Files multiple patents on portable breath analysis meter for glucose application


2019 – 1

Completes successful lab testing of prototype, demonstrating blood glucose prediction on par with industry standards


2019 – 2

Finishes version one of global algorithm for predicting blood glucose from exhaled breath



Data gathering and clinical studies