MyLÚA Health

Provided by MyLUA Health Inc.
Agentic AI platform that streamlines maternal support with personalized guidance, benefit navigation, and automated insights for organizations.
Overview

An AI-powered maternal wellness platform delivering empathetic and personalized, multilingual support to mothers, doulas, and health organizations. Built on an agentic, MCP-ready architecture with IBM watsonx, it transforms emotional, physical, and social data into actionable insights, conversational analytics, and coordinated benefit guidance. Deployable across mobile, web, and enterprise embed for scalable maternal support across clinical, community, and employer ecosystems.

  • Industries
  • Healthcare
  • Healthcare providers
  • Social services
  • Software and platform applications
  • Topics
  • AI and ML
  • Deployment types
  • SaaS
  • Languages supported
  • English
  • Regions and countries supported
  • Americas - United States of America
Benefits Improved Benefit Utilization
Surfaces relevant maternal benefits at the right moment, increasing activation and reducing avoidable care gaps across populations.
Multilingual, Evidence-Based Education
Delivers warm, accessible support in the user’s preferred language, powered by RAG-based, evidence-driven maternal health guidance.
Conversational Analytics for Faster Insights
Transforms emotional, physical, and social signals into real-time insights through conversational queries—no dashboards required.
Reduced Documentation Burden
Automatically generates structured summaries from conversations, reducing manual reporting for doulas, care teams, and HR staff.
Key features
Agentic AI delivers personalized guidance, education, and resource navigation through a warm, natural conversational interface.
Deploy via native mobile apps, web, or no-code embeds in HR, clinical, or community portals for seamless workflow integration.
Authorized staff can query individual or population insights and receive structured summaries and visual responses in chat.
Automatically translates conversations (multilingual) and delivers trusted, evidence-based maternal health content using a custom RAG system.
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