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Circadia Health Tech Stack

FDA-cleared contactless patient monitoring with predictive AI

Medical Equipment Manufacturing Los Angeles, California 51–200 employees Founded 2016 Privately Held

Circadia deploys contactless respiratory monitoring hardware paired with ML-driven clinical analytics to detect patient deterioration hours or days early. The tech stack reveals a predictive-analytics focus: XGBoost, LightGBM, CatBoost, and SHAP dominate the ML layer, while HL7/FHIR and Airflow orchestrate EHR and device-telemetry pipelines. Active projects span time-series modeling, feature engineering, and clinical talent scaling — signaling a company transitioning from device-centric to outcome-prediction platform, with hiring velocity accelerating across engineering and healthcare roles.

Tech Stack 13 technologies

Core StackAWS Apache Airflow MLflow XGBoost LightGBM CatBoost SHAP GCP HL7 FHIR REST SFTP AWS Batch

What Circadia Health Is Building

◆Challenges

Reducing preventable readmissions
Reducing avoidable hospitalizations
Improving senior-care operations
Handling messy high-stakes healthcare data
Scaling backend systems faster than revenue
Performance reliability data integrity security
Device telemetry integration reliability
Scaling clinical talent engine
Building people infrastructure for retention
Expanding nationally across skilled nursing

▲Active Projects

Transform bedside care with ai
Core predictive models
Time-series longitudinal models
Feature pipelines
Ehr integration pipelines
Device telemetry ingestion pipelines
Reliability and throughput design
Build people ops foundation
Build durable clinical talent engine
Onboarding playbooks for new snf facilities

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Engineering

3

Healthcare

2

HR

1

Ops

1

Support

1

Seniority

Director

2

Mid

2

Senior

2

Principal

1

Staff

1

Notable leadership hires: Director of Operations

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About Circadia Health

Circadia manufactures an FDA-cleared contactless monitoring device that detects respiratory rate from up to 8 feet away, enabling early warning for conditions like sepsis, pneumonia, heart failure exacerbations, and falls. The product integrates device telemetry, electronic health records, and predictive models to surface risk alerts through a virtual nursing team. Customers are skilled nursing facilities and acute-care settings where readmission reduction and clinical operations improvement are core metrics. The company is based in Los Angeles and operates in the US and UK; current hiring emphasizes engineering depth (predictive models, pipelines, backend reliability) alongside clinical and operations leadership.

HeadquartersLos Angeles, California

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What is Circadia Health's core technology?

An FDA-cleared contactless monitoring system that detects respiratory rate from up to 8 feet away, combined with ML models (XGBoost, LightGBM, CatBoost) that predict clinical events like sepsis, pneumonia, heart failure, and falls hours or days in advance.

What tech stack does Circadia Health use?

ML models (XGBoost, LightGBM, CatBoost, SHAP), cloud platforms (AWS, GCP), healthcare standards (HL7, FHIR, REST, SFTP), and orchestration (Apache Airflow, AWS Batch, MLflow) for EHR integration and device telemetry pipelines.