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AutomateSleeping Giant

Luma Health

Luma Health is an AI-driven patient success platform that automates the patient journey. It manages processes from referrals and scheduling to intake, communication, and follow-ups. The platform utilizes AI-powered chatbots and an AI Navigator to handle live inbound calls and after-hours requests conversationally in multiple languages. It offers comprehensive tools for digital intake, eligibility checks, and payments, with a focus on deep EHR integration, including systems like Epic and athenahealth. Specific features include Fax Transform for closing care gaps from faxed results and the ability to create no-code AI workflows.

Paid · Web, iOS, Android · API

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Pricing Plans

BasicFree

Access to essential features · Limited AI capabilities

ProContact for pricing / monthly

Full access to all features · Advanced AI workflows · Customization options

Overview

Luma Health is an AI-driven patient success platform that automates the patient journey. It manages processes from referrals and scheduling to intake, communication, and follow-ups. The platform utilizes AI-powered chatbots and an AI Navigator to handle live inbound calls and after-hours requests conversationally in multiple languages.

It offers comprehensive tools for digital intake, eligibility checks, and payments, with a focus on deep EHR integration, including systems like Epic and athenahealth. Specific features include Fax Transform for closing care gaps from faxed results and the ability to create no-code AI workflows.

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Luma Health

Paid · Web, iOS, Android · API

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Stork Quadrant

Sleeping Giant· 36/100

Has a real moat but invisible to agents. Add an MCP and you'd climb.

“Luma survives because it sits inside healthcare's regulatory moat and owns the EHR integration layer. An LLM can draft a follow-up message, but it can't authenticate into Epic, pull live eligibility data, process HIPAA-compliant payments, or coordinate across multiple systems without Luma's rails. The trust moat is real — healthcare providers need someone to bear liability when a patient doesn't get scheduled or a referral fails. The data moat (EHR records, patient history, eligibility signals) is constantly refreshing and proprietary to each customer.”

— Claude Haiku 4.5, scored 2026-07-17

Defensibility · 57/100

  • Physical-world coupling
  • Regulatory moat
  • Network liquidity
  • Proprietary refreshing data
  • High-trust catastrophic workflows
  • Multi-party coordination
  • Brand / community / taste

An LLM alone could replace

  • Generate patient intake forms and questionnaires
  • Draft follow-up communication templates and reminders
  • Transcribe and summarize patient calls
  • Create no-code workflow logic for simple routing rules

Agent-Readiness · 10/100

  • Verified MCP
  • Listed on agent surfaces
  • Usage-based pricing
  • Headless agent auth
  • Public OpenAPI— https://api.lumahealth.io/openapi.json
  • Active changelog
  • llms.txt

How to defend

Double down on EHR depth, not breadth. Own the Epic and athenahealth integrations so deeply that switching costs become prohibitive. Build proprietary models trained on de-identified patient outcome data to predict no-shows and eligibility denials — that's defensible data competitors can't buy.

  • Ship an MCP server and list it on Stork — biggest single point gain (+25).
  • Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
  • Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
  • Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
  • Publish a public changelog and ship in the last 90 days — silence reads as abandonment (+10).
How this score is computed →See the full quadrantHow to defend
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