05    ABOUT

A clinical AI engineering
practice.

RGT Health is the medical AI practice of Really Great Tech. We build deep learning systems, generative AI agents, and ML infrastructurefor hospitals, pharma, and medical device teams and we stay until the model runs.

THE PRACTICE

Most clinical AI never reaches the patient. Models stall in notebooks, pilots can't pass IT review, and engineering teams aren't fluent in DICOM, FHIR, or the realities of a hospital network. We close that gap.

Founded as the medical AI practice inside Really Great Tech, RGT Health brings ten years of regulated-software craft to the
messiest part of clinical AI: the crossing from research artifact to live deployment. We embed with clinicians, ship production-grade systems, and stay on for MLOps handoff and on-call SLAs.

50+
Clinical & pharma deployments
12
Average weeks lab → production
100%
HIPAA / GDPR aligned
10 yrs
Regulated-software craft
SCIENTIFIC ADVISORY BOARD

Clinical and scientific gravity behind every engagement.

World-leading researchers in medical AI, ophthalmology, and computational
physiology guide our scientific direction and review the work that ships.

FIG. 01

Alon Harris

Vice Chair, International Research & Academic Affairs

Icahn School of Medicine at Mount Sinai

Ophthalmic AI · Ocular blood flow · Glaucoma

Internationally recognized clinical research scientist; Professor of Ophthalmology and of Artificial Intelligence & Human Health. Co-Director, Center for Ophthalmic Artificial Intelligence and Human Health. 419+ peer- reviewed papers; co-founder of the Society for Artificial Intelligence in Vision and Ophthalmology.

FIG. 02

Giovanna Guidoboni

Dean, Maine College of Engineering and Computing

University of Maine

Mathematical modeling · Data science for life sciences

Inaugural Dean of the Maine College of Engineering and Computing and Interim VP for Research at the University of Maine. AIMBE College of Fellows; member of the European Academy of Sciences and Arts. Research spans ocular blood flow, computational physiology, and non-invasive health monitoring.

GET IN TOUCH

Ready to scale your
clinical AI?

Two weeks. A working prototype. No retainer.

A clinical AI engineering practice. We build deep learning systems and production ML for hospitals, pharma, and medical device teams.
© 2026 ReallyGreatTech · Tel Aviv · New York
HIPAA · GDPR · SOC 2 · HL7/FHIR