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Investor Information

The market opportunity, our roadmap to success, and what we're building.

Market at a Glance

$0.0T
Total Market Size
by 2030
0%
Market CAGR
2024-2030
0M
Wellness App Users
globally in 2024
0%
30-Day Retention
industry average

The Data Fragmentation Problem

Why current solutions fail users

0%
Data Unused
of wearable health data goes unused in clinical settings
0%
Own Wearables
of consumers own devices but data stays siloed
0%
User Dropoff
of wellness app users leave within 3 days

The gap: More data than ever, but no unified intelligence layer connecting it all

Wearable Ecosystem

Key players we integrate with — $76B+ market in 2024

Apple
smartwatch
$3.0T+
Valuation
50%
Market Share
150M+ users
Garmin
fitness
$35B
Valuation
10%
Market Share
20M+ users
Oura
ring
$5.2B
Valuation
8%
Market Share
3M+ users
Whoop
band
$3.6B
Valuation
5%
Market Share
1M+ users
Fitbit
tracker
$2.1B
Valuation
12%
Market Share
31M+ users
Xiaomi
band
$45B
Valuation
13%
Market Share
50M+ users
$916M
Health Wearables Funding 2024
Smart rings & patches
$10.1B
Digital Health Total 2024
Global investment
$25M
Average Series A
Wearables startups
$96M
Pentagon Oura Deal
Enterprise validation
Expectance connects all your devices into one intelligent view
Apple HealthKitHealth ConnectOura APIWhoop APIGarmin ConnectFitbit API

Sources: Crunchbase, Sacra, Company Reports, IDC Wearables Market Data

The Opportunity Window

Three forces converging at a unique inflection point

Growth
$84B → $351B

Ubiquitous Sensing

  • Wearables market explosive growth
  • Health sensors becoming invisible
  • Every human generating millions of data points
Growth
10x/year

AI Capability Explosion

  • LLMs can reason about complex health data
  • Foundation models enable rapid personalization
  • On-device inference becoming viable
Growth
Post-COVID

Consumer Awakening

  • People want to own their health journey
  • Post-COVID health consciousness surge
  • Distrust of reactive healthcare system

The company that captures this convergence will define the next era of human wellness.

Market Analysis

Total Addressable Market

Combined market opportunity by 2030-2033

$1.7T+
TAM
Digital Health
$946B
Wearables
$186B
AI Healthcare
$505B
Wellness Apps
$46B

Sources: Grand View Research, Markets and Markets, Precedence Research

AI Wellness Adoption Curve

Market maturity and timing opportunity

WE ARE HERE
Innovators
2.5%
Early Adopters
13.5%
Early Majority
34%
Late Majority
34%
Laggards
16%

Perfect timing: Early majority adoption phase — maximum growth potential

AI in Healthcare Growth

Market projection at 38.8% CAGR

2024
$27B
2025
$39B
2027
$98B
2030
$280B
2033
$505B

Source: Fortune Business Insights, Grand View Research

Consumer Readiness

Market sentiment and adoption signals

Interest in personalized wellness90%
Willing to share health data57%
Believe AI improves access53%
Current wearable adoption40%

Sources: Deloitte Consumer Survey, Market.us Research

What Success Looks Like

Our vision for transforming how people understand their wellness

Near-Term
MVP

Unified Intelligence

  • Connect wearables → personalized insights in 60 seconds
  • All health data centralized in one intelligent dashboard
  • Users say: "I finally see how everything connects"
Year 1-2
Growth

Personalized Insights

  • Learn YOUR unique patterns, not population averages
  • Correlate sleep, stress, activity, and environment for you
  • Daily wellness score becomes a morning ritual
Year 3+
Scale

Proactive Wellness

  • Surface trends worth discussing with your doctor
  • Wellness Age becomes a shareable achievement
  • World's richest longitudinal wellness intelligence platform
CurrentIn ProgressFuture

Evolution Roadmap

From heuristics to federated learning — a principled path to AI wellness

Phase 0

Heuristics MVP

Rule-based intelligence engine. Expert-derived thresholds. LLM for natural language generation.

Phase 1

Population ML

Train baseline models on aggregated data. Establish population benchmarks.

Phase 2

Personalized Adapters

User-specific fine-tuning layers. LoRA-style adapters (1-10M params per user).

Phase 3

Multi-Modal Fusion

Cross-modality attention. Unified embeddings across all data types.

Phase 4

Predictive Intelligence

Next-day forecasting. Intervention optimization. Causal inference.

Phase 5

Federated Learning

On-device training. Privacy-preserving model updates. Decentralized intelligence.