Presenter

Daniel Habib is the Founder and CEO of KairoSys Applied Intelligence LLC, where he leads the development of an AI-powered tool that translates real-world user feedback into actionable, design-ready insights for medical device teams. KairoSys’s flagship Product Improvement Platform (PIP) addresses a persistent challenge in human factors engineering: extracting meaningful upstream design intelligence from fragmented, unstructured data sources. PIP integrates internal company data with regulatory, patient, and patent data to identify failure patterns and root causes and connect observed usability problems with potential design solutions. The platform enables faster iteration, risk reduction, and more user-centered design decisions earlier in the development lifecycle.
A soon-to-be Otolaryngology-Head and Neck Surgeon, Daniel conducts research spanning surgical outcomes, patient-facing technology, automated medical record abstraction, and patient experiences with medical devices. These perspectives inform KairoSys’s emphasis on aligning engineering decisions with clinical reality, regulatory context, and patient experience. Daniel’s work sits at the intersection of human factors, clinical care, and applied AI, with a focus on closing the loop between real-world use and improved medical device design. Check out his company website: https://www.kairosysai.com.