The WellPath Approach

WellPath is a precision health platform that brings clinicians and patients together around a shared, data-driven framework for improving long-term health. It combines clinical-grade lab monitoring, continuous biometric tracking, and structured behavioral change into a single system — designed not just to collect data, but to act on it.

At its core, WellPath operates on a simple premise: lasting health improvement requires both clinical oversight and daily behavioral support. A clinician sets the direction. The patient does the work. And an intelligent system connects the two — continuously, transparently, and with accountability built in.

Clinician-Driven

WellPath is not a consumer wellness app. Every patient journey begins with a clinician — a physician or nurse practitioner at a concierge or direct primary care (DPC) practice — who reviews intake data, assigns personalized goals, and monitors progress throughout. The clinician portal gives providers a complete, real-time view of each patient's behavioral data, lab results, and adherence patterns, enabling faster clinical decisions and more meaningful conversations at every visit.

Built for Behavioral Change

Tracking data is easy. Changing behavior is hard. WellPath is designed around the science of habit formation and sustained adherence:

• Personalization from day one. During onboarding, patients establish baselines across seven health pillars — what they currently do, not what they should do. This creates a realistic starting point that respects where each person is.
• Structured goal cycles. Rather than open-ended directives, WellPath operates in defined cycles with clear phases. Progress compounds from one cycle to the next.
• Daily accountability. Patients see their progress every day — not just steps and calories, but the WellPath Score: a comprehensive, real-time measure of how their daily choices map to their specific goals across every health pillar.
• Clinician oversight with full transparency. Clinicians can see exactly what patients see. There are no black boxes. When a patient struggles with a goal, the clinician knows — and can intervene, adjust, or encourage based on real data.

Central to the entire experience is the WellPath Score — a single, dynamic number that reflects a patient's overall health engagement across all seven pillars: nutrition, sleep, movement, substances, mental health, core care, and advanced protocols.

The score is not a vanity metric. It is composed of individual pillar scores, each built from behavioral score components that map directly to the patient's active goals and tracked data. Every food logged, every night of sleep recorded, every workout completed feeds into a transparent scoring chain that patients and clinicians can drill into at any level.

The score updates in real time as data flows in — giving patients immediate feedback on their choices and giving clinicians an at-a-glance view of engagement and progress.

Health is not a destination. WellPath structures improvement as a series of cycles, each building on the last.

Cycle 1: Getting Started

The first cycle follows a straightforward path:

1. 1.Onboarding — The patient completes baselines, syncs Apple Health, and gets oriented to the app.
2. 2.Goal Setting — The clinician reviews AI-generated recommendations, customizes targets, and pushes an approved plan to the patient.
3. 3.Active Phase — The patient tracks daily behaviors, works toward goals, and receives coaching. The clinician monitors adherence and progress in real time.
4. 4.Retrospective — At cycle end, a comprehensive retrospective is generated covering lab and biometric starting points, recommendations activated, adherence patterns, and measurable improvements.

Cycles 2+: Where the Compounding Begins

Every subsequent cycle starts with a checkpoint phase — a structured reassessment that generates a retrospective of the previous cycle. This retrospective provides a comprehensive overview: lab and biometric starting points versus endpoints, which recommendations were activated, adherence rates, and measurable improvements to labs, biometrics, and behaviors.

From there, the cycle continues:

1. 1.Checkpoint — Baselines are revisited and pre-populated based on actual logged data, weighted toward the most recent weeks and months. The patient confirms or adjusts. A full retrospective of the prior cycle is generated.
2. 2.Goal Setting — Now informed by not just current baselines and clinical data, but trends over time: what worked for this specific patient, what didn't, and — drawing from the system's growing understanding — what types of goals drive the best adherence and the most clinical change across all patients.
3. 3.Active Phase — New goals build on previous progress. Targets may be more ambitious, more refined, or shifted to new focus areas based on retrospective insights.

This is where WellPath's value compounds. Each cycle doesn't start from zero — it starts from everything the system has learned about the patient and about health behavior in general.

WellPath tracks three distinct categories of health data, each serving a different purpose in the clinical picture.

Labs (Biomarkers)

Periodic blood panels covering cardiovascular health, metabolic function, inflammation, hormones, kidney function, vitamins, iron status, thyroid function, and more — 59 blood biomarkers for female patients, 58 for male patients (progesterone is female-only), plus 4 biological age measures across 11 clinical categories. These are the clinical anchors: objective markers that reveal what behavioral data cannot.

For a complete list, see Biomarkers We Track.

Biometrics

Continuous and periodic physical measurements — heart rate, blood pressure, body composition, grip strength, VO2 max, and more. Many flow automatically through Apple Health integration; others require clinical equipment like DEXA scans or InBody assessments.

Behaviors

The richest layer of data. WellPath tracks daily behaviors across all seven health pillars — every meal logged, every workout completed, sleep patterns, hydration, supplement intake, and more. This behavioral data feeds directly into scoring, goal tracking, and the AI coaching engine.

