Precision Medicine × Elite Sport

OPTIMIZE YOUR
BLUEPRINT.
PERFORM.

Athlotype gives sports teams and their physicians a complete genetic picture of how each athlete's body processes drugs, recovers from injury, and responds to treatment — before a single pill is prescribed.

35+
Clinically validated genes
Lifetime saliva sample
200+
FDA-recognized gene-drug pairs
CYP2D6 CYP2C9 CYP1A2 COMT ACTN3 MTHFR VDR
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The Problem

Every athlete is
treated the same.
None of them are.

Sports medicine still runs on population averages. The same NSAID dose. The same post-surgical opioid protocol. The same caffeine recommendation — for every player on the roster, regardless of biology.

Every athlete metabolizes medications differently due to genetic variation. A player with the CYP2C9 poor metabolizer variant accumulates NSAID levels 3–5× higher than average on a standard dose, compounding to potential long-term kidney damage. A CYP2D6 ultra-rapid metabolizer given standard codeine after ACL surgery converts it to dangerous morphine levels. These are not edge cases — ~30% of athletes carry at least one clinically significant pharmacogenomic variant.

"Two athletes on the same ibuprofen dose can have blood levels 5× apart due to a single genetic variant in CYP2C9. One is under-treated. The other is quietly damaging their kidneys."

Drug dosing is guesswork

Standard doses were designed for a fictional average patient. Genetic variation causes people to metabolize the same drug at rates that differ by 5–60× between individuals.

Genomic tools exist — but aren't connected

Pharmacogenomics has FDA recognition and CPIC clinical guidelines covering 100+ gene-drug pairs. None of this is being applied in professional sports medicine.

Current tools are reactive

Platforms like InsightRX use blood data to adjust doses after a drug is started. Athlotype tells you the right dose before the first pill — then refines continuously.

No platform the athlete can trust

Existing tools give data to teams, not athletes. Athlotype is built differently: athletes own their genomic data and control exactly what's shared, with whom, and for how long.

How It Works

Three layers.
One workflow.

A single saliva sample powers a lifetime of more precise medical decisions. No repeat testing. No guessing.

01
Step 01

One-time genomic profile

At onboarding, the athlete provides a saliva sample. Athlotype coordinates with a CLIA-certified lab to analyze 35 pharmacogenomically relevant genes using a targeted panel — primers designed specifically for those loci. No full genome is sequenced or stored. Results return within 48–72 hours and are stored permanently in the platform. This happens once per athlete, ever.

02
Step 02

AI recommendation engine

When the team physician makes a treatment decision — post-game NSAID protocol, pre-surgery opioid planning, recovery intervention, supplement protocol — Athlotype surfaces the relevant genomic context and a plain-language recommendation grounded in CPIC clinical guidelines and the athlete's specific variants.

03
Step 03

Continuous learning

As athletes accumulate drug exposures and outcome data, Athlotype learns which interventions work for which genomic profiles. Every athlete sequenced makes recommendations smarter for everyone. This is the data flywheel that makes Athlotype more valuable over time.

The Genomic Panel

35 genes. 7 domains.
One sample.

Athlotype doesn't look at everything — it looks at exactly the right things. Every gene in the panel has a specific clinical application in sports medicine. We do not screen for injury predisposition, disease risk, or anything that could affect an athlete's career or insurability. That's a deliberate design choice, not a limitation.

The panel covers only pharmacogenomic and physiologically actionable variants. What's analyzed, what's excluded, and why — explained to every athlete in plain language before they consent.

💊
9 genes

Drug Metabolism

CYP2D6, CYP2C9, CYP1A2...

How the body processes NSAIDs, opioids, caffeine, cardiac medications, antidepressants. The core pharmacogenomic layer.

🔥
7 genes

Anti-Inflammatory Response

IL-6, TNF-α, CRP...

How strongly the body generates and resolves inflammation after exercise or injury. Governs NSAID response and recovery protocols.

8 genes

Recovery Capacity

PPARGC1A, MCT1, SOD2...

Mitochondrial efficiency, lactate clearance, antioxidant capacity. How quickly the body genuinely recovers between intense efforts.

2 genes

Caffeine & Stimulants

CYP1A2, ADORA2A

Whether caffeine is genuinely ergogenic for this athlete, at what dose and time — or whether it disrupts sleep with no performance benefit.

🧠
4 genes

Neurology & Pain

COMT, APOE, BDNF...

Pain sensitivity, stress resilience, cognitive performance under pressure. Critical for opioid dosing and return-to-play decisions after concussion.

🫀
8 genes

Performance Physiology

ACE, ACTN3, VEGF...

VO₂max ceiling, muscle fiber architecture, cardiovascular adaptation, altitude training response. Informs training load design.

🥦
6 genes

Nutrition & Supplements

VDR, HFE, MTHFR...

Vitamin D receptor function, iron metabolism, lactose tolerance, folate processing. Why the same supplement stack produces different results for different athletes.

🚫
Not analyzed · Ever

Explicitly Excluded

COL1A1, COL5A1, disease risk...

Injury predisposition genes, disease risk variants, longevity markers, or anything that could affect contract negotiations or insurability. Athletes have a right not to know this — and we agree.

Who We Serve

Built for
elite sport.

Athlotype starts where the need is clearest, the willingness to pay is highest, and the sales cycle is fastest. Professional sports teams can move in weeks. Hospitals take years.

🏈

NFL

Every game matters. High injury rate means constant drug exposure. Pre-season physicals create a natural onboarding moment for sequencing all 53 roster players at once.

Opioid safety NSAID protocols Concussion recovery
🏀

NBA

82 games plus playoffs, heavy travel, constant NSAID and recovery drug use across a 7-month grind. High player salaries make the ROI conversation trivial. Sophisticated analytics culture already exists.

