Passive health data visibility, always on
A screenless wearable designed for continuous, passive collection of vital signals. Centralized dashboards for facilities. Remote visibility for families.
Capabilities
Health data visibility infrastructure
Monitoring support designed for individuals, families, and care facilities.
Continuous Data Collection
Passive, screenless wearable designed for uninterrupted vital signal collection without requiring user interaction.
Centralized Facility Dashboard
Real-time data visibility across 100 to 500+ individuals. Configurable views for care teams managing large populations.
Remote Family Access
Families can view health data trends through the mobile app. Stay connected to loved ones in care facilities.
AI Trend Summaries
AI-assisted analysis identifies data patterns and trend insights over time. Summaries designed for review by qualified personnel.
Scalable Infrastructure
Architecture built to support facilities of any size. From small practices to large care networks with centralized oversight.
Privacy-First Design
End-to-end encryption. HIPAA-conscious architecture. User-controlled data retention and access permissions.
Centralized facility dashboard
A single command center for monitoring 100 to 500+ residents. Real-time vital signal visibility, AI-assisted trend summaries, and configurable alert thresholds — designed for nursing homes, assisted living, and memory care facilities.
- Population-wide vital signal overview
- Individual resident drill-down views
- AI trend alerts for care staff
- Shift-based reporting and handoff summaries
- Configurable alert thresholds per resident
Residents
247
Active
231
Attention
12
Offline
4
Mom — Margaret
Sunrise Senior Living, Room 112
All signals normal
Heart Rate
74 bpm
Stable
SpO2
97%
Normal
Temperature
98.1°F
Stable
Sleep
7.8 hrs
Good
Margaret's vitals have been consistent over the past 7 days. Sleep duration improved by 12% this week. Heart rate variability remains within expected range.
Activity — 7 Days
Stay connected to loved ones
The iOS app gives families remote visibility into the health trends of loved ones in care facilities. AI-assisted summaries, real-time vital signal data, and historical trend views — all from your phone.
- Real-time vital signal visibility
- AI-generated weekly trend summaries
- Historical data and pattern tracking
- Push notifications for status changes
- Multiple family member profiles
Data Visibility
What the system observes
Trend insights and health data visibility from passive signal collection.
Heart Rate Trends
Continuous heart rate data collection with trend visualization and pattern detection.
Activity & Movement
Passive activity monitoring for mobility patterns, rest periods, and daily movement trends.
Temperature Trends
Skin temperature data for trend analysis and baseline deviation monitoring.
SpO2 Visibility
Blood oxygen saturation data visibility for trend monitoring and pattern observation.
Sleep Patterns
Sleep duration and quality trend data for circadian rhythm visibility.
Environmental Context
Ambient data correlation for contextualizing health signal variations.
Use Cases
Who uses the monitoring system
Care Facilities
Centralized dashboards for assisted living, memory care, and skilled nursing facilities. Scalable from 100 to 500+ residents.
Families
Remote health data visibility for family members of individuals in care. Mobile app access to trends and AI-assisted summaries.
Individuals
Personal health data visibility with trend tracking, pattern detection, and exportable reports for provider visits.
Why continuous wearables
A face scan can't catch a 3am cardiac event. A wearable can.
The most useful thing a wearable does isn't measure your vitals more accurately than a phone camera could in a single moment. It's measure them again, and again, and again, all day, every night, against your own personal baseline.
The UCSF TemPredict study found Oura Ring detected fever and elevated resting heart rate roughly three days before COVID symptoms. Stanford's Mishra et al. study with Fitbit Charge HR found similar pre-illness signals 1–3 days early. The Apple Heart Study, in 419,297 participants, identified previously undiagnosed atrial fibrillation in 0.5% of users. None of those events would have been caught by a 15-second selfie.
Continuous, not episodic
24/7 passive collection across waking hours and overnight. A face scan only sees the moment you decide to take it.
Catches what you'd miss
Pre-illness fever signals, AFib in your sleep, sustained tachycardia hours before a cardiac event — none visible from a selfie.
