Cairns Health builds a conversational AI platform for remote patient monitoring that combines LLM-driven interactions (OpenAI, Gemini, Claude) with passive radar-based activity sensing—no wearables required. The tech stack (Java, AWS, Python, PostgreSQL, RAG) reflects a hardware-software hybrid approach, while active projects span LLM infrastructure optimization and GTM expansion into home care and aging-in-place segments. Pain-point data reveals the org is scaling the core AI platform while building marketing function from scratch, suggesting a pre-PMF stage with engineering focus.
Cairns Health operates a digital care companion platform designed for patients with chronic conditions and their care teams. The product uses conversational AI to deliver medication reminders, symptom checks, and behavioral nudges via voice, while a passive radar system monitors heart rate, breathing, and sleep without requiring wearables. The company targets home care and aging-in-place markets with both direct-to-consumer and B2B applications. Founded in 2016 and based in Los Angeles, Cairns is currently a 11–50 person team with engineering-led operations and minimal recent hiring velocity.
Java, AWS, Python, PostgreSQL, RAG, C/C++, Linux, and LLM APIs from OpenAI, Gemini, and Claude. The stack supports conversational AI on the application layer and passive radar sensing integration.
Cairns currently hires exclusively in the United States.