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Circadia Health Tech Stack
FDA-cleared contactless vital monitoring with predictive clinical alerts
Circadia Health operates an FDA-cleared contactless monitoring platform deployed in senior-care settings, combining device telemetry ingestion, EHR integration, and ML-driven risk prediction. The tech stack reveals a heavy investment in ML infrastructure (Airflow, MLflow, XGBoost, LightGBM, SHAP) paired with agentic AI (OpenAI Assistants, LangChain, AutoGen), indicating a shift toward autonomous clinical reasoning and alert generation. Hiring velocity is accelerating across engineering, sales, and newly elevated operations leadership — a pattern typical of post-regulatory clearance scaleout into institutional deployments.
Tech Stack 23 technologies
Core StackAWS Apache Airflow MLflow QuickBooks LangChain Kafka Python Node.js TypeScript GCP HL7 FHIR SFTP AWS Batch OpenAI Assistants LangGraph AutoGen DSPy Model Context Protocol XGBoost LightGBM CatBoost SHAP
What Circadia Health Is Building
◆Challenges
- Reducing avoidable hospitalizations
- Reducing rehospitalizations
- Transform senior-care operations
- Scaling backend systems faster than revenue
- Performance reliability data integrity security
- Device telemetry integration reliability
- Ensuring production reliability
- Complex multi-site institutional clients
- High-stakes engagements
- Workflow challenges
▲Active Projects
- Ehr integration pipelines
- Device telemetry ingestion pipelines
- Reliability and throughput design
- Ml pipeline orchestration
- Model deployment on aws batch
- Experiment tracking with mlflow
- Device verification and validation testing
- Clinical testing and real-world data collection
- Product demos at skilled nursing and assisted living facilities
- Onboarding and implementation engagements
Hiring Activity
9 roles · 7 in 30d
Department
Seniority
Notable leadership hires: Director of Operations
Company intelligence
