Health data is everywhere. Whoop tracks your sleep. MyFitnessPal logs your meals. Strong counts your reps. Your journal captures your mood. Your cycle app knows your hormones.

None of them talk to each other. $68B in corporate wellness spend, and not a single platform can answer: "Why do my Thursdays suck?"

That question requires correlating sleep, nutrition, training load, stress, and cycle data. Today, that's impossible. Users are drowning in apps but starving for insight.

MindMirror is the intelligence layer that sits on top of health data. Not another tracker. Not another dashboard. The reasoning engine that connects the dots.

That's not a query to us. It's a cross-domain reasoning task. We pull your sleep scores, meal timing, workout intensity, journal sentiment, and cycle phase. We find the pattern. We tell you: "Your Thursday crashes correlate with Monday heavy squats + Tuesday late eating + Wednesday poor sleep. You're hitting a cumulative fatigue wall."

No other platform can do this. Because no other platform was built for it.

Tri-layered data architecture purpose-built for health intelligence:

This isn't a feature. It's infrastructure moat. Competitors would need 18+ months to replicate. By then, we own the protocol.

We're not building a consumer app. We're building Stripe for health intelligence.

Platform play: White-label the reasoning engine. Gyms, coaches, corporate wellness providers, telehealth platforms — they all need cross-domain insight. None of them can build it.

Revenue model: API calls + seats. $0.01/reasoning query. $50/seat/month for enterprise. 80%+ gross margins at scale.