Personal baseline
Deviation from your normal matters more than the absolute number. That requires weeks of continuous data — not one snapshot.
| Capability | Continuous Wearable | AI Face Scan App (rPPG) |
|---|---|---|
| Sampling cadence | Continuous, 24/7 passive collection | Episodic — one 15–60 second scan per check-in |
| Signal-to-noise ratio | High — direct skin contact, controlled LED light | Low — ambient lighting, head motion, distance, and skin tone all degrade signal |
| Heart rate accuracy | ~98% vs ECG (chest-strap class) | ~95–98% in good light, drops sharply with motion or low light |
| Overnight HRV and sleep | Captured passively while you sleep | Cannot capture — your eyes are closed |
| Pre-illness early warning | Resting HR, HRV, and skin temperature shifts 1–3 days before symptoms (TemPredict, Mishra et al.) | Cannot detect — only sees the second you scan |
| Atrial fibrillation detection | Continuous monitoring across days/weeks (Apple Heart Study: 0.5% of 419,297) | Single-snapshot screening only |
| Cardiac event warning | Alerts on sustained HR/rhythm deviations as they happen | Cannot warn — by the time you scan, the event has occurred |
| Blood pressure | Trend visibility from PPG waveform features (research-grade) | Not validated to ISO 81060-2; not a substitute for a cuff |
| Blood glucose | Not measured — CGM or fingerstick recommended | Independent reviews report ~66% accuracy; no FDA clearance |
| Bias across skin tones | Less affected — physical contact reduces optical variance | Documented accuracy gaps for darker skin tones in independent reviews |
| User effort per reading | None — passive, no thought required | Active — user must hold phone, sit still, stage lighting |
Integrations
Already wear something? We connect to it.
VitalIQ is built for users who don't already have a wearable — particularly older adults in care settings. For everyone else, the Mother Nature AI iOS app integrates directly with the wearables and clinical record systems you already use, so the same continuous data feeds your AI conversations, family dashboards, and provider-ready exports.
Apple Health
Heart rate, ECG, AFib history, blood oxygen, sleep stages, activity, walking steadiness, and fall events from your Apple Watch and iPhone.
Oura Ring
Sleep architecture, readiness score, body temperature deviation, and HRV trends.
Whoop
Strain, recovery, sleep performance, and journaled lifestyle inputs.
Garmin
Cardiovascular metrics, training load, body battery, and advanced sleep analysis.
Fitbit
Activity, heart rate, sleep stages, and SpO₂ spot-checks.
MyChart and FHIR EHRs
Bloodwork, imaging reports, medication list, immunizations, and visit summaries from Epic-based health systems and other FHIR-compatible providers.
Important Notice
The Mother Nature AI monitoring system collects and displays vital signal data for observational and informational purposes only. It is not a medical device, does not provide diagnoses, and is not intended to replace clinical assessment, professional medical judgment, or emergency response systems. Signal data and AI-generated trend summaries should be reviewed by qualified personnel. The system is not FDA-cleared for diagnostic use. Always consult healthcare professionals for medical decisions.
Interested in the monitoring system?
Contact us to learn about deployment options for your facility or family.
Frequently Asked Questions
What is VitalIQ AI?
VitalIQ AI is Mother Nature AI's continuous health monitoring system. It uses a screenless, contact-based wearable to passively collect vital signals 24/7, with centralized dashboards for care facilities and a mobile app for families.
What data does VitalIQ monitor?
Heart rate, HRV, SpO₂ (blood oxygen), skin temperature, sleep patterns, activity levels, and step count — all continuously and passively.
Who is VitalIQ designed for?
Care facilities monitoring resident health, families wanting remote visibility into a loved one's wellbeing, and individuals seeking continuous passive health tracking — particularly older adults who shouldn't have to wear a smartwatch that demands attention.
Why a wearable instead of an AI face scan?
A face scan is a snapshot — it can only tell you about the second you decide to take a reading. A wearable measures continuously against your personal baseline, which is what catches pre-illness signals (the UCSF TemPredict Oura Ring study detected COVID 3 days before symptoms), undiagnosed AFib (the Apple Heart Study identified it in 0.5% of 419,297 participants), and overnight events that no selfie will ever see. A facial scan is not going to detect a heart attack three hours before it happens.
Does VitalIQ work with Apple Watch, Oura, Whoop, Garmin, or Fitbit?
Yes — the Mother Nature AI platform integrates directly with Apple Health, Oura Ring, Whoop, Garmin, Fitbit, and other major wearables. If you already wear one, your continuous data flows into your health profile automatically. VitalIQ is for users who don't already have a wearable, particularly in care settings.
Does it integrate with MyChart and my doctor's records?
Yes. The platform connects to MyChart and other FHIR-compatible electronic health records, pulling in bloodwork, imaging reports, medication lists, immunizations, and visit summaries. This gives the AI the full picture: continuous baseline vitals plus your most recent labs and your medication stack.
Will Mother Nature AI ever add AI face scanning for vitals?
Yes, when the science catches up to the marketing. Heart rate spot-checks, AFib screening, and skin-condition analysis are close to ready. The headline claims — blood pressure, glucose, '40+ vitals' from a 15-second selfie, a 'digital twin' built from a face scan — aren't yet validated to the accuracy levels required for health decisions, particularly across diverse populations.