Investor summary

Premium menopause intelligence for modern provider organizations

Pause-Health.ai transforms fragmented menopause care into an elegant, measurable, and clinically explainable workflow built for provider excellence.

Part 2 · Deep dives

Customer Selection

Health system and value-based payer ICPs, buying committee, and market sizing.

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Customer Insights

Themes from 32 provider and 47 patient interviews — what they said, in their words.

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Data Inventory

Available menopause datasets, our data strategy, and the moats we accrue over time.

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Competition

DTC, employer benefits, EHR AI, generalist LLMs — landscape and where Pause wins.

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Digital Strategy

Architectural pillars, go-to-market motion, and defensibility flywheel.

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Technology Choices

Stack, AI approach, evaluation framework, and safety stance.

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JupyterHealth Integration

How Pause composes with JupyterHealth — open FHIR substrate and customer-controlled deployment.

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DBDP Feature Engineering

Wearable feature engineering via the Digital Biomarker Discovery Pipeline (Duke) — production-grade HRV, EDA, and accelerometer signals.

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Menopause Society

How Pause composes with The Menopause Society and the MSCP credential — referral, partnership, and earned trust.

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Provider Graph

A defensible menopause provider graph from CMS NPPES and state board data — ToS-clean, closed-loop, compounding.

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Agentforce Intake

Patient intake on Salesforce Agentforce Service Agent — runs on the substrate our health-system customers already operate.

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MuleSoft Integration

Integration plane on MuleSoft Anypoint — three-tier API-Led Connectivity stitching JupyterHealth, DBDP, and wearables into a single FHIR substrate.

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MCP Server

Pause as a tool surface for AI agents — a Model Context Protocol server fronting the MuleSoft Experience APIs for Claude Desktop, Cursor, and Agentforce.

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Agent Fabric

Four agents, two open protocols, one governed control plane — Agentforce + Anthropic Claude + Pause MCP + MuleSoft, orchestrated by Agent Fabric.

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Data 360

Unified patient memory grounded in Salesforce Data 360 — zero-copy federation across JupyterHealth, DBDP, and the EHR-of-record, making every agent visibly smarter.

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