Pause-Health.ai · Premium FemTech Intelligence
Pause gives care teams 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.
Built by Maggie C. Hu · LinkedIn · Founder | CEO | CTO. Reach out at /contact.
Today's reality
Provider-graph Phase 2 shipped. Five counts below ride on the response of every /api/mulesoft/providers call under provenance.dataset — a reader can verify them in one shell command. Insurance acceptance is synthetically derived per-NPI today (the chips are a soft filter, not a guarantee); MSCP coverage waits on a Menopause Society partnership. Closed-loop outcomes scoring activates with referral volume.
What's live today
Four end-to-end capabilities you can run against the prototype right now. Each card opens the matching /demo page where the persona, the API surface, and the trace spans are inspectable.
Pick a demo patient and watch the Data 360 dossier resolve before the conversation begins. Visible pre-brief panel + real Salesforce Embedded Messaging V2 widget.
Open →Deterministic risk-band gauge from intake scores, HRT suitability, and the Care Router pathway the clinician should expect. Same persona threads through the journey.
Open →Live policy + Claude Sonnet 4.5 decision (provider: anthropic / via: claude-api, confirmed in production) that emits one of six canonical pathways (self-care, MSCP virtual / in-person, behavioral health, urgent gyn, ED). A2A endpoint, traced end to end, with a graceful scripted fallback. Backed by 100 unit tests pinning the decision tree, the Data 360 grounding promotion rules, and the governance gate.
Open →Every Care Router decision emits OpenTelemetry-style spans (intake → identity → grounding → routing). Filter by persona, replay a trace, inspect the federated grounding.
Open →Built in the open — 175 commits since May 24, 2026.
For investors + partners
Two arcs: the investment thesis (strategy, market, customers, competition) and the architecture story (Agentforce, MuleSoft, MCP, Data 360, JupyterHealth, DBDP, Agent Fabric). Per-card proto-vs-prod tables and verifiable live API CTAs.
For builders + clinicians
Six demo personas, one persona-preserving journey: intake → Care Detail → Care Router → Agent Fabric trace inspector → outcome analytics. Real Salesforce Health Cloud grounding when configured; deterministic mock otherwise.
