Stealth ModePatent Submitted — Sterne Kessler, D.C.SEIS Advance Assurance applied for

The Autonomous Guardian for Human Longevity

Wearable technology tracks the past and watches you crash. Weyos is a patent-pending, predictive biometric arbitration engine designed to intercept physiological burnout up to four hours before it happens.

Raising £1M pre-seed at a £10M valuation cap

Founded by a former RBS commercial underwriter — £196M cleared, 0% default rate — and a veteran systems architect.

Signal to action

Wearable
Smartphone

AI decision engine

Food
Exercise
Recovery
Healthcare
The Problem

Don't track the crash. Predict the cure.

A $1.8 trillion wellness market, and health is still getting worse

The industry is enormous and still failing, because every product on the shelf misunderstands how humans behave under pressure.

The 7pm collapse

On Sunday people plan to eat well. By Tuesday evening, brain fog wins and they take the easiest option in front of them.

Longevity is priced for the rich

Functional labs, practitioners and organic living are treated as luxuries, so the people who need prevention most never get it.

Trackers only report the past

Your watch tells you cortisol was high yesterday. It does nothing to change what happens in the next four hours.

Contradictory advice

One source says eat more chickpeas, another says they will bloat you. The result is decision paralysis and abandonment.

What exists today

Three silos. No one closes the loop.

Everyone measures. Nobody acts.

The market is crowded, but it is crowded with observers. The gap between knowing and doing is where every health goal dies.

Oura, Apple Watch, Whoop

Wearables

Measure beautifully. Execute nothing. The insight arrives after the damage.

Calorie and macro trackers

Nutrition apps

Manual logging creates friction, and generic calories ignore your constitution and hormonal phase.

Deliveroo, Amazon Fresh

Delivery platforms

Zero health intelligence. They profit from the exact moment your judgement fails.

Weyos bridges the silos: biometric data from the wearable autonomously triggers logistical execution through retail and delivery, governed by the user's biological blueprint.

Why Us

We don't guess. We arbitrate.

A patent-pending engine that overrides the plan when the body disagrees

Weyos cross-references live smartwatch telemetry against a constitutional baseline and the user's calendar, then resolves the conflict in real time — and executes the fix.

The override formula

Vk

Live bio-telemetry

HRV, resting heart rate, sleep depth, skin temperature

Cx

Constitutional baseline

A structured constitutional model derived from Ayurvedic typology, cross-referenced against hormonal phase and chronological rhythm — then continuously corrected by live telemetry.

P

Static schedule

The calendar the user wrote when they felt fine

Vk ≫ Cx > P

Live telemetry always wins. 55 interlocking patent claims filed via Sterne Kessler, Washington D.C.

What that looks like at 3pm

  1. Smartwatch detects a 35% drop in heart rate variability.

  2. The scheduled HIIT session is cancelled before it hurts.

  3. A three-minute cooling breathwork routine is pushed instead.

  4. An anti-inflammatory meal is priced, basketed and one tap from ordered.

Illustrative of the engine's designed behaviour. Beta in development.

Closing the loop

On the roadmap — not yet live

Grocery arbitrage

Designed to scan local budget retailers and build the cheapest basket that fits the user's biological blueprint.

Supplement targeting

Will map functional lab markers to specific, dose-aware supplement cues.

Delivery bypass

Planned as a one-tap healthy option at the exact moment judgement fails.

Beta case study — beta subject, early 50s executive

He assumed he needed digestive enzymes. The engine identified efficient digestion and pointed to cortisol-driven fat retention instead — recommending unplugged walking, targeted L-Theanine and an evening brain dump. Midsection fat shifted in 28 days with no restrictive dieting. Full case study in the data room.

Single-subject beta observation. Not a clinical trial and not medical advice.

Why Now

As we age, this stops being optional.

The ageing curve creates the demand. The infrastructure just caught up.

20s

The Vampire years

Late nights, poor food, high stress — and no visible consequence. Nothing forces a change.

30s–40s

The debt is called in

Metabolic debt surfaces as burnout, weight that will not move and sleep that does not restore. Generic apps still push harder workouts at people who need recovery.

50s+

Non-negotiable

Prevention stops being aspirational and becomes the difference between decades of health and decades of management. This is where willingness to pay becomes near-absolute.

  • 178.9M active wearable users across our launch regions, already streaming the telemetry we need.

  • HealthKit, FHIR and grocery/delivery APIs are finally mature enough to close the loop automatically.

  • NHS digital therapeutics tariffs and insurer prevention budgets now pay for outcomes, not apps.

  • Patent submitted and stealth maintained — the window to lock the synthesis layer is open now.

Market

A £20 billion route to market.

178.9M wearable users today. 347.8M by year seven.

The core product is free to the consumer. The majority of revenue comes from the institutions that carry the financial risk of sickness — which is where the recurring revenue and the retention live.
RegionTodayYear 7 TAMTarget
United Kingdom13.4M26.0M8%
United States82.5M160.0M6%
Europe (top 5)40.0M78.0M5%
United Arab Emirates3.0M5.8M10%
India (premium tier)40.0M78.0M5%
Total178.9M347.8M~5.8%

20.06M active users at year seven implies £1.552B ARR. At the 13x–15x multiple typical of enterprise health-tech, that is a £20.2B–£23.3B enterprise valuation. Projections are forward-looking estimates, not guarantees.

The first mile of intent

The core product is free. The majority of revenue sits with the parties who pay when people get sick.

NHS & public health

£30–£50

per managed patient / year

Private insurers

£2–£12

per member / month

Enterprise employers

£5–£8

per employee / month

FMCG retail media

£5–£15

per user / year

Who is behind Weyos

Built by underwriters. Defended by patents.

Operators, not visionaries

Weyos is being built by people who have already run the numbers on other people's businesses for a living — and who bootstrapped their own without outside capital.

Pav Masutes

Founder & Chief Executive Officer

A commercial underwriter who cleared over £196 million in corporate finance at RBS across 9,000 fact-finds with a 0% default rate, then bootstrapped mySTAYINN to £9.4 million in revenue without a penny of venture capital.

John Bardis

Chief Technology Officer

A veteran systems architect and engineering leader who has scaled user bases and built multi-modal expert systems, now translating the Weyos biological model into secure AWS infrastructure.

The full founder story, including the operational track record, is inside the data room.

Request Data Room Access

Stealth mode. Patent submitted.

Enter the data room

The full institutional portfolio — memorandum, financial ledger, IP strategy, founder biographies, clinical governance and the live case study. Confirm your investor status and add your email to open the portfolio.

Use of funds

Finalise the Beta OS

Complete the arbitration engine and ship the closed beta.

Secure API partnerships

Wearable, grocery and delivery integrations required to close the loop.

Launch B2G / NHS pilots

Convert digital therapeutics tariffs into contracted revenue.

Enter the data room

Confirm your investor status and add your email to open the portfolio.

These materials are confidential and provided for evaluation only. Nothing here is an offer of securities or financial advice. Early-stage investing carries substantial risk, including the total loss of capital.