Company Boilerplate

About ImmuneSpan

Short (1 sentence)

ImmuneSpan is an AI-powered immune wellness scoring platform that converts standard bloodwork into a personalized immune age report, calibrated against 128,000+ NHANES participants.

Standard (3 sentences)

ImmuneSpan is an AI-powered immune wellness platform that converts a standard blood panel into a comprehensive Immune Age report — revealing inflammatory phenotype, population age comparison, and personalized wellness protocols. The platform is trained on 128,000+ NHANES participants using a Cox Proportional Hazards survival model with validated immune biomarker signatures, classifying users into one of 12 proprietary immune phenotype archetypes. Founded by Dr. Geoffrey Stone, Ph.D. in Innate Immunology, ImmuneSpan makes elite biological wellness intelligence accessible to every American at a $29 price point — the cost of a single supplement.

Extended (for feature articles)

ImmuneSpan is a consumer wellness technology company that translates standard clinical bloodwork into actionable immune wellness intelligence. The platform’s core engine — ImmuneSpan Engine V23, trained on 128,000+ NHANES participant records — applies a Cox Proportional Hazards survival model to produce a Population Inflammatory Age comparison: a scientifically grounded estimate of how a user’s inflammatory biomarker signature compares to population-level aging norms. Users receive one of 12 immune phenotype archetypes (each named and color-coded), a personalized Methuselah Wellness Score, and phenotype-specific supplement, nutrition, and lifestyle protocols grounded in peer-reviewed research. Founded in 2026 by Dr. Geoffrey Stone, Ph.D. — a researcher in innate immunology and clinical oncology — ImmuneSpan operates under a formal IS-REG compliance framework that classifies all outputs as general wellness education under FDA General Wellness Policy (January 2019). The company is headquartered in the United States and reports are delivered via a HIPAA-compliant, pre-signed AWS S3 architecture. ImmuneSpan is for educational purposes only and is not a medical device, diagnostic tool, or substitute for clinical advice.

Key Facts

ImmuneSpan by the Numbers

128K+
NHANES Records
Engine trained on 128,000+ NHANES participants with survey weights — the largest publicly available immune-aging dataset in the US.
12
Immune Phenotypes
K-means clustering assigns each user one of 12 proprietary archetypes, each representing a distinct pattern of inflammatory aging.
64
Engineered Features
64 biomarker features engineered from a standard CBC + metabolic panel, including NLR, SII, SIRI, Platelet Mass, Anion Gap, and more.
Cox PH
Survival Model
Cox Proportional Hazards with martingale residuals — the same methodology used in peer-reviewed longevity research.
$29
Entry Price Point
Full Snapshot report — the cost of a single supplement. No subscription required.
IS-REG
Compliance Framework
Four-document IS-REG framework establishes FDA General Wellness Policy classification from Day 1 — built before the first customer.
Founder & Leadership

Meet the Founder

Dr. Geoffrey W. Stone, Ph.D. — Founder & Chief Science Officer, ImmuneSpan
Geoffrey W. Stone, Ph.D.
Founder & Chief Science Officer

Dr. Stone’s career spans innate immunology and clinical oncology — two fields that rarely intersect in consumer health technology. His research focus on the Myeloid-Adaptive Bridge — the cellular mechanism by which aging bone marrow shifts from adaptive to myeloid immune cell production — forms the scientific foundation of ImmuneSpan’s scoring methodology.

The founding insight: the neutrophil-to-lymphocyte ratio (NLR) has been validated by over 5,000 peer-reviewed studies as a robust predictor of all-cause mortality and chronic disease risk, yet it appears in every standard annual blood panel and is almost never discussed in routine clinical care. ImmuneSpan was built to close that utility gap.

Dr. Stone built the first version of the ImmuneSpan scoring engine from his own lab results. The V23 engine now runs on 128,000+ NHANES records and produces population-calibrated immune wellness scores with 100 bootstrap iterations for uncertainty quantification.

