Early Partner Pricing Through Q3 2026 — 3 Integration Slots Remaining This Quarter.

The Intelligence Layer for the Wellness Industry

Your AppJust Got Smarter.Without Rebuilding.

Wilson4Q is an SDK that plugs into any wellness app — meditation, therapy, fitness, sleep, nutrition — and gives it something no app can build alone: cross-ecosystem intelligence that measures whether interventions actually work, without ever exposing user data to the host.

4–6 Weeks
Avg. Time to Integration
71%
Drop in User Churn
~$0
Marginal Inference Cost

Drop in the SDK. Live in days. No rebuild. No data centre problem. No privacy risk.

Why Your Retention Is Broken — And You Already Know It

96% of Your Users Will Leave in 90 Days.

Not because your product is bad. Because no one — including you — can tell them if it's working.

95K+
Wellness Apps

All competing for the same attention, none measuring impact.

$7.8T
Market Size (2025)

A massive industry built entirely on guesswork.

96%
Churn at 90 Days

Users leave because they cannot tell if anything is working.

Today, wellness apps condition users toward engagement — bells without food, in Pavlov's terms. Push notifications. Streaks. Badges. None of it is connected to actual outcomes. The result: your product team optimizes for DAU while your users get no better. And when they don't get better, they leave.

Without Wilson4Q

  1. 1.User browses with no context
  2. 2.Picks a session at random
  3. 3.Finishes it feeling 'something'
  4. 4.App logs a completion
  5. 5.Neither the user nor you know if it worked
96% churn within 90 days.

With Wilson4Q

  1. 1.Wilson reads sleep, stress, and activity signals
  2. 2.Your app recommends the right session for today
  3. 3.Post-session, the user sees: stress dropped 23%
  4. 4.Your platform learns what worked
  5. 5.Both sides get smarter every session
The retention curve inverts.
Retention that is earned, not engineered — because both sides get smarter every day.

Live Product Demo — Sarah's Monday Morning

Monday 9:07 AM.

The same app. The same person. The same morning. The only difference is whether Wilson's SDK is running.

Step 1 of 3
Sarah opens the app
With Wilson4Q
9:07 AM••• ▲ ◼
⚡ Wilson on-device · 0 data left this phone
Serene
Good morning, Sarah
S
☾ Sleep: 5.4h · 18 days disrupted♥ HRV: low
◇ Wilson noticed
You've had disrupted sleep for 18 consecutive days and stress signals are elevated. A grounding session will serve you better than breathwork today.
Recommended for you today:
SLEEP
Deep sleep prep
20 min
ANXIETY
Panic relief breath
8 min
Less effective on low-sleep days
FOCUS
Morning clarity
12 min
STRESS
Body scan reset
15 min
◆ Best match today
Stress: 74 elevated
EFI: 54 baseline
Serene without Wilson learned:
  • ✗ 1 completion logged
  • ✗ Streak: 69 days
  • ✗ Nothing else.
Cannot explain why Sarah will cancel in 90 days.
Serene with Wilson learned:
  • ✓ Which session type works for Sarah's stress profile
  • ✓ That panic breathwork fails on low-sleep days
  • ✓ That Sarah's EFI improved 7 points today
  • ✓ That Sarah has evidence the product works
The retention curve inverts.

Same content. Same app. Same Sarah. The only difference: Wilson's SDK read her emotional state before the session opened.

The Window Is Closing

Three Forces Are Converging Right Now. The Company That Acts First Owns the Category.

⚠️

The Regulatory Cliff Is Coming

The EU AI Act, expanding GDPR enforcement, and emerging U.S. digital wellness legislation are creating enormous compliance burdens for engagement-optimizing platforms. Wilson4Q's privacy-first, on-device architecture is not just ethically superior — it is structurally compliant with the regulatory direction of travel. Your competitors face retrofitting costs in the billions. Wilson4Q's compliance is built in from day one.

