Our Aim
We aim to improve the nurses' diagnostic scope, reduce test lead time and increase accuracy while shifting the point of final diagnosis and treatment to primary healthcare facilities. Ultimately, improving public care while reducing expenditure.
Our Solution
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
The field of AI has experienced huge advancements in computer vision, we leverage this technology by converting our sound files to image like spectrograms. Using state of the art deep neural networks we are able to clinically classify bodily sounds.
Local Processing Unit
Artificial Intelligence
Artificial Intelligence
Our local processing unit executes the AI model locally, allowing offline use. Connection to a cloud-based patient registry enables model updates and verification. The display guides users on how and where to record patient's bodily sounds.
Digital Stethoscope
Artificial Intelligence
Digital Stethoscope
Our wireless digital stethoscope captures the patients lung sounds. The device is fitted with active noise cancelling technology to accommodate use in crowded public clinic environments.
The Team
Braden van Breda (CEO)
Braden van Breda (CEO)
Braden van Breda (CEO)
MSc Eng. Mech, BEng Mechatronics
Johan Coetzee (CTO)
Braden van Breda (CEO)
Braden van Breda (CEO)
MSc Biomaterials, BTech Chem Eng.
Mark van Breda (COO)
Braden van Breda (CEO)
Mark van Breda (COO)
BSc Eng. Elec.
Trusted by
