Canary Omnis: The Intelligence Layer for Kidney & Heart Care
Predict risk, understand context, automate care workflows, and continuously monitor patients—in one unified platform.
Three Layers. One Platform.
Predictive Intelligence
AI models forecast readmissions, fluid overload, arrhythmias, AKI, and adverse events before they become clinically visible.
Agentic Co-Pilot
A context-aware workflow engine that prioritizes patients, schedules tasks, sends reminders, and automates care-team actions.
Remote Monitoring (RPM)
Continuous signals from wearable BioZ + ECG, vitals, labs, dialysis logs, and check-ins keep every patient on your radar.
Predictive AI
See what's coming—days earlier.
Readmission Risk
Predicts 30-day hospitalization risk
Fluid Overload Detection
Detects early fluid retention
Arrhythmia Prediction
Forecasts irregular heart rhythms
AKI Early Warning
Flags acute kidney injury risk
Omnis highlights rising risk so teams can intervene sooner.
Agentic Workflows
From prediction to action—automatically.
Daily Caseload Prioritization
Ranks patients needing attention
Context Summaries
Combines vitals, labs, BioZ & ECG
Scheduling & Follow-ups
Books calls, checks, dialysis sessions
Automated Reminders
Sends adherence & follow-up prompts
Care Notes & Tasks
Generates notes and assigns actions
The Co-Pilot automates repetitive coordination so teams can focus on patient care.
Continuous Monitoring Across Wearable + RPM
Real-time intelligence powered by continuous physiological signals and patient-reported inputs.
Wearable Sensor Signals (BioZ + ECG Patch)
Captured automatically from our chest-worn biosensor:
Thoracic Bioimpedance (BioZ)
Continuous fluid status trends
Respiratory Status
Real-time breathing patterns
Continuous ECG
Arrhythmias, HR, HRV
Heart Rate & Variability
Minute-level cardiac insights
Activity & Posture
Movement, sedentary time, overnight patterns
Digital RPM Signals (Patient + EHR + Workflow)
Captured through the Omnis platform (not the wearable):
Daily Check-ins
Symptoms, well-being, fluid intake
Medication Adherence
Reminders, confirmations, missed doses
Dialysis Attendance
Completed, missed, or shortened sessions
Patient-Reported Symptoms
SOB, swelling, fatigue, weight changes
Lab Values & EHR Trends
Creatinine, electrolytes, vitals, notes
All physiologic and behavioral signals feed directly into our predictive models and the Agentic Co-Pilot to enable proactive intervention.
How Omnis Works
Identify
AI detects rising risk.
Prioritize
Co-Pilot ranks who needs attention.
Intervene
Workflows automate outreach and follow-up.
Follow-Up
Continuous monitoring confirms improvement.