Baselines are the entry point for behavioral data. Rather than subjecting patients to a long, boring survey, WellPath uses baselines as an interactive onboarding experience that introduces patients to the app's functionality while collecting meaningful data. Patients answer questions about their current habits — typical daily protein intake, usual bedtime, weekly exercise frequency, caffeine consumption patterns — in a format that is both trackable and directly translatable to real data points in the system.

Baselines are not static. In checkpoint phases of cycles 2 and beyond, they are revisited and pre-populated based on actual trend data from the patient's logged behavior, with weighted averaging that emphasizes the most recent weeks and months leading up to cycle end. This means baselines evolve to reflect reality, not memory.

WellPath's AI engine, Chiron, is not a chatbot bolted onto a health app. It is deeply integrated across the entire patient journey — from the first onboarding question to the weekly meal plan to the nudge that arrives at exactly the right moment.

Trained on Clinical Evidence

Chiron draws from a curated repository of clinical evidence — peer-reviewed studies, meta-analyses, systematic reviews, and clinical consensus guidelines. This is combined with WellPath's own educational content library, ensuring every recommendation, explanation, and suggestion is grounded in real science, not marketing claims.

Intelligence Across the Chain

Chiron operates through specialized agents, each designed for a specific function:

Onboarding Intelligence

• Estimates nutrient intake from dietary patterns described in plain language
• Guides purpose discovery to connect health goals with personal motivation

Recommendation Pipeline

• Assembles candidate recommendations from the clinical evidence base
• Personalizes recommendations based on the patient's unique profile — their baselines, lab results, demographics, and current goals
• Suggests cohesive plans that balance ambition with adherence
• Pushes approved plans to patients with clear explanations of what, why, and how

Active Coaching

• Sends timely, contextual nudges based on goal progress and daily patterns — not generic reminders, but specific encouragements tied to what the patient is actually working on
• Provides on-demand Q&A about health topics, goals, and recommendations — with full awareness of the patient's data and clinical context
• Delivers personalized educational content matched to the patient's current focus areas
• Creates and manages challenges that push patients beyond their comfort zone in structured, achievable ways

Plan Generation

• Builds weekly nutrition plans with specific meals, portions, and timing
• Generates shopping lists aligned to the meal plan
• Creates workout plans tailored to the patient's movement goals and baseline fitness

Food Logging

• Processes natural-language food descriptions into structured nutritional data
• Handles complex meals, restaurant orders, and packaged foods with contextual intelligence
• Leverages barcode scanning with web search for packaged food identification
• Supports image recognition for meal logging — while not perfect, results can be iteratively refined by editing portions, components, and ingredients after the initial recognition

For Clinicians: The Web Portal

The clinician portal is where clinical decisions happen. Each patient's page is organized into focused sections:

Patient Management & Data Entry

A complete view of every patient's data with the ability to enter clinical measurements — lab results, biometrics, and baseline observations — alongside a live view of what the patient is filling in on their end during onboarding.

Goal Setting

The most powerful part of the clinician experience. The AI assembles, personalizes, and suggests goal recommendations. Clinicians can then fully customize every aspect: frequency, specific targets, preferred times, ramping schedules that gradually increase difficulty, and more. Once satisfied, the clinician reviews the plan with the patient and pushes it live to the mobile app.

Active Goals

A live operational view of the patient's current plan. Clinicians see real-time adherence data for every active goal, can schedule and activate new goals mid-cycle, pause goals that need adjustment, and end goals that are no longer appropriate. This is where day-to-day clinical oversight happens.

Data

A live view of everything the patient has entered in the app and everything synced from Apple Health — behavioral scores, lab trends, biometric measurements, food logs, sleep data, and more — all presented together for clinical context.

Education

Built on the belief that building knowledge in a topic area improves adherence. This section shows the patient's assigned articles and allows clinicians to assign additional educational content to specific patients or their entire panel.

Messaging

Seamless communication tools that integrate with the patient's daily experience in the app.

For Patients: The Mobile App

The mobile app is where daily engagement happens — and it is far more than a data tracker.

WellPath Score

The home screen centers on the WellPath Score — the patient's real-time composite health engagement score with pillar-level breakdowns that update as data flows in throughout the day.

Goals

A rich goals experience including a goal list with daily and weekly targets, detailed goal views with progress tracking, the Coach Center for AI-powered coaching interactions, Chiron Chat for on-demand health Q&A, and structured challenges that push patients to grow.

My Data

A comprehensive personal health dashboard — every metric the patient tracks, organized by pillar, with charts, trends, and historical views. Labs, biometrics, and behavioral data all in one place.

Learn

A personalized education library that evolves with the patient's journey. Articles are assigned by clinicians and matched to the patient's current goals and focus areas.

Plans

Weekly nutrition and workout plans generated by Chiron, complete with meal details, portions, shopping lists, and scheduling.

Quick Entry & Tracking

Guided food logging with natural language, barcode scanning, and image recognition. Apple Health sync for automatic biometric and activity data. Manual entry for anything the system doesn't capture automatically.