Continuous Health Intelligence

Turn continuous vital data into clinically useful signal.

Mandzo is a health intelligence platform designed to transform continuous vital data into actionable, personalized guidance for individuals, caregivers, providers, and care programs.

We unify blood pressure, SpO2, CGM, heart rate, sleep, and activity into one longitudinal context, surface explainable AI-generated insights for provider review where applicable, and close the loop with daily guidance.

Mandzo supports wellness experiences and clinician-supervised workflows. It does not diagnose disease, prescribe treatment, or replace medical judgment.

The Mandzo Loop

Continuous sensing. Explainable interpretation. Provider-connected action.

1. Capture

Multi-device vitals, sleep, steps, recovery, and meal context.

2. Interpret

Trend analysis, sustained-condition logic, and cross-vital validation.

3. Respond

Personalized coaching plus structured summaries back into care workflows.

Differentiation

The wedge is not device integration. It is transforming noisy home data into actionable signal across wellness, recovery, and clinician-supervised care.

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Signal families unified

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Hour monitoring context

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Closed-loop care surfaces

Designed For

Built for people, programs, and conditions that benefit from continuous monitoring.

Mandzo supports general wellness and recovery experiences while also fitting clinician-supervised workflows for chronic conditions, sleep-related pathways, and home monitoring programs.

Everyday wellness

General fitness, recovery, sleep quality, training readiness, adherence support, and preventive cardiometabolic awareness.

General fitness Recovery Sleep quality Preventive health

Chronic care pathways

Programs focused on hypertension, diabetes, cardiovascular risk, and post-acute recovery where trends over time matter more than isolated readings.

Hypertension Diabetes Cardiometabolic care Post-acute recovery

Home monitoring support

Sleep health, sleep apnea support pathways, pulse oximetry oversight, home oxygen monitoring, and clinician-supervised oxygen titration workflows where implemented.

Sleep health Sleep apnea support SpO2 monitoring Home oxygen workflows
The Gap

Healthcare has more home data than ever, but too little actionable context.

Today’s care remains episodic, reactive, and disconnected from real-world health data. Devices capture numbers, yet people rarely receive continuous guidance and providers still get more noise than usable signal.

Episodic care

Clinical visibility still depends on visits, even when deterioration begins days earlier in the home.

Reactive alerts

Threshold-only notifications create fatigue, escalations come late, and teams lose trust in the stream.

Siloed devices

Blood pressure, CGM, wearables, SpO2, and activity data live in disconnected tools with no shared longitudinal narrative.

Guidance gap

People see charts, not next steps. Providers see raw data, not structured summaries that fit workflow.

Interactive Product Experience

A future workflow built around actionable signal, not dashboard noise.

This walkthrough shows the Mandzo product vision: one shared intelligence layer across vitals, behavior, monitoring logic, and personalized coach plans.

Mandzo future workflow mock showing unified health context
Interactive SVG Walkthrough

One intelligence layer for every vital.

Continuous BP, SpO2, CGM, HR, sleep, and activity streams are unified into one longitudinal view individuals and care teams can act on.

Scene 1 of 4
Closed-Loop Care

Mandzo connects person-level health data, AI-generated insights, and care workflows into one loop.

The platform aggregates multi-device data, analyzes risk signals continuously, generates personalized guidance, and shares structured summaries back into provider systems and EHR workflows where implemented.

Individual layer

Connected BP monitors, CGMs, pulse oximeters, smartwatches, sleep platforms, and activity streams feed a single longitudinal health timeline.

Intelligence layer

Multi-modal analysis combines biometrics, behavior, trend shifts, and longitudinal response patterns into AI-generated insights for provider review.

Provider layer

Clinicians receive summarized signal, suggested next actions, and workflow-friendly visibility instead of raw unfiltered noise.

Device and workflow integration fabric

Mandzo is designed to connect across Omron, Abbott Libre, Dexcom, Apple Health, Garmin, Withings, and provider ecosystems that need decision support rather than another isolated dashboard.

Omron Abbott Libre Dexcom Apple Health Garmin Withings EHR workflow summaries
Why Mandzo Wins

Three product decisions create real differentiation.

1. Multi-modal intelligence

Mandzo does not stop at vitals. It combines biometrics, sleep, steps, recovery, and longitudinal behavioral context to understand what is actually driving change.

2. Closed-loop care

Patients receive daily guidance. Providers receive summarized insights. Each response feeds the next recommendation cycle instead of disappearing into a device app.

3. Actionable guidance

Not “your BP is high.” Instead: signal interpretation, likely drivers, and a concrete plan for the week across sodium, meals, movement, sleep, and adherence.

Traditional RPM tools

  • Collect data
  • Trigger alert fatigue
  • Leave interpretation to overburdened teams

Mandzo

  • Turns home data into clinically useful signal
  • Supports daily guidance and provider visibility where applicable
  • Fits remote monitoring and decision-support workflows
Roadmap

What is live now, and what is deliberately marked as coming soon.

Now Live In Vision

Multi-device health intelligence, graph exploration, configurable monitoring logic, and consumer and care-program coaching surfaces.

Coming Soon

Provider workflow automation, structured EHR delivery, and deeper cohort summarization for care teams and payer programs.

Coming Soon

Meal-aware coaching, recovery plans, and medically governed safeguard logic tuned to program goals and member preferences.

Early Access

Mandzo is opening pilot conversations with care programs and enterprise partners.

If you are building chronic care, post-acute recovery, remote monitoring, or preventive health workflows, we would love to show the product vision and discuss pilot design.