- CompanyPause-Health.AI
- Founded2026
- HeadquartersIrvine, CA
- FounderMaggie C. Hu
- FocusProvider-first AI triage for menopause and perimenopause
- StageWired in prototypePre-design-partner; prototype open-sourced
- Codegithub.com/hucmaggie/pause-health.ai
Press kit
Press inquiries and brand assets.
For interviews, partnership announcements, or media coverage, here's everything you need to write about Pause-Health.AI accurately: pre-approved boilerplate, downloadable brand assets, the founder bio and headshot, and a fast inbox at info@pause-health.ai.
- Media contactinfo@pause-health.ai
- Response timeWithin 2 business days
- Brand assetsBelow · direct download
- FollowLinkedIn · @pause-health.ai
Boilerplate · Approved for citation
About Pause-Health.AI
Pause-Health.AI is a provider-first menopause intelligence company building the AI decision layer that care teams use to triage, ground, and route the 50M+ US women navigating perimenopause and menopause. The platform composes Salesforce Health Cloud + Agentforce, MuleSoft Anypoint, Model Context Protocol (MCP) servers, the JupyterHealth FHIR substrate, and Duke's Digital Biomarker Discovery Pipeline (DBDP) into a multi-agent fabric that delivers clinically explainable triage with end-to-end trace evidence.
Founded in 2026 and headquartered in Irvine, California, Pause-Health.AI operates as a prototype-in-the-open today: the architecture, demo journey, and integration code are public at github.com/hucmaggie/pause-health.ai. The company is actively recruiting design-partner provider organizations for 2026 - 2027 pilots.
Key facts
Founder bio

Maggie C. Hu
Founder, Pause-Health.AI
Maggie C. Hu is the founder of Pause-Health.AI, where she leads product, vision, and provider partnerships. Her background spans health-tech product leadership and applied AI, with a focus on building clinical software that care teams actually want to use.
She founded Pause-Health.AI to bring the same standard of precision, rigor, and empathy to menopause care that other transitions in modern medicine already enjoy. The company operates as a prototype-in-the-open, with its architecture and integration code published on GitHub.
For interview requests, please contact info@pause-health.ai · LinkedIn.
Brand assets
High-resolution logo files and the founder headshot for use in articles, decks, and announcements. Please don't alter the wordmark or recompose the icon. If you need a different format (SVG, EPS), email info@pause-health.ai and we'll get it to you within a business day.
Primary logo (color)
Full wordmark on transparent background. PNG, high-res.
Download →Logo (monochrome)
Wordmark, monochrome. Use against branded color blocks.
Download →Logo (mono on transparent)
Wordmark, monochrome, transparent background. Header use.
Download →Logo (for dark backgrounds)
Wordmark optimized for dark / black backgrounds.
Download →Icon mark
Standalone icon, square aspect. Favicons, social avatars.
Download →Founder headshot — Maggie C. Hu
High-resolution portrait for bylines and interview features.
Download →Milestones
Done so far vs. planned. The 2026 milestones below are pilled so a journalist can immediately distinguish what shipped from what's on the near-term roadmap.
Done
- Pause-Health.AI founded with provider-first AI thesis Shipped2026
- Prototype open-sourced (github.com/hucmaggie/pause-health.ai) Wired in prototype2026
- Care Router agent + Data 360 grounding wired against Salesforce Health Cloud Wired in prototype2026
Planned
- Clinical advisory board formed across OB/GYN, endocrinology, primary care Planned2026 - 2027
- First design-partner provider organizations onboarded Planned2026 - 2027
- Pilot deployments with provider organizations Future2027
For editorial depth
Architecture story
Per-substrate deep dives on the investor brief: Agentforce, MuleSoft, MCP, Data 360, JupyterHealth, DBDP, the Agent Fabric. Each page is proto-vs-prod honest with live API CTAs.
Open the investor brief →Working surfaces
Five demo pages walk through intake → Care Detail → Care Router → Agent Fabric trace inspector → outcome analytics. Useful for screenshots and product walkthroughs.
Open the prototype →Source code
The full integration code, demo personas, and architecture docs are public. Useful for technical features and architecture profiles.
Open the repository →