Dynamic Health Age
38 yrs
Chronological age 42 · 4 years ahead
Heart Rate Variability
84ms
Strong recovery — above personal baseline
Pre-Illness Signal
CLEAR
Multiple signals monitored · all nominal
Member Foresight
90 Day
Forecast layer active · model compounding
Continuous Health Intelligence

Turn health assessments
and wearable data into
continuous intelligence.

VitIQ transforms static health profiles and continuous biometric signals into personalized health intelligence — explaining why the body changed, forecasting what may come next, and identifying the most relevant action for that individual. It is an engine, not a destination app: built to sit beneath an existing brand, login, member relationship, and navigation workflow.

The Category Shift

Wearables captured the signal.
VitIQ unlocks the meaning.

Most health experiences either collect a snapshot or show raw device metrics. VitIQ connects both worlds: static profile context plus continuous biometric interpretation, producing personalized explanation, prediction, and action built from the user’s own history.

Level 01
Display
Charts, graphs, and daily metrics. Raw signals made visible. Necessary infrastructure — but not yet intelligence.
Level 02
Score
Readiness, sleep, recovery, and activity scores. Aggregated signals reduced to an index. Useful — but still limited without personal context.
Level 03
Guide
“Prioritize rest.” “You had a restful night.” Helpful prompts, but often generalized and not deeply calibrated to the user’s own physiology.
Level 04
Predict, Explain & Personalize
Why did the user’s metrics change? What is likely to happen next? What pattern is emerging below the surface? What action makes sense for this person, now? This is where VitIQ operates.
VitIQ
Static Profile → Continuous Intelligence

The missing layer between assessment, navigation, and real-time physiology.

Many health platforms already know who the member is: demographic profile, questionnaire history, benefits eligibility, risk category, care navigation status, and self-reported well-being. VitIQ adds what those systems usually cannot see continuously — how that member’s body is behaving today against their own learned baseline.

Current Platform Strength

Static member understanding

Questionnaires, health-risk assessments, well-being scores, employer or payer eligibility, benefits routing, and population-level reporting create an important snapshot of the member’s history and needs.

VitIQ Extension

Continuous biometric interpretation

Wearable, sleep, recovery, activity, medication, calendar, and connected-device streams become individualized intelligence: what changed, why it may have changed, what is likely next, and what action makes sense now.

Built beneath the existing brand

VitIQ does not require a new consumer destination. It can power the intelligence layer inside an existing member experience, app, care navigation workflow, or employer/payer channel.

From tracked data to routed action

The value is not showing steps, sleep, or HRV. The value is translating those signals into plain-language member guidance and escalation logic that can connect to programs already owned by the platform.

Premium capability for existing channels

Employer, payer, government, and consumer channels can support a continuous intelligence SKU without replacing the existing assessment, engagement, or navigation infrastructure.

The Intelligence Architecture

Not another dashboard. A new layer of health intelligence.

VitIQ is built for ecosystem-scale integration: individualized modeling, personal threshold discovery, health forecasting, and action guidance that compounds with every day of use.

🧬

Personalized Bayesian Reasoning Core

The architecture underneath everything. Each user begins with uninformative priors — no fixed assumptions about their biology. As biometric data accumulates, the reasoning core derives evidence from that individual’s own history. No two users share the same model. The core improves with every day of data, building a compounding picture of each user’s unique physiology across 40+ health domains. This is the infrastructure that makes personalized wearable intelligence possible.

Individualized priors 40+ health domains Monotonic improvement No population norms
🤖

Personalized Advice Layer

The layer that turns foresight into action. Each response is built from the individual’s biometric history, confirmed patterns, and personal thresholds — not a generic knowledge base. When a user asks why recovery is slow, the answer can reference their recovery half-life, stress tipping point, sleep optimum, and recent pattern changes. Not population averages. Their biology. This is how wearables become personal.

