Pause-Health.AI · Premium FemTech Intelligence
Elevating menopause care with precision, empathy, and clinical AI
Waking at 3 a.m. drenched in sweat. Losing words mid-sentence. Feeling anxious for no reason you can name. Aching joints, a racing heart, a body that suddenly feels unfamiliar. If that sounds like you — you're not imagining it, and you're not alone. Two-thirds of women are initially misdiagnosed, and the average wait for an accurate answer is 2.5 years. Pause helps bring your whole story together — sleep, mood, cycles, hot flashes — and points your care team toward the right next step sooner, with every step explainable.
For care teams, that becomes a refined decision layer for perimenopause and menopause: multimodal signal intake, clinically explainable triage, and personalized next-step pathways designed for women in midlife. Built provider-first on Salesforce Health Cloud, MuleSoft, and the JupyterHealth FHIR substrate.
- Women in perimenopause / menopause (US) EstimateCensus-derived market size, ages 40-60.50M+
- Initially misdiagnosed ResearchLiterature-derived; avg ~2.5 years to accurate diagnosis.~67%
- AI-assisted triage accuracy TargetEngineering target; measurement plan in /proposal/insights.89%
- Provider-first deployment Wired in prototypeSalesforce Health Cloud + Agentforce live in prototype.Phase 1
Built by Maggie C. Hu · LinkedIn · Founder. Reach out at /contact.