The biological
operating system
for the human species.
Twelve AI specialists. One adaptive intelligence. A 54,000 sq ft research headquarters with nine in-house science labs and a 256-GPU training cluster. We launched paid subscriptions thirty-three days ago — with zero marketing spend, users have spoken with their wallets:
By Q4 2027 we ship the first integrated nervous system for human performance. By 2031, every Olympic federation trains on it. By 2033, one billion paid subscribers. By 2036, physicians prescribe it as standard of care. This is the last entry under a $500M valuation. Modeled return to 2031 IPO: 333×. Modeled return to 2033: 8,900×+.
Three forces just collided.
The window is months, not years.
AI crossed the coaching threshold.
Frontier models hold context across an entire training cycle, reason over bloodwork, and generate medically literate guidance. The skill ceiling for AI coaches passed the median human coach in 2025.
Wearables hit critical mass.
600M+ Apple Watches, Garmins, Whoops, Ouras, and Polars in the field producing continuous physiology streams. Until now, none of that data drove a unified training response. We are the first system to close the loop.
The human-coach economy broke.
A personal trainer, nutritionist, sleep coach, and physiologist costs $1,140 to $2,600 every month. Less than 0.4% of the global fitness market can afford it. We compress the team into one app at $39.99.
Every fitness company is building a feature.
We are building a nervous system.
The category has spent fifteen years bolting one more module onto the same broken architecture: a workout app, then a meal tracker, then a sleep widget, then a vague AI chat. None of them talk to each other. None of them respond to the human in front of them.
We saw what every competitor missed: the value isn't in any single domain. It's in the connections between them. Twelve specialists, one shared memory, one adaptive readiness engine — validated by our own in-house science labs. Close the loop and the unit economics of human performance change forever.
33 days of paid subscriptions.
Zero dollars of marketing.
We turned on Stripe on April 1, 2026. Every metric below was earned organically — by users who found us, signed up, and chose to pay.
$32.37 ARPU at 70% Elite tier mix is not consumer fitness economics. It is premium SaaS economics behind a consumer product.
3.6% organic conversion in 33 days, $0 marketing. Strava — the category gold standard for organic — runs 3-5%. We landed at the top of that band on day one, and we have not started.
Performance marketing is additive, not foundational. We are raising to pour fuel on a fire that already burns.
54,000 sq ft of vertical
integration. Operational in 3 months.
Most fitness companies rent science. We are buying it. The Riga headquarters consolidates research, content production, and AI training under one roof — with nine specialty labs validating every algorithm we ship. Lease execution is signature-ready; equipment is pre-spec'd; interior fit-out lands the first cohort of researchers in 90 days.
Science complex
~2,400 sqm9 specialty labs, equipment storage, sample prep
Production studios
~700 sqm6 filming sets, virtual-production LED stage, post-production suite
Motion capture stage
~400 sqm16-camera Vicon, force plates, biomechanics validation
Training floor
~600 sqm120 Rogue and Hammer Strength stations, cardio deck
Nutrition kitchen + studio
~250 sqmTest kitchen, recipe filming, metabolic experiments
Server room (ML cluster)
~150 sqm256× NVIDIA H200, 1PB NVMe, InfiniBand fabric
Office & operations
~450 sqm60-80 person team, executive, design, customer success
Reception, meeting, common
~50 sqmInvestor and partner reception
Nine labs.
Full-spectrum coverage.
Every algorithm we ship is validated against ground-truth measurement from our own labs. This is the moat that takes a competitor years to replicate — and the data flywheel that makes our model smarter every quarter.
Biomechanics & Motion Capture
16-camera Vicon, AMTI force plates, Delsys EMG, high-speed video
Validates ML Vision form analysis. Builds proprietary movement model.
Body Composition & Imaging
GE Lunar iDXA, BodPod, 3D body scanner, diagnostic ultrasound
Muscle/fat/bone ground truth. Calibrates body assessment.
Cardiopulmonary / VO2
COSMED K5, lactate analyzer, 12-lead ECG, ergometers
VO2 max, HR zones, endurance modeling.
Sleep & Recovery
Compumedics polysomnography, 4 sleep chambers, 32-ch EEG, cryo, sauna
Sleep score validation, recovery protocols, HRV science.
Metabolic / Nutrition
Whole-room calorimeter, indirect calorimetry, CGM, bomb calorimeter
True TDEE, macro response curves, nutrition trial validation.