Innate Immunology Clinical Oncology NHANES Data Modeling Cox PH Survival Modeling ML Biomarker Scoring Epigenetic Age Research
Brand Assets

Logos & Brand Mark

IMMUNESPAN™
Wordmark — Dark Background (PNG) Download
IMMUNESPAN™
Wordmark — Light Background (PNG) Download

For high-resolution print-ready files, custom color formats, or SVG versions, email press@immunespan.com. Do not alter the letterforms, colors, or proportions of the ImmuneSpan wordmark.

The 12 Immune Phenotypes

One of the World’s First Immune Archetype Systems

ImmuneSpan assigns each user one of 12 immune phenotype archetypes — derived from K-means clustering on 64 biomarker features trained on 128,000+ NHANES participants. Each archetype represents a distinct pattern of immune aging with its own primary biological driver and phenotype-specific wellness protocol.

🇹
Amethyst Horse
Mitochondrial dysfunction & NAD+ depletion
🇹
Amber Tiger
IL-6/TNF-α cytokine reactivity
🇹
Saffron Ox
TGF-β fibrotic cascade
🇹
Azure Dragon
HPA axis dysregulation & cortisol fragility
🇹
Rose Goat
Sarcopenic risk & muscle-immune axis
🇹
Argent Rooster
Circadian desync & clock gene dysregulation
🇹
Aurum Monkey
Glycation/AGEs & RAGE pathway activation
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Copper Dog
Chronic SASP-driven sterile inflammation
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Crimson Fox
Oxidative burnout outlier cluster
🇹
Jade Rabbit
Environmental sensitivity & Th2 skew
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Pearl Bear
Metabolic stagnation & insulin resistance
🇹
Midnight Snake
Exhausted viral immune surveillance
Technical Specifications

Engine & Methodology

Specification Detail
Engine Version ImmuneSpan Engine V23.0.0
Training Dataset NHANES (National Health and Nutrition Examination Survey) — 128,000+ participants, multiple survey cycles, probability-weighted
Core Model Cox Proportional Hazards survival model with NHANES survey weights (WTMEC2YR). Outcome: all-cause mortality with follow-up years.
Age Methodology Population Inflammatory Age Comparison — PCA-based nearest-neighbor match to NHANES age-band centroid in biomarker space. Not a biological age clock.
Biomarker Features 64 engineered features from CBC + metabolic panel: NLR, SII, SIRI, PLR, LMR, ELR, Platelet Mass, Hepatic Index, Anion Gap, TRIIM Proxy, and more.
Phenotype Clustering K-means (k=12) with rule-based overrides (HbA1c, FIB-4, NLR/CRP/WBC thresholds)
Uncertainty Quantification 100 bootstrap iterations per report
Regulatory Classification FDA General Wellness Policy (January 2019) — Non-Device, Class 1 Entertainment/Wellness. IS-REG framework IS-REG-001 through IS-REG-004.
Data Architecture HIPAA-compliant. PHI stored in AWS S3 (SSE-KMS, CMK). Pre-signed URLs, 1-hour expiry. No biomarker data sent to external LLM APIs.
Required Input Standard CBC + basic metabolic panel. Minimum: WBC, neutrophil %, lymphocyte %, age, sex. Enriched reporting with CRP, albumin, RDW, glucose, HbA1c.
Founded 2026 | United States
Get In Touch

Press & Media Contact

We respond to all press and media inquiries within one business day. For interview requests, please include your publication, deadline, and the angle you’re pursuing.

Press Inquiries

Media & Editorial

Interview requests, fact-checking, story pitches, data inquiries, embargoed releases.

press@immunespan.com
Partnerships & B2B

Business Development

Corporate wellness programs, longevity clinic integrations, physician partnerships, pharma data licensing inquiries.

partnerships@immunespan.com
Science & Research

Scientific Inquiries

Methodology questions, algorithm documentation requests, research collaboration inquiries. Dr. Stone is available for technical interviews.

science@immunespan.com
General

Customer Support

Report questions, account issues, billing inquiries, technical support for the analysis platform.

support@immunespan.com

Response time: press and science inquiries — 1 business day. Partnership inquiries — 2–3 business days. ImmuneSpan is a general wellness education platform. All reports include required disclaimers that outputs are not medical diagnoses and do not constitute clinical advice.