Built on personal model Engagement driver
🔮

Multi-Horizon Forecasting

30, 90, and 365-day projections across key biometric metrics with danger threshold detection and timeline. A What-If lifestyle simulator projects the impact of specific behavioral changes using RCT-backed dose-response curves — including life expectancy impact.

📐

Personal Threshold Discovery

What is this individual's optimal sleep duration? Their recovery half-life? Their overtraining threshold? Their stress tipping point? VitIQ mines longitudinal biometric data to find thresholds unique to each user — not population averages. No manual input required.

⚠️

Condition Risk Signal Detection

Multi-signal biometric pattern detection for depression risk, metabolic risk, autonomic instability, post-viral recovery, allostatic load, inflammatory trends, and circadian disruption. Each fuses multiple vital signs and requires statistical confidence thresholds before surfacing.

🧬

Biological Age Engine

Functional health age calculated from VO₂ Max, HRV, walking speed, gait symmetry, cardiorespiratory fitness, and additional biomarkers. Updated daily. Tracks whether interventions are actually working. No laboratory biomarkers required — derived entirely from wearable sensor data.

🔔

Pre-Illness Early Warning

Convergence detection across multiple biometric signals against each user's personal baselines — not population norms. A deviation that indicates illness for one person may be normal for another. This is the fundamental difference between a personalized model and a population-adjusted score.

📋

Clinical Intelligence Layer

Physician-readable health summaries, validated risk frameworks, and 90-day reports formatted for clinical conversations. Positioned as health intelligence and wellness guidance — not diagnosis or treatment — with deployment posture adaptable to partner regulatory strategy.

Full capability set

😴 Sleep Architecture Analysis ❤️ HRV Trend Intelligence 🫁 Respiratory Health Index ⚡ Energy & Recovery Modeling 🧘 Stress Rhythm Detection 🫀 Autonomic Load Index 📊 Food → Biometric Causal Mapping 🔬 Lab Results Integration 🧪 Biomarker Tracking 💊 Medication Impact Analysis 🌍 Exposome Dashboard 🔗 Secure Physician Share Link ⚖️ Weight Intelligence 📅 Long-Horizon Forecasting 🌡️ Circadian Disruption Index 📈 Compounding Daily Model Updates
Health monitoring
⚠️
Pre-illness signal fired — 38 hours before symptoms. Multiple signals converging against personal baseline.
From Tracking to Foresight

Not only what happened.
What it means.

Tracking tells a user their HRV dropped last night. Intelligence explains why it changed, what it may mean for the next seventy-two hours, and how the user’s training, sleep, stress, or recovery context may need to adjust.

VitIQ monitors convergence across multiple biometric signals simultaneously. When patterns emerge that historically precede illness — or peak performance, or a recovery deficit — the system surfaces that signal before the user feels it. Typically 24 to 48 hours ahead.

The category-defining distinction: the same deviation can mean different things for different people. VitIQ interprets each user against their own personal baselines, history, and confirmed patterns.

Health analytics
📐
Optimal sleep duration discovered — 7h 20min produces peak HRV for this user. Population average: 8h.
Personalized, Not Population-Averaged

What's optimal for this
specific person.

Population research says eight hours of sleep. VitIQ says: for this individual, seven hours and twenty minutes produces peak HRV. The recovery half-life after intense exercise is four days, not three. The stress tipping point is five consecutive disrupted nights, not four.

This is what enables guidance that can actually change behavior. A recommendation grounded in the user’s own data — not a generic wellness tip — creates a fundamentally different engagement dynamic. It compounds. Users return because the intelligence becomes increasingly specific to them.

This is where wearable health tracking moves from measurement to meaning.

Clinical reporting
📈
Day 365 model confidence — full personal threshold discovery complete. Foresight accuracy compounds monthly.
Compounding Intelligence

Thirty days is useful.
A year is extraordinary.

