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.
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.
0
Signal families unified
0
Hour monitoring context
0
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 fitnessRecoverySleep qualityPreventive health
Chronic care pathways
Programs focused on hypertension, diabetes, cardiovascular risk, and post-acute
recovery where trends over time matter more than isolated readings.
Sleep health, sleep apnea support pathways, pulse oximetry oversight, home oxygen
monitoring, and clinician-supervised oxygen titration workflows where implemented.
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.
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.
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.
Important Use Note
Mandzo is designed to support wellness experiences and clinician-supervised care
programs. It does not diagnose disease, prescribe treatment, or replace licensed
medical judgment. Disease-specific monitoring, sleep-apnea-related workflows, home
oxygen management, and provider integrations depend on implementation scope, device
authorization status, and applicable regulatory requirements.