# MiiHealth AI Closes $2.8 Million Seed to Automate Patient Intake

> MiiHealth AI, a Phoenix-based startup, has closed a $2.8 million seed round to attack one of healthcare's most tedious bottlenecks: patient intake and clinical documentation. The company's agentic assistant, DAINA, is designed to gather patient information and draft the paperwork that normally eats into a clinician's day, with the pitch that it can hand providers back roughly two hours of time. The round was led by Russell Glass, founder of Arteria Capital and a former Headspace chief executive, and drew a roster of physician angels, healthcare operators, and digital-health founders. That kind of investor base matters in medicine, where distribution and clinical trust often decide whether a tool ever reaches real exam rooms. The money will go toward expanding engineering, widening the set of specialty protocols the system supports, deepening clinical safety work, and speeding up integrations with electronic health record systems, the notoriously stubborn software every hospital runs on. It is a small raise by AI standards, but it targets a genuine and unglamorous pain point, the sort of applied automation that tends to stick when it works.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: AZBio · Published Saturday, August 15, 2026_

## Wortins' read

MiiHealth AI, a Phoenix-based startup, has closed a $2.8 million seed round to attack one of healthcare's most tedious bottlenecks: patient intake and clinical documentation. The company's agentic assistant, DAINA, is designed to gather patient information and draft the paperwork that normally eats into a clinician's day, with the pitch that it can hand providers back roughly two hours of time. The round was led by Russell Glass, founder of Arteria Capital and a former Headspace chief executive, and drew a roster of physician angels, healthcare operators, and digital-health founders. That kind of investor base matters in medicine, where distribution and clinical trust often decide whether a tool ever reaches real exam rooms. The money will go toward expanding engineering, widening the set of specialty protocols the system supports, deepening clinical safety work, and speeding up integrations with electronic health record systems, the notoriously stubborn software every hospital runs on. It is a small raise by AI standards, but it targets a genuine and unglamorous pain point, the sort of applied automation that tends to stick when it works.

## Source

[Read the full story at AZBio](https://www.azbio.org/miihealth-ai-closes-2-8m-seed-round-to-reinvent-patient-intake-and-give-providers-back-two-hours-a-day/)

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