Democratize evidence-based health optimization
Today, the gap between what clinical research proves and what people actually do is enormous. Protocol bridges that gap — translating dense peer-reviewed studies into clear, personalized, actionable health protocols.
The problem we're solving
A 55-year-old who wants to optimize their healthspan has to navigate thousands of supplements, dozens of conflicting diet approaches, and an industry that profits from confusion. Even physicians spend limited time on preventive nutrition and supplementation.
Meanwhile, the evidence is there. PubMed contains over 35 million citations. Meta-analyses have established clear effect sizes for interventions like omega-3, resistance training, and Mediterranean diet. The science isn't missing — the synthesis is.
Protocol is a research agent that reads that literature, extracts the quantified effects, and matches them to your specific health profile. The result is a personalized protocol backed by the same studies your doctor would cite — just organized and explained in a way that's actually actionable.
Five principles that define us
These aren't marketing copy. They're constraints we've built into our business model.
Research-first
Every recommendation traces to a PubMed-indexed study. We don't guess, extrapolate, or rely on testimonials.
No conflicts of interest
We don't sell supplements. We don't take affiliate commissions. Our only incentive is your health outcomes.
Personalized, not generic
Your protocol is built from YOUR health profile, not one-size-fits-all advice designed for an average person that doesn't exist.
Transparent methodology
Every impact score shows its source. You can verify every claim. We publish our methods because accountability demands it.
Built for the long term
Protocol is a Temnos company. We're building durable health infrastructure, not chasing trends or the next funding cycle.
Built for trust, not transactions
No supplement sales
We don't sell supplements, take affiliate commissions, or have financial relationships with supplement brands. Our recommendations are driven by evidence, not margin.
No affiliate links
Every product link on Protocol points directly to the source study, not an affiliate retailer. We make money from subscriptions, not from what you buy.
Research-first
Every recommendation traces to a peer-reviewed publication. We include confidence levels (Strong / Moderate / Emerging) so you always know the strength of the evidence.
Transparent methodology
Our research pipeline is documented and open. We publish our methodology — including how we score interventions and handle conflicting studies — because accountability matters.
Moving Beyond Anecdotes: Protocol's Clinical Research Infrastructure
The Problem
Most supplement and lifestyle recommendations are based on isolated studies, often with small sample sizes, limited demographics, and no long-term follow-up. Consumers are left guessing whether a study on 50 college students applies to a 62-year-old with hypertension. The gap between clinical research and real-world applicability has never been wider.
Protocol's Approach — Three Layers of Evidence
Literature Synthesis
Protocol's recommendation engine aggregates research from PubMed, JAMA, Nature, Lancet, and Frontiers — extracting quantified effect sizes, confidence intervals, and study quality metrics. Each recommendation is backed by multiple peer-reviewed sources, not a single study.
Real-World Evidence
As Protocol users track their interventions and outcomes, we build a de-identified, privacy-preserving dataset of real-world health optimization outcomes. We use federated learning — a technique where the AI model learns from aggregate patterns without ever seeing individual user data.
Randomized Controlled Trials at Scale
Protocol is designed as clinical trial infrastructure from the ground up — capable of running adaptive trials, N-of-1 experiments, and fully decentralized studies using consumer wearables and at-home test kits.
- →Design adaptive trials — Automatically adjust dosages, add or remove supplement arms, and reallocate participants to the most promising interventions as data accumulates.
- →Run N-of-1 trials — Personalized experiments where each user alternates between intervention and control periods, measuring their own biomarker responses.
- →Conduct fully decentralized trials — Participants use Protocol at home, with biomarker data from consumer wearables (Apple Watch, Oura Ring, CGMs) and at-home test kits. No clinic visits required.
- →Generate regulatory-ready reports — Automated production of ICH-compliant statistical analyses and safety reports.
Why This Matters
Traditional clinical trials cost $10–50M and take 5–10 years. Protocol's infrastructure can run equivalent studies for a fraction of the cost, with larger and more diverse participant pools, producing results in months instead of years. This is clinical research designed for the pace of modern health innovation.
CMS Lifestyle Medicine Initiative
Protocol has submitted a Letter of Intent for the CMS MAHA ELEVATE program — a $100M federal initiative funding lifestyle medicine interventions for Medicare beneficiaries. We are actively seeking clinical research partners to co-investigate the impact of personalized supplementation protocols on chronic disease outcomes.
Explore Research Partnerships →Who's building Protocol
Andrew Crouse
Founder & CEO
Serial entrepreneur with a background spanning technology, finance, advertising, and hospitality. Andrew founded Protocol after observing the gap between longevity research and what's actually accessible to the people who need it most.
Protocol is building toward a $50M revenue portfolio of ventures designed around the largest wealth concentration in US history: adults 55 and older. Health is the first vertical — because it's the one that matters most.
Built on AI research infrastructure
Protocol's research pipeline is powered by a multi-agent AI infrastructure that queries medical databases, extracts quantified effect sizes from peer-reviewed studies, synthesizes across publications, and produces personalized recommendations — all operating with the rigor of a research team at a fraction of the cost and turnaround time.
This infrastructure is part of what makes Protocol defensible: the same engine that powers user-facing recommendations also powers our research partnerships, enabling Protocol to run at academic rigor and consumer scale simultaneously.
We don't use AI to generate plausible-sounding health content. We use it to read actual studies and extract actual numbers.
A Temnos company
Protocol is a product of Temnos, a portfolio of AI-native ventures targeting high-value opportunities in underserved markets. Temnos provides the shared AI infrastructure, operational expertise, and capital efficiency that lets each venture move quickly without building everything from scratch.
Visit Temnos ↗General inquiries: [email protected]
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