Hospital labor automation and workforce optimization platform
Vitalize builds automation for hospital staffing, labor planning, and capacity—functions that still run on paper and spreadsheets across most health systems. The tech stack (Epic, UKG, Workday, HL7, React, PostgreSQL) reflects deep EHR and workforce-management integrations; active projects around autonomous scheduling, digital twins, and real-time workforce intelligence show the company is moving beyond simple labor-cost reporting toward autonomous decision-making. Hiring is heavily skewed toward senior engineering (10 of 12 roles), indicating rapid deployment complexity and a focus on enterprise configuration and data reconciliation at scale.
Vitalize automates staffing operations and labor planning for hospital systems. The platform integrates with major healthcare and workforce systems (Epic, UKG, Workday, Kronos) to replace manual spreadsheet-based planning with real-time decision support and autonomous scheduling. Founded in 2021, the company is based in San Francisco and operates as a private company serving top health systems across the United States. The product targets clinical leaders and operations teams looking to reduce labor costs, improve staff utilization, and match staffing supply to patient demand.
Core integrations: Epic Systems, UKG, Workday, Kronos, HL7. Frontend: React, TypeScript, Vite, Tanstack, Tailwind CSS. Backend/data: PostgreSQL, Drizzle. Internal tools: Linear, Slack, Notion, Figma, Intercom.
Autonomous nurse scheduling, real-time workforce intelligence, Epic EHR integration, dynamic digital twins of hospital operations, and self-service configuration portals for enterprise health systems.
Vitalize's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.