📈

The Technology Is Ready Right Now — It Wasn't 12 Months Ago

Twelve months ago, a genuinely private on-device AI wellness system was not commercially viable. The emergence of Phi-3, Gemma 2, and Llama 3.2 in 2024–2025 changed this. Wilson4Q can now deliver GPT-4-class emotional intelligence on a user's phone at near-zero marginal cost. This window exists for 18–24 months before a well-funded competitor closes it.

⏱️

The Mental Health Crisis Has Created Unprecedented Demand

The WHO estimates depression and anxiety cost $1 trillion annually in lost productivity. The global mental wellness market is projected to reach $330 billion by 2030. Employee burnout costs U.S. employers $190 billion per year. Every HR department, every insurer, and every government is desperately seeking scalable solutions. The platform that can show measurable outcomes owns this market.

The wellness app that can prove it works will win everything. Wilson4Q is how you prove it.

The Solution

Wilson4Q Is Infrastructure, Not a Competitor.

Wilson does not compete with Calm, Headspace, Fitbit, or BetterHelp. It plugs in as an SDK. Your app stays itself — your brand, your UX, your relationship with your users. But it gains contextual intelligence it could never build alone, because Wilson sees across all the apps the user touches, without ever handing their data to you.

That makes Wilson4Q an infrastructure play — for 95,000 apps.

🔌

SDK Integration

Drop Wilson4Q into any wellness app with minimal engineering lift. Your team integrates the Wilson SDK via our documented API. No rebuild. No data migration. No architectural changes to your existing product. Live in days, not months.

Engineering Lift: Low
🔒

Privacy-First Architecture

User data never leaves the device. The Wilson SLM runs on-device using Apple CoreML (iOS) and TensorFlow Lite (Android). No sensitive health data reaches Wilson's servers or yours. Zero data centre cost for inference. Fully HIPAA-safe by architecture — not by policy claim.

HIPAA Compliant by Design
📊

The Compounding Flywheel

Every new user and every new partner app sharpens Wilson's recommendation engine. Wilson gets more valuable every month it runs. A competitor trying to replicate this in three years faces a model trained on hundreds of millions of real emotional wellness interactions — something they cannot catch up to without the users.

Defensible Moat
Your App
Wilson SDK
On-Device SLM
EFI Score
Smarter Recs
User Stays
Platform Learns

The Value Proposition — For Your Leadership Team

What You Can't See Is Why Users Leave.

Sarah uses six wellness apps. Each one sees a sliver of her life. None of them can see the emotional system that drives whether she stays or cancels. Wilson can.

Sarah uses 6 wellness apps. Each one sees a sliver.
Your meditation app
Session completions, streak days, chosen content type
⊘ Blind to everything else
z
Sleep tracker
Sleep duration, stages, disruptions
Cannot reach you
🏃
Fitness tracker
Steps, HRV, resting heart rate, activity
Cannot reach you
Therapy app
Session attendance, mood check-ins
Cannot reach you
🥗
Nutrition app
Meals logged, calorie count, meal timing
Cannot reach you
📅
Work calendar
Meeting density, overload days, late nights
Cannot reach you

Sarah hasn't slept properly in 18 days. Her HRV has dropped 27%. She skipped the gym 4 times this week. She had back-to-back meetings until 8pm Tuesday. None of this reaches your app. You see a 69-day streak and have no idea she is about to cancel.

?

Why did Sarah cancel? Your data shows healthy engagement right up until she left. Without Wilson, you will never know — and you will make the same mistake with the next Sarah.

For Your Technical Team

On-Device. Privacy-First. Production-Ready.

🧠

Small Language Models

Wilson's SLM (3.8B parameters) runs entirely on the user's device — iPhone 15 Pro+ on iOS via CoreML, Android via TFLite. GPT-4 class emotional intelligence at near-zero inference cost. No cloud AI bill.

🔒

Zero Data Exposure

Raw health, emotional, and behavioral data never leaves the device. Federated learning improves the model from aggregate anonymized signals — not individual data. AES-256 local encryption. Keys in the Secure Enclave.

⚙️

Integration Stack

Wilson SDK integrates with HealthKit (iOS), Health Connect (Android), Fitbit, Oura, Garmin, Strava, MyFitnessPal, Google Calendar, and 40+ additional data sources. REST API for all partner integrations. ONNX cross-platform model deployment.