Biochemistry / Bloodwork
CLIA-grade hematology, clinical chemistry, hormone immunoassay, LC-MS
In-house 80+ biomarker panels, hormonal performance science.
Neuromuscular
Biodex System 4 isokinetic, muscle ultrasound, TMS, NIRS
Strength asymmetry, neural drive, muscle-oxygen kinetics.
Environmental Performance
Heat & altitude chamber, hypoxic training, underwater treadmill
Adaptation training, condition-specific protocols.
Cognitive / Psychological
64-channel EEG, eye-tracking, biofeedback, VR/AR rig
Focus, reaction time, mental performance research.
256 NVIDIA H200 GPUs.
Owned. Not rented.
Most AI fitness products run on a wrapped API. We train our own readiness models, vision networks, and specialist LLMs — on a 256-GPU cluster sitting 30 meters from the labs that produce the training data.
The math is the moat.
Premium ARPU + best-in-category retention + viable paid acquisition = payback in under four months at scale.
From 126 paid to one million.
12-15 months of marketing scale post-close.
- Series A closes Q3 2026 · capital deployed
- iOS + Android native shipped
- First marketing infrastructure live
- Team scale-up · key hires onboarded
- Performance marketing scaled (Meta, TikTok, Google, YouTube)
- First 200 mid-tier creator partnerships
- Wearable integrations: Apple Watch, Garmin, Whoop, Oura
- B2B portal launches — schools, corporates, insurance
- Top-tier athlete and creator deals (1M+ followers)
- CTV + streaming ad campaigns at scale
- EU enterprise pilots under GDPR-native posture
- Affiliate + referral program compounding
- $40M marketing × $85 CAC = ~470K paid acquisition
- Plus ~280K from k=0.4 viral compounding
- Plus ~250K from organic + B2B activation
- Series B raise opens at 1M-paid milestone
Twelve specialists.
One adaptive intelligence.
Each specialist is a separately trained agent with a domain knowledge graph, voice, and decision policy. They share one user memory and one readiness state. Hire one team, get the entire performance staff.
Eight moats today.
Ten more compounding into 2027.
Vertical scientific integration
Nine in-house labs validating every algorithm we ship. No competitor owns the science. The headquarters is the moat.
Multi-domain depth
Twelve specialist domains coordinated by one shared state. No competitor covers more than two well.
Adaptive readiness engine (EATS)
Proprietary scoring system fusing sleep, HRV, training load, nutrition, and stress to recompute every workout daily.
Client-side ML Vision
On-device pose estimation. No server cost, no privacy exposure, FDA pathway specced.
GDPR-native EU entity
SIA Enliven, Latvia. Privacy-by-design from day one. Years ahead of US-incorporated competitors on EU enterprise and government contracts.
Cross-domain data correlation
Workout × nutrition × sleep × bloodwork in one user object. The data shape no competitor possesses.
Vertical AI ops (ATLAS)
Internal 83-agent stack runs the company itself — content, marketing, ops. We compound on AI leverage no rival operates.
Premium revenue at $32 ARPU
Live Stripe data proving willingness-to-pay at SaaS-grade ARPU on a consumer product.
Proprietary readiness model
Trained on millions of cross-domain user data points + lab ground truth. Patentable.
Specialist agent IP
Twelve trademarked personalities, voice clones, knowledge graphs. Each a defensible asset.
FDA-cleared pose tracking
510(k) clearance pathway. Years of regulatory moat for medical-grade form analysis.
EU AI Act certification
First-mover compliance certification. Competitive lock-out in regulated markets.
B2B switching costs
Schools, corporates, insurance, military — multi-year contracts on platform integration.
Bloodwork × workout integration
Clinical-grade health adjacency. Insurance-partnership ready.
Mental + physical health index
Patentable unified scoring across psychology, training, recovery, sleep.
Network effects
Challenges, duels, groups, leaderboards. Social switching costs that grow with every cohort.
Wearable exclusivity deals
Brand-exclusive integration partnerships in negotiation.
Training-data flywheel
Every session improves the model. ATLAS learns from real human form at planet scale.
Ten world-firsts.
All shipping by 2028.
These are not roadmap aspirations. Every capability below is in active build, validated by our nine in-house labs, and on the calendar to ship. No competitor has more than two. None has any of the integrated ones.