Caffeine optimization Recovery windows Sleep protocol

MLB

162-game season across 6 months. Pain management during a marathon season is the biggest unmet need. Chronic NSAID use in pitching arms creates real kidney risk without genomic guidance.

Chronic NSAID safety Pitcher arm health Season durability

MLS & European Leagues

Global expansion opportunity. European clubs invest heavily in sports science. Player longevity is a primary club asset.

Anti-doping clarity Transfer physicals Squad rotation
🥊

Combat Sports

Extreme weight cutting involves medications with high genomic variability. Fighters are motivated and regulatory bodies want tools that improve medical safety.

Weight cut safety Diuretic metabolism Anesthesia planning
🏅

Olympic Programs

National governing bodies have centralized decision-making. A single NGB deal covers an entire sport and signals credibility globally.

Altitude training Multi-sport coverage Anti-doping
🎓

Coming next: Collegiate programs

NCAA programs represent a uniquely compelling market. 4-year roster turnover creates recurring sequencing revenue built into the natural rhythm of each sport. 350 Division I basketball programs at $40K each represents $14M in addressable ARR — before football.

Athlete Data Rights

Your genome.
Your data.
Your call.

Athlotype is built on a simple principle: the athlete is not a data source. They are a person who owns their most personal information and decides what happens with it.

What we promise

  • Participation is always voluntary

    Saying no requires zero action. No form, no explanation, no conversation. An athlete who doesn't participate simply doesn't open the app. Their medical care is identical to what it was before Athlotype existed. Nothing changes. No pressure.

  • You own your data, permanently

    When you change teams, your genomic profile belongs to you — not your former team. You can authorize your new physician to access it, or keep it private. If you revoke consent, your data is deleted from Athlotype's systems. Not archived. Deleted.

  • Physicians only — never front offices

    Your genomic data is accessible only to the team physician you designate, for medical care decisions only. The GM, coach, or agent cannot see it. This isn't just a policy — it's technically enforced in the platform architecture.

  • We explain everything before you consent

    Not a 40-page terms of service. A plain-language explanation of every gene being analyzed, why it matters, and what it means for your medical care — in a way that actually makes sense.

  • Your data travels with your career

    Sequenced at your first team? That profile is yours forever. Authorize your next team's physician to access it — or don't. One saliva sample, one lifetime of portable genomic health data.

What we will never do

  • Screen for injury predisposition

    Genes like COL1A1 and COL5A1 affect connective tissue structure. We don't analyze them. An athlete has a right not to know information that could affect their career.

  • Share data with team management

    The team pays the subscription. That doesn't buy them your data. The commercial relationship and the medical relationship are completely separate, and that separation is enforced in code.

  • Use your data for research without explicit consent

    De-identified data may eventually be used for research — but only with a separate, specific opt-in. Participation in Athlotype does not automatically include research consent.

  • Make it hard to say no or revoke

    Revocation is one button. Immediate. Triggers data deletion. No retention period, no grace window. Your choice is final and irreversible on our end.

  • Sequence anything outside the 35-gene panel

    No full genome. No disease risk. No ancestry. No anything beyond what has direct clinical utility for your medical care.

The Moat

Gets smarter
with every
athlete.

1 2 3 4 5 DATA FLYWHEEL Athlete sequenced Genomic prior Drug prescribed Outcome captured Model improves
01

Unique dataset

Every consenting athlete generates a labeled training example: genome → drug → dose → outcome. Linked to real clinical outcomes in elite athletes. This dataset doesn't exist anywhere at scale today.

02

Compounding value

After 10,000 athletes, Athlotype's model is significantly better than anything a new entrant can build from scratch. The switching cost compounds: teams that have used the platform for 3 years have richer profiles than any alternative can offer.

03

Career portability creates network effects

Athletes carry their genomic profile across teams. A player sequenced at their first team arrives at their next team already in the system. Every trade and free agency signing grows the network.

Pricing

Simple pricing.
Scales with your roster.

One flat annual fee per team. Covers the full platform — onboarding, genomic profiling, physician decision support, and ongoing recommendations. No per-query charges, no hidden costs.

Professional
NFL
$175K/yr
~69 athletes on roster
Professional
MLB
$150K/yr
~40 athletes on roster
Professional
NHL
$120K/yr
~26 athletes on roster
Professional
NBA / MLS
$100K/yr
15–30 athletes on roster
Collegiate
NCAA Football
$75K/yr
~120 athletes on roster
Collegiate
NCAA Basketball
$40K/yr
~13 athletes on roster
The team pays the platform fee. The athlete owns their data. These are separate relationships by design.
The Team

Built at the intersection
of genomics, AI,
and elite sport.

JF
Jack Fenn
Founder & CEO
UCSF AICD3 Program — M.S. in AI and Computational Drug Discovery
  • Trained in population PK/PD modeling including NONMEM and Pirana — the tools precision dosing runs on
  • Stanford exchange: Deep Learning in Genomics and Biomedicine (CS 273B)
  • Research at Varosync: mining FDA Adverse Drug Reaction datasets to identify molecular toxicity patterns
  • LabCorp internship: firsthand experience with clinical lab data pipelines
  • UCSF Innovation Ventures: reimbursement landscape analysis and regulatory strategy for clinical AI devices
  • NEXT.BIO SF Tech Week Hackathon Winner
Clinical Advisory Board

We are building our clinical advisory board. If you are a sports medicine physician or pharmacogenomics researcher interested in shaping the future of precision sports medicine, we want to hear from you.

UCSF · San Francisco, CA
Early Access

The right drug.
The right dose.
First time.

Athlotype is in early development. We're partnering with forward-thinking sports medicine physicians and teams who want to build this together.

UCSF AICD3 · San Francisco, CA · 2026