The health protocol
management system.
Kinosis does not invent biology. It engineers adherence. We exist at the intersection of evidence-based health protocols and frictionless data telemetry.
[SEC_01] The Adherence Problem
Science is not the bottleneck. Daily execution is.
Most health protocols fail not because of flawed science — but because of flawed implementation. The gap between knowing what to do and executing it daily is a major point of failure in preventative medicine.
Current models rely on high-friction data entry or fragmented device silos. Kinosis is designed to be the execution layer — mapping intention to measurable reality, every day.
Patients not taking prescribed medication as directed — rising to 80–100% over extended follow-up. Chapman & Chan, Frontiers in Pharmacology, 2025.
[SEC_02] Capture Telemetry
Friction is the enemy of data.
Every extra cognitive or physical step required to log a health event reduces capture rate. The target for longitudinal health data is passive, continuous, zero-install capture. Kinosis is engineered from the ground up around that principle.
Zero-install. Natural language. Already on your phone.
Mobile App
Fast logging, dashboard & trends.
Smart Nudges
Context-aware check-ins. Weather, patterns, timing.
Device Sync
Oura, WHOOP, Apple Health, Health Connect, Google Health, and lab scans.
[SEC_03] Network Architecture
The Biological Knowledge Graph
Every data point — meal timing, sleep architecture, Zone 2 minutes, mood, symptoms, supplements, biometrics, wearable HRV, and daily environment — is stored as an interconnected node in a per-user health graph. See all 13 tracked categories →
Over continuous epochs, Kinosis runs correlation analysis across the graph to surface personal patterns: the lag between late eating and HRV suppression, the sleep deficit that tracks with next-day fatigue, the supplement stack that correlates with energy peaks.
These are not generic insights. They are yours, derived from your longitudinal data.
FIG 3. CORRELATION ENGINE ARCHITECTURE
A Pearson correlation engine runs across hundreds of dimensions in 13 categories in a rolling 60-day window. Every meaningful variable pair is evaluated: HRV vs. Zone 2 sessions, sleep duration vs. next-day energy, meal timing vs. recovery score, PM2.5 exposure vs. symptom frequency.
A curated heuristic layer detects five evidence-based relationship classes that statistical correlation alone may miss at low data volumes: sleep–mood coupling, exercise–energy coupling, meal timing patterns, day-of-week consistency, and supplement–symptom associations.
// Location-stamped events enable a third correlation axis: where you are when patterns occur — office vs. home, commute stress, altitude, outdoor air quality.
[SEC_04] Quantification Engine
Protocol Adherence
Not a vague wellness metric. Not a subjective mood meter. Protocol Adherence is a strict algorithmic computation of how closely your actual biological behavior matches your stated protocol.
It operates on a blended baseline: 50% of your personal 3-week rolling average, 50% pulled toward evidence-based global targets (7.5h sleep, 150 Zone 2 minutes/week, 3 meals/day, full supplement stack).
The result is a single longitudinal index that surfaces implementation velocity over time — a direct measure of whether your protocol is being followed.
[SEC_05] Biological Record
Longitudinal Health Records
Conventional health applications treat each event entry as an isolated data point. Kinosis persists every captured event as a timestamped node within a growing biological graph. Record depth is the primary determinant of correlation precision — the engine has more to work with as the dataset matures.
LONGITUDINAL RECORD
Continuous biological timeline
Each meal, sleep session, activity, biometric reading, supplement dose, mood entry, and environment snapshot is stored with a precise UTC timestamp and optional GPS coordinates. This timestamped record is the substrate the correlation engine operates on. Record depth directly determines statistical confidence.
PERSISTENT CONTEXT
Full context, indefinitely retained
The system maintains complete historical context across all sessions. This enables temporally-grounded queries against the full record — retrieving HRV trends during a specific supplement cycle, or comparing sleep architecture across dietary phases — without requiring manual annotation or retrospective data entry.
DATA SOVEREIGNTY
Structured, portable, user-controlled
The complete health record is exportable on demand in structured formats (CSV, annotated PDF, machine-readable JSON). Records can be transferred to clinical teams, research collaborators, or independent storage. The platform generates and indexes the data; ownership remains with the individual.
// SCHEMA NOTE
Each stored event carries a structured metadata envelope: event category, magnitude, unit, GPS coordinates, capture confidence score, and data source (manual entry, wearable API, or environment service). This uniform schema makes the record fully machine-queryable without post-hoc tagging, and enables direct temporal reasoning by the AI layer across arbitrarily long time windows.
[SEC_06] Scale Applications
Building Toward a Living Dataset
By improving consumer adherence, Kinosis is building toward a research-grade environment. Longitudinal, multi-variable, real-world — not lab-controlled. We are building the infrastructure for population-scale studies on protocol effectiveness: the 23andMe + Oura + Zoe model, applied to behavioral adherence.
EPIGENETIC AGING
Biomarker mapping across multi-year protocol adherence timelines.
INTERVENTION EFFICACY
Building toward head-to-head protocol comparisons across large real-world cohorts.
ZERO-TRUST PRIVACY
Strictly anonymized. Explicit opt-in only. You own your data.
[SEC_07] Epistemology
Built on Published Science
Kinosis does not invent biology. We provide the structural scaffolding to execute the protocols formulated by established longevity researchers and clinicians.
Mitochondrial Function & Zone 2
Zone 2 training frameworks for metabolic flexibility, fat oxidation, and cardiovascular foundation. One of the best-studied interventions in longevity medicine.
Sleep Architecture
Tracking thermal environment, light exposure timing, and stage-specific sleep markers. Sleep is a primary recovery variable in human performance.
Circadian & Time-Restricted Eating
TRF feeding windows, macro-nutrient timing relative to light exposure, and circadian alignment for metabolic health and longevity.
Systematic Measurement & Stacking
High-frequency clinical measurement, supplement stacking frameworks, and algorithmic protocol iteration — applied to the everyday practitioner.