Injury prediction 14 days in advance
Cross-domain ML correlates HRV, sleep, training load, and biomechanics asymmetry to flag injury risk before it manifests. Validated against our motion-capture lab. Q1 2027 ship.
Bloodwork → next workout in real-time
Upload a panel; the system rewrites the next 14 days of training, nutrition, and supplementation. No human coach — no human team — operates this fast. Q2 2027 ship.
Continuous longevity prescription
Adaptive cellular-age tracking from physiology. Personalized intervention protocol updated daily. Physician-prescribable by 2028. The first true longevity OS.
The unified body equation
One mathematical model coordinating training, nutrition, sleep, supplementation, recovery, psychology, and clinical health as a single optimizable system. Patentable.
Surgeon-grade ML Vision (99.7%)
On-device pose estimation validated against Vicon ground truth in our own lab. Currently at 99.7% accuracy on 33 keypoints. FDA 510(k) pathway in motion.
Sleep prediction model · 96% accurate
Predicts tomorrow night's sleep score from today's training, nutrition, and stress signals. Closes the loop between behavior and recovery — the missing link in human optimization.
Twelve specialists with permanent memory
Each specialist remembers everything. They debate each other, defer to each other, and update one shared user state. Clinical-grade context retention. No competitor.
Real-time hormonal optimization
Female health, testosterone, cortisol, thyroid — all integrated into the readiness equation. Lab-validated. The first system to make hormonal performance programmable.
Genetic-tier personalization
Genome upload routes through specialist-specific decision policies. SNP-aware nutrition, training, and supplementation. 2028 ship — partnered with leading EU genomics labs.
Population-scale data flywheel
Every workout improves the model. Every meal logged refines the readiness equation. At one billion users, the system becomes uncatchable. The flywheel is the moat.
Early viral signal k ≈ 0.4.
Loop already firing pre-launch.
We acquired 126 paying users and 3,489 free trials in 33 days with zero marketing — pure organic. Modeled k-factor of 0.4 baseline (consumer "great" band per Saxifrage benchmarks: 0.4-0.7). With a referral payout layer + creator partnerships built post-close, modeled k=0.6-0.8 — sustained compounding without ad-spend dependency. Real k-factor will be measured in the first 90 days post-launch under instrumented telemetry.
$1 today → $8,900+ by 2033.
Floor case still clears 267×.
These are not promises. They are the math. Every figure below is the product of subscriber-count × ARPU × revenue-multiple. The model is shown for review — defensible by spreadsheet, not by faith.
Even if we miss the 1B vision by 90%, the math still clears 267×.
100M paid subscribers (10% of stretch, reached by 2031) × $20 ARPU × 12 = $24B ARR. At 5× revenue multiple — conservative for a mature, moated AI category leader — that is $120B market cap. Against $450M post-money entry, that is a 267× return. Even at recession-grade 3× multiple, the floor still clears 160×. The downside scenario for this round still clears every venture threshold by a wide margin.
The question is not whether this returns capital. The question is by how many orders of magnitude. There is no comparable risk/reward profile in the AI category for a Series A entry today.
$90M Series A.
Allocated to compound, not to coast.
Click any line to expand the month-by-month deployment schedule.
Marketing & user acquisitionPerformance + creator + CTV + content · 12 months$25M28%
Operating runway (12 months)~30 hires + AWS scaling + G&A + rent + customer success$20M22%
Latvia HQ — interior + equipment$7M lab-grade fit-out + $18M equipment · operational in 90 days$25M28%
ML / LLM compute (Phase 1)H100 capacity (lease) + InfiniBand + storage · full H200 buy at Series B$8M9%
Engineering team comp (above-base)Senior eng + ML + product/design equity refreshes + signing bonuses$5M6%
Specialist content production12 specialists · studio + voice + video · 12-month library buildout$2M2%
B2B sales build-outVP Sales + 2 enterprise AEs + ops + tooling$2M2%
Lab scientists (6 PhDs Year 1)Biomechanics, physiology, nutrition, sleep, cognitive — full team Year 2$2M2%
Compliance, legal, IPEU AI Act registration, FDA 510(k) prep, GDPR DPA, IP filings$1M1%
Four paths.
Lead investor chooses.