📈

Compliance Architecture

HIPAA-safe by architecture. GDPR-ready data minimization. EU AI Act aligned. SOC 2 Type II certification target Month 12. Quarterly external security audits. Consent ledger blockchain-anchored.

Wilson4Q cannot be breached for what it does not possess. We process the most sensitive data on-device — and only on-device.
→ Download Full Technical Architecture PDF

Who Integrates Wilson4Q

Same SDK. Every Wellness Context.

📱

Meditation, Therapy & Mental Health Apps

The Problem

Your app has 500,000 installs and 34% 90-day retention. You know your content is good. But you cannot tell which content works for which users — or why.

With Wilson4Q

Wilson reads sleep, stress, and activity signals before each session. Recommends the right content for today's user state. Post-session, the user sees 'stress dropped 23%'. Your platform learns which programs, content, and techniques actually move the needle — for which audiences.

Outcomes

71% churn reduction
23% avg stress drop post-session
Live in 4–6 weeks

For Your Finance & Technical Leadership

The Economics Are Completely Different.

Traditional AI at scale costs tens of millions in server infrastructure. Wilson's model runs on users' devices. At 35 million users, cloud AI inference costs approximately $30–100 million per year. Wilson's inference cost at 35 million users: approximately zero per interaction.

Traditional Cloud AI at 1M Users

  • • Server infrastructure: $3–8M/year
  • • Per-query cloud cost: $0.01–0.03 / 1K tokens
  • • Data centre scaling: linear cost growth
  • • Privacy exposure: centralized health data breach risk
  • • Regulatory surface area: HIGH
~$3–8M annual infrastructure cost

Wilson4Q On-Device AI at 1M Users

  • • Server infrastructure: minimal (account mgmt only)
  • • Per-query inference cost: ~$0 (runs on user's device)
  • • Scaling cost: near-zero marginal cost per new user
  • • Privacy exposure: zero — data never leaves device
  • • Regulatory surface area: MINIMAL by architecture
~$0 marginal inference cost

"Sarah doesn't know Wilson exists. She just thinks Fitbit finally understood her. That is exactly the point."

From Decision to Live — The Integration Path

Three Steps. Any Wellness App. Live in Days.

No rebuild. No data migration. No architectural changes. The Wilson SDK drops into your existing product.

01Week 1–2

Integrate

Drop in the Wilson4Q SDK or API

Your engineering team receives the Wilson SDK documentation and access credentials. The SDK is a compact package that installs into your existing mobile application. It connects to data you already collect (HealthKit, Health Connect, wearable APIs) with explicit per-connection user consent. No rebuild. No data migration. Live in days for a standard integration.

iOS: Swift + CoreMLAndroid: Kotlin + TFLiteAPI: REST + WebhookDocs: Full SDK reference + sandbox
Typical Timeline: 1–2 Weeks
02Week 2–4

Activate

EFI Score Goes Live On-Device

The Emotional Fitness Index (EFI) Score activates on your users' devices. Wilson reads sleep, stress, and activity signals. Users begin receiving pre- and post-session scoring. Emotional fitness insights surface inside your app under your brand. Zero data leaves the device. Your compliance team will be satisfied by architecture — not policy promises.

On-device SLM: <100ms inferenceHIPAA-safe by architectureZero raw data to Wilson or to youConsent architecture: user-controlled
Typical Timeline: 2–4 Weeks Total
03Month 2+

Grow

Retention Rises. Partner Revenue Begins Automatically.

Churn drops. Engagement deepens. Your platform learns which programs, content, and techniques actually move the needle — and for which audiences. Partner revenue begins automatically based on your active user count. Wilson's model continues improving through federated learning — getting smarter from aggregate anonymized signals across every partner integration, making your app better every month.

71% churn reduction (measured)Partner revenue: automatedModel improvement: continuousYour brand: unchanged
Ongoing: Compounding Improvement
Week 1–2: SDK Install + Data Source Connection
Week 2–4: EFI Live, User Insights Active
Month 2: Churn Drops, Revenue Begins
Month 3+: Compounding Intelligence

The Partner Value Proposition

Intelligence You Could Never Build Alone.

