12/02/2026
๐๐ผ๐ผ๐๐๐๐ฟ๐ฎ๐ฝ๐ฝ๐ฒ๐ฑ ๐ ๐ฒ๐ฑ๐ง๐ฒ๐ฐ๐ต ๐๐ผ๐๐ป๐ฑ๐ฒ๐ฟ: ๐๐ฑ๐ด๐ฒ ๐๐, ๐๐ฃ๐๐ฃ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป & ๐๐ต๐ฒ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ผ๐ณ ๐ฆ๐น๐ฒ๐ฒ๐ฝ ๐๐ฎ๐๐ฎ | ๐ ๐ฎ๐๐๐ต๐ฒ๐ ๐๐ฎ๐ป๐ฒ๐
In this episode of AI + Data Mastery, Jason Renno sits down with medical device founder Matthew Banet of Haku Technology โ a bootstrapped, profitable team building next-generation sleep and respiratory technology using on-device machine learning and physiological sensing.
After one of the largest CPAP recalls in history, Haku Technology leaned into a hard problem: how do you turn sleep into actionable health data without relying on expensive cloud processing or ongoing monthly data fees?
Matthew explains what it actually takes to build FDA-regulated medical devices, why most consumer wearables cannot be used for diagnosis, how local AI processing works inside cost-constrained hardware, and why he intentionally avoided venture capital to keep the company fast, focused, and aligned with its team.
What youโll learn in this episode:
Why on-device machine learning matters in medical devices
How CPAP machines process overnight sleep data locally
The difference between consumer wearables and FDA-cleared devices
How small teams outperform large medical companies through speed and validation
Creative, cost-efficient clinical trial strategies
Why venture capital can dilute incentives and slow innovation
How Haku Technology builds products without outsourcing or heavy burn
Guest: Matthew Banet, Founder of Haku Technology
Host: Jason Renno
Key topics covered:
AI in healthcare, medical device innovation, sleep technology, CPAP development, FDA clinical trials, regulated healthcare products, on-device AI, bootstrapped startups, medical entrepreneurship, physiological sensing
If you found this episode valuable, please like, subscribe, and share it with someone building or investing in healthcare technology.
In this episode of AI + Data Mastery, Jason Renno sits down with medical device founder Matthew Banet of Haku Technology โ a bootstrapped, profitable team bu...