We are ready to break ground in 30 days on any of the four scenarios below. Lease scenarios go live in 12-14 months. Build scenarios become depreciating assets on the balance sheet. The recommended path is Latvia LEASE — fastest to revenue, lowest CapEx, $10M of preserved capital pours into marketing scale.
Latvia · LEASE
- Fastest path on the planet — operational in 90 days
- 5,000 sqm shell pre-identified · lease execution-ready
- Lab-grade fit-out $7M · 60% lab + 25% studio + 15% office
- Rent $576K/yr — 3.2× cheaper than Irvine equivalent
- $21M capital preserved vs US LEASE · pours into marketing
- Lease convertible to purchase at Series B trigger
Latvia · BUILD
- Owned, depreciating asset on balance sheet
- Full architectural control — purpose-built labs
- No landlord coordination — no renewal risk
- Capital efficiency past Year 5
- Real estate carry value $12M+ at exit
- Industrial-zone subsidies stack with R&D incentives
US · LEASE
- Irvine Spectrum lab-grade R&D shell lease
- Interior fit-out 4× Latvia ($28M vs $7M, OC rates)
- Rent $1.86M/yr — 3.2× Latvia ($155K/mo)
- US athlete and creator partnership proximity
- HIPAA + FDA agency conversation proximity
- Requires $20M round expansion to fund
US · BUILD
- Owned Irvine asset — full architectural control
- Total US presence and political optionality
- Slowest path — 24 months to operational
- Highest CapEx — requires $40M round expansion
- Recommended for Series B, not Series A
- Real estate carry value $30M+ at exit
| Scenario | CapEx | Annual rent | 5-year cost | Live in | Recommended |
|---|---|---|---|---|---|
| Latvia · LEASE | $25M | $0.58M | $28M | 3 mo | ✓ |
| Latvia · BUILD | $33M | $0 | $33M | 18 mo | |
| US · LEASE | $46M | $1.86M | $55M | 5 mo | |
| US · BUILD | $70M | $0 | $70M | 24 mo |
One founder.
Eighty-three agents.
Sixty-one senior hires next.
We bootstrapped to live revenue with one operator and a vertical AI ops stack of 83 internal agents (ATLAS) running content, marketing, and operations. The Series A funds the human team that converts product-market fit into category dominance.
Regulation is not a tax.
It is a moat we are pouring concrete into.
GDPR-native architecture
EU entity, EU residency, consent-gated training data, 90-day soft-delete, full DPA support for B2B. Built in from day one.
EU AI Act readiness
First-mover compliance. Limited-risk classification with full transparency. High-risk pathway specced for clinical features. Risk management system already in place.
FDA 510(k) pathway (SaMD)
Class II Software-as-Medical-Device clearance for ML Vision form analysis with injury risk. 12-18 month horizon. Audit logger and model integrity verification specced.
HIPAA-ready for US enterprise
Architecture compatible with HIPAA Business Associate Agreements for insurance, employer-benefit, and healthcare partnership contracts.
ISO 27001 + SOC 2 Type II
Information security certifications targeted Q4 2026 / Q1 2027 — mandatory for enterprise and government procurement at scale.
Bootstrapped to compliance posture
Most consumer apps inherit technical debt that takes years to retrofit. We never accumulated it. Series A funds the certifications, not the rebuild.
We are not building an app.
We are building the
universal performance protocol.
First integrated nervous system shipped
12 specialists fully coordinated. Native iOS + Android live in 80 countries. 1M paid subscribers.
FDA 510(k) cleared · EU AI Act certified
Medical-grade form analysis. Insurance contracts active. 5M paid · $1.2B ARR.
B2B layer dominates enterprise wellness
Top 100 enterprise clients. Insurance subsidies in 12 countries. 25M paid · $6B ARR.
Every Olympic federation trains on Enliven
Standard of practice for elite sport. National federation contracts in 60+ countries. 100M paid.
One billion paid subscribers
The protocol every human runs on. Physician-prescribable. The default operating system for the body.
Standard of medical care
Government healthcare integration. Personalized longevity prescriptions. Category-defining global infrastructure.
We have the live product. We have the revenue signal. We have the compliance posture. We have the agent stack. We have the headquarters plan. The only variables left are capital and speed.
If you are not in this round, you are betting against the integration of AI and human biology. There is no second window at this price.
Continue inside the interactive pitch deck.
Full strategic narrative, financial model, market analysis, and roadmap — built for investor review.
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