AI-driven contactless patient monitoring with virtual nurse oversight for senior care
Circadia Health pairs an FDA-cleared contactless respiratory monitor with a virtual nursing service that flags patient decline early. Hiring is accelerating and dominated by clinical roles rather than engineering, showing a services-heavy model. The stack combines HL7 v2, FHIR and PointClickCare integrations with gradient-boosting models (XGBoost, LightGBM, CatBoost, SHAP) and LLM agent frameworks like LangGraph, AutoGen and DSPy.
Notable leadership hires: Support Lead
Circadia Health, founded in 2016 and headquartered in Los Angeles, builds a contactless monitoring device that tracks respiratory rate without sensors on the bed or the patient. Clinicians use the readings to anticipate events such as heart failure, COPD exacerbations, pneumonia, sepsis, UTIs and falls. Virtual nurses combine device data with EHR trends to issue round-the-clock risk alerts. The company works with senior-care settings, including skilled nursing facilities and home health. It is privately held, has 51–200 employees, and hires in the United States and United Kingdom.
Circadia runs on AWS, Kubernetes, Snowflake, Python, FastAPI and React. It integrates through HL7 v2, FHIR and PointClickCare, uses Airflow and MLflow for ML pipelines, and builds with LangChain, LangGraph and OpenAI Assistants.
Yes. Hiring is accelerating, and healthcare roles make up most openings, mainly at mid and senior levels. Smaller hiring streams cover engineering, support, HR and sales in the United States and United Kingdom.
Circadia is embedding its intelligence platform into clinical workflows and building AI-powered documentation tools. It is also rolling out an AI care program, bedside integrations and high-volume rounding in skilled nursing facilities.
Other companies in the same industry, closest in size
Circadia Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.