Most health platforms deliver their full value at onboarding. VitIQ is the inverse: it gets meaningfully better with every day of data. The reasoning core updates continuously. Personal thresholds sharpen. Forecast accuracy compounds. The longer a user stays, the more irreplaceable the model becomes.

This architecture creates retention that is structurally different from engagement mechanics or notification cadence. Users stay because the intelligence has become theirs. It exists nowhere else and cannot be reconstructed from a different platform.

That is the compounding value proposition — for the user, and for the wearable ecosystem that powers it.

7
Patent applications filedestablishing 2026 priority dates around personalized Bayesian health intelligence
0
Population-first assumptionseach model is designed around the individual’s own biometric history
1,130
Days of validated datalongitudinal biometric dataset used for calibration and threshold tuning
Weeks
Integration windowfrom API connection to intelligence activation on an existing biometric data stream
Enterprise Value

A revenue layer for platforms that already own the member relationship.

VitIQ is strongest where distribution already exists. The architecture is designed to make existing health data, assessments, coaching programs, and navigation contracts more valuable — not to compete with them.

Static well-being becomes a daily intelligence relationship.

Annual or periodic assessments can define the starting point. VitIQ makes that profile continuously alive by adding physiology-based context, real-time personalization, and specific action guidance that can improve engagement, retention, and premium SKU economics.

01 Existing channel, expanded ARPU potential
02 Works below the platform’s brand and UX
03 Converts passive data into routed action
04 Becomes harder to replace as user history compounds

Built for native integration.
Smarter every day.

Hardware-agnostic. No new sensors. No new data collection. Connects to existing biometric pipelines through standard health data frameworks — Apple Health, Google Health Connect, or direct API.

01

Connect Data

API connection to existing biometric pipeline. History pulled immediately. No new hardware. No new data collection.

02

Baselines Build

Each user begins with uninformative priors. Evidence accumulates exclusively from their own data. No population assumptions.

03

Engines Activate

The full intelligence architecture runs continuously. Risk modeling, threshold discovery, condition signals, and forecasting — all parallel.

04

Patterns Confirm

Signals require statistical confidence before surfacing. No alerts until the data earns them. Quality over volume.

05

Intelligence Surfaces

Confirmed patterns reach the user in plain language with specific, actionable context — grounded in their own biology.

06

Compounds Daily

30 days is useful. 90 is powerful. A year of data is extraordinary. Every day improves every model for every user.

Health intelligence
Generated from real biometric data
"Your recovery half-life is 4.2 days — not 3. You've been under-recovering after every hard effort. Your body has been telling you this for months. Now you're reading it."
— VitIQ.ai · Personal threshold discovery · Built from 1,130 days of longitudinal data
Platform-Level Capability

The architecture is built.
The category is ready.

VitIQ is designed for native integration inside an ecosystem that already has the users, data, assessments, navigation workflows, and distribution. It turns passive health tracking into personalized interpretation, prediction, and daily behavioral guidance.

Request Strategic Overview → Platform Architecture
7 USPTO patent applications · 2026 priority dates · Architecture ready for strategic review

IMPORTANT DISCLAIMERS  ·  VitIQ.ai is a personal health intelligence platform intended for informational and wellness purposes only. It is not a medical device, and the information, alerts, pattern detections, and intelligence outputs provided do not constitute medical advice, diagnosis, or treatment. All biometric correlations and health pattern signals are statistical observations derived from personal data — they are not clinical findings and have not been evaluated by the FDA or any regulatory authority. Pre-illness detection identifies patterns that may precede illness in some individuals; it does not guarantee accuracy and should not replace professional medical evaluation. Always consult a qualified healthcare provider before making decisions based on health data. If you are experiencing a medical emergency, call 911 immediately.

Apple Watch, Apple Health, and HealthKit are trademarks of Apple Inc. VitIQ.ai is not affiliated with, endorsed by, or sponsored by Apple Inc. Results vary by individual. Intelligence accuracy improves with continued use and longitudinal data accumulation.