Skip to main content

MiiHealth AI

Category: AI in Healthcare

Phoenix-based digital health startup building DAINA, an agentic AI medical assistant that autonomously conducts pre-visit patient intake and writes structured notes directly into the EHR. MiiHealth AI was founded in 2018. The company is led by Kelvin Summoogum. Based in Phoenix, Arizona, USA. Team size: 1-10. Total funding raised: $2.8M. Latest round: Seed. Key investors include Russell Glass (Arteria Capital), physician angels, healthcare operators, digital health founders.

Founded
2018
Headquarters
Phoenix, Arizona, USA
Team size
1-10
Total funding
$2.8M

Value proposition

Automates patient intake end-to-end: DAINA calls patients in their preferred language before visits, conducts multi-turn clinical intake interviews using specialty-specific protocols, captures structured clinical histories and red flags, and writes clinician-ready notes directly into the EHR — giving providers back 2+ hours per day and saving ~8 minutes per visit.

Products and solutions

DAINA (Dynamic AI Intake and Navigation Agent) — autonomous outbound intake calls, multilingual voice-based interviews, automatic generation of structured EHR-ready intake notes, MediiFlow intake automation engine, integration layer via HL7v2 and other standards.

Unique value

First agentic AI medical assistant purpose-built to automate patient intake — shifts intake work upstream and out of the exam room, preparing the chart before every visit without requiring the provider to be present, and works across 70% of the country's EHR landscape.

Target customer

Health systems, medical groups, specialty clinics (cardiology, orthopedics, oncology, dermatology, transplant), and virtual-first providers.

Industries served

Healthcare (patient intake, clinical documentation, EHR integration), specialties: cardiology, orthopedics, oncology, dermatology, transplant.

Technology advantage

Agentic AI with specialty-specific clinical protocols; multilingual natural-language voice interviews; autonomous outbound calling; direct EHR note generation with HL7v2 integration; enterprise-grade security and auditability; clinically validated at Mayo Clinic (200+ patients, 90%+ rated 4-5/5).

How they differentiate

Unlike ambient documentation players (Abridge, Ambience, Suki) that focus on scribing during visits, MiiHealth AI focuses specifically on the pre-visit intake bottleneck — autonomously calling patients ahead of appointments and preparing the chart before the provider sees the patient, without requiring clinicians to change how they practice.

Main competitors

Abridge, Ambience Healthcare, Suki, Notable, Hippocratic AI, Assort Health, Infinitus Systems, Anterior

Key partnerships

Mayo Clinic (know-how agreement, cardiology pilot led with Reza Arsanjani, M.D.), graduated from ASU + Mayo Clinic MedTech Accelerator, plans to integrate with Athena, Epic, and Cerner EHRs.

Notable customers

Mayo Clinic (cardiology pilot via know-how agreement)

Major milestones

Founded 2018 (as MiiCare/MiiHealth, London), relocated HQ to Phoenix in 2024, graduated from ASU + Mayo Clinic MedTech Accelerator, pivoted to AI-focused MiiHealth AI spinoff, entered know-how agreement with Mayo Clinic and completed cardiology pilot (200+ patients), closed $2.8M seed round (Aug 2026).

Growth metrics

Saves providers ~8 minutes per visit (avg); 1,276 hrs provider time saved per month; 27% provider cost savings per month; +27% monthly patient throughput potential; 93% of patients report DAINA easy to use; 450+ providers; 200+ patients in Mayo Clinic pilot.

Market positioning

Emerging player in the agentic AI patient-intake segment of healthcare AI, differentiated by autonomous outbound intake calls and specialty-specific protocols; validated in demanding clinical environments (Mayo Clinic cardiology).

Geographic focus

United States (HQ Phoenix, Arizona; expansion across US health systems)

About Kelvin Summoogum

Founder & CEO of MiiHealth/MiiCare (healthtech, founded 2018 after grandmother's fall); Doctoral Researcher in Machine Learning & Data Analytics at De Montfort University (2017-2024); prior roles at De Montfort University, University of Kent, and IBI Group; MIT education.

Latest news about MiiHealth AI

More AI in Healthcare companies

Official website: