Founded by a team of scientists and engineers, auryx builds on a decade of University of Cambridge research at the intersection of machine learning and audio diagnostics. The company’s software analyses acoustic signals from the heart, lungs, and blood flow, allowing microphones already embedded in consumer hardware to capture physiological data in real time – without additional sensors or any change in user behaviour.
The team brings together three complementary strands of research. CEO Erika Bondareva focused on cardiovascular diagnostics from audio signals, while CTO Kayla-Jade Butkow explored how in-ear microphones could be used to measure vital signs. They are joined by Chief Scientific Officer Cecilia Mascolo, Professor of Mobile Systems at the University of Cambridge, who spent more than a decade building the scientific foundation of the field.
"We spent years in research proving that sound carries more health information than anyone had thought to listen for. Auryx exists because we decided it was time to start doing something with this finding beyond the lab. Now we are putting it to work into devices people already wear, making continuous health monitoring something that just happens, without anyone having to think about it."
Most consumer health wearables today rely on optical sensors at the wrist, where motion artefacts limit accuracy. The ear is more stable during everyday activity, and because auryx’s approach is acoustic rather than optical, it can extract a far broader range of physiological signals — including respiratory rate, cardiac output, and blood pressure, in addition to heart rate. The company is initially targeting the global earbud market, with plans to expand to other microphone-equipped devices and health applications over time.
"The founders are among the most qualified people in the world working on health sensing, with a proprietary knowledge base and more than a five-year head start over anyone else attempting this. We believe they are uniquely positioned to build breakthrough software that will transform how health data is collected and evaluated in everyday life and to establish themselves as the global category leader."
