Infrastructure line

Clinical OSPre-launch validationThe layer that holds purpose-built AI engines on one patient state under the director's authority
Dockie-talkiePre-launch validationMedical interpretation between patient and clinical team
Dockie-talkie Agent WheneverPre-launch validationEnglish guidance and staff handoff being prepared for approved patient messaging channels

Specialty vertical line

Dermatoscan AIPre-launch validationA skin-imaging reference workflow the physician reviews
WoundScan AIPre-launch validationResearch and joint development

University hospital line

Clinical CopilotPre-launch validationSupport for clinical reasoning, review, and the record
FirstcallPre-launch validationA screen where interns and residents organize on-call cases

Hospital AI transition Evidence

InsightsNotes from redesigning hospital work
Clinical safetyThe responsibility boundary, the loop, and the claim boundaries
WhitepaperThe architecture and the dated evidence, product by product
Research collaborationThe professor leads the question; we scope the rest

How we workWho builds this, and what we hold ourselves to
For investorsHow the business starts from one hospital job
Working hereClinical judgment and software execution on one team

15-minute fit call

Hospital AI transition
Evidence

Infrastructure line

Clinical OSPre-launch validationThe layer that holds purpose-built AI engines on one patient state under the director's authority
Dockie-talkiePre-launch validationMedical interpretation between patient and clinical team
Dockie-talkie Agent WheneverPre-launch validationEnglish guidance and staff handoff being prepared for approved patient messaging channels

Specialty vertical line

Dermatoscan AIPre-launch validationA skin-imaging reference workflow the physician reviews
WoundScan AIPre-launch validationResearch and joint development

University hospital line

Clinical CopilotPre-launch validationSupport for clinical reasoning, review, and the record
FirstcallPre-launch validationA screen where interns and residents organize on-call cases

InsightsNotes from redesigning hospital work
Clinical safetyThe responsibility boundary, the loop, and the claim boundaries
WhitepaperThe architecture and the dated evidence, product by product
Research collaborationThe professor leads the question; we scope the rest

How we workWho builds this, and what we hold ourselves to
For investorsHow the business starts from one hospital job
Working hereClinical judgment and software execution on one team

Insights

Notes from redesigning hospital work for an AI-native operating model

A record of the problems encountered in that redesign, the decisions they force, and the decisions later reversed. This is not a collection of success stories.

No articles have been published. The first will follow a completed transition review.

AetherHeal turns clinical expertise into software that carries responsibility.

We build what it takes for more people to reach care someone answers for.

Start

Hospital AI transition
15-minute fit call
Evidence

Product

Platform
Dockie-talkie Agent Whenever
Dockie-talkie
Clinical Copilot
Firstcall
Dermatoscan AI
WoundScan AI

Resources and governance

Clinical safety
Insights
Whitepaper
Research collaboration

Company

How we