🏢

For Your Platform

📊

Know What Actually Works

For the first time, learn which programs, content, and techniques actually move the needle — and for which audiences. Double down on what produces results. Retire what doesn't.

🔒

Regulatory Compliance Solved

Privacy-first architecture satisfies HIPAA, GDPR, and EU AI Act requirements by design. No expensive retrofitting. No centralized health data risk. Compliance as a competitive advantage.

⚙️

No Infrastructure Cost

Wilson's AI runs on your users' devices. You are not paying for 35 million daily AI interactions on a cloud bill. Near-zero marginal cost at any scale.

🏆

Acquisition Target Premium

Wilson4Q is a strategic asset — an acquisition target for any platform seeking the intelligence layer. Integrating early positions your platform as the most valuable acquisition candidate in your category.

❤️

For Your Users

Real Measurement

For the first time, a session gets a pre- and post-score. Users stop guessing whether something is working — they see it working. Actual results are the only thing that keeps a human coming back without being manipulated into it.

🧠

Personalized Intelligence

Wilson learns that one profile responds to somatic breathwork, another to CBT, another to sleep hygiene. Recommendations improve with every session — insights impossible inside any single app.

🛡️

Privacy They Can Trust

User data never leaves their device. Not to Wilson. Not to you. Not to anyone. This is not a marketing claim — it is the architecture. Users who understand this become your most loyal advocates.

🛤️

Outcomes They Can See

Stress dropped 23%. Sleep improved. EFI score up 14 points. These are not vanity metrics — they are proof that the money, time, and trust your user invested in your product was worth it.

Partnership Economics

Transparent Pricing. Revenue That Scales With You.

Early Partner

Starter Integration

$1.50/ active user / month

API license that scales with every active user. Ideal for apps under 100K MAU building toward product-market fit with Wilson intelligence.

  • Wilson SDK access
  • EFI Score on-device
  • Standard API endpoints
  • Partner dashboard
  • 30-day onboarding support
  • HIPAA compliance documentation
Most Common

Professional Integration

$3.00/ active user / month

Full partner integration with advanced analytics, priority support, and revenue-share on measurable retention uplift.

  • Everything in Starter
  • Advanced EFI analytics dashboard
  • Cross-ecosystem intelligence signals
  • Revenue-share: 8–12% on retention uplift
  • Dedicated integration engineer
  • HIPAA + SOC 2 compliance package
  • Federated learning participation
Enterprise

Enterprise / White-Label

$25K–$500Kannual license

Enterprise licensing for platforms with 1M+ MAU, healthcare organizations, and corporate deployments requiring full compliance certification.

  • Custom licensing terms
  • White-label option
  • Healthcare & corporate compliance certification
  • Dedicated Wilson engineering squad
  • Custom SLM fine-tuning
  • Quarterly compliance audits
  • SLA guarantees

1,000 partners × 10K users × $2 = $20M ARR — compounding with every new integration.

EFI Score is a proprietary algorithm, knowledge base, and 30-year study result. This is the MOAT of Wilson.

Let's Build This Together

You Have 90 Days Before Your Users Decide Whether to Stay.

The conversation is simple. You bring your platform. We bring the intelligence layer. Together, we build the product your users have been waiting for — one that actually proves it works.

Book an Integration Call

A 30-minute technical + commercial conversation. We'll walk through your current tech stack, identify the fastest integration path, and give you a realistic timeline and revenue projection.

We respond within one business day. No sales automation. A real conversation with our integration team.

Why the Next 90 Days Matter

Every day your app runs without outcome measurement is a day a user gets closer to leaving. 96% will churn within 90 days — not because your content is bad, but because they cannot tell if it's working.

1

The regulatory window: EU AI Act enforcement begins creating compliance pressure for engagement-first platforms in 2025–2026. Early adopters build compliant products. Laggards face retrofits.

2

The technology window: The SLM architecture enabling on-device AI at near-zero cost emerged in 2024. This creates an 18–24 month window before well-funded competitors close the gap.

3

The market window: The first platform to prove measurable wellness outcomes will own the trust of a $7.8T market. There will be one winner in each category. Being second means being forgotten.

janice@wilson4q.com · wilson4q.com

Proven. Connected. Ready to Scale.

The Research Is Done. The Pilots Are Complete. The Window Is Now.

90%
Proven Effectiveness

Independent study confirms 90%+ efficacy in improving emotional fitness and mental resilience across 2,000+ participants.

100K+
Strong Top-of-Funnel

Reached 100K+ unique individuals through targeted digital campaigns and community partnerships.

50M+
Massive Awareness

Garnered 50M+ impressions across social media, press, and influencer collaborations.

Elite Validation

Successfully completed pilot programs with top-tier professional sports organizations and high-performance teams across NFL, NHL, MLB, NBA, and NCAA.

Sports Pilot Success

Exceeded KPIs for participant engagement, emotional regulation improvements, and team cohesion. Results independently verified.

Partner Momentum

Strategic partnerships secured with leading men's health advocates, digital wellness platforms, and corporate HR departments ahead of October 2026 launch.

NFLNHLNBAMLBCAANetflixBillboardHuffPostMLSAppleDisney+GoogleTiffany & CoVarietyHBONFLNHLNBAMLBCAANetflixBillboardHuffPostMLSAppleDisney+GoogleTiffany & CoVarietyHBO

This Is Not a Transaction — It Is a Partnership

We Don't Drop an SDK and Disappear. We Grow With You.

1
Onboarding
Weeks 1–4
  • Dedicated integration engineer assigned Day 1
  • Full SDK documentation + sandbox environment
  • Technical onboarding calls (3x in first 2 weeks)
  • Compliance documentation package (HIPAA / GDPR)
  • QA support through to live deployment
  • Go-live sign-off checklist
2
Activation
Month 2–3
  • EFI dashboard access + analytics onboarding
  • First data review: which content moves which metrics
  • User communication templates
  • Partner success manager assigned
  • 30-day performance report
  • Federated learning enrollment
3
Growth Partnership
Month 4 Onward
  • Quarterly platform intelligence reviews
  • Priority access to new Wilson features
  • Joint case study development (with approval)
  • Annual compliance audit support
  • Revenue-share reporting + automated payments
  • Product roadmap input — partners shape Wilson's direction

Your Brand Stays Yours

Wilson is invisible infrastructure. Your users experience your app, your brand, your relationship. We power it. You own it.

Your Data Stays Private

We are technically incapable of seeing your users' raw health data. Not as a policy. As an architecture. That promise cannot be broken.

Your Success Is Our Revenue

We earn more when more of your users are active and retained. Our incentives are perfectly aligned with yours.

Who You're Working With

Janice Taylor — Founder & CEO, Wilson4Q

3x Venture-Backed Founder

Across professional sports, music, and entertainment — with 2 successful exits. Deep experience building and scaling products at the intersection of technology and human performance.

Honorary Captain of the Royal Canadian Navy

Prime Minister appointment, 2 terms. 30 years of research at the intersection of emotional science, AI, and human wellbeing.

Oprah's Top 150, Award-Winning Author & Founder

Pioneered early AI and digital animation for children. First Canadian and first woman to broker a 5-major-sports-league digital animation AI deal.

Built With the Right Team

Wilson4Q's core team includes Prof. Jason Mars (AI Computer Science, University of Michigan), Dr. Joe Eviatar MD (Chief Knowledge Officer), and Research Fellow Yiping Kang (PhD, University of Michigan).

"Wilson4Q is the right architecture at the exact right moment."

Janice Taylor
Founder & CEO
Kristy Kilcup
Chief Commercial Officer
Joe Eviatar, MD
Chief Knowledge Officer
Deanna Rose
Head of HR
Natalie Macdonald
Head of Sports Division
Pete Hassen
Strategic Sports Advisor

The Platform That Can Prove It Works Wins Everything.

You have 90 days before your next cohort of users decides whether your product is worth keeping. Let's change that number together.

janice@wilson4q.com
wilson4q.com
Wilson4Q — Engineering Human Flourishing
Download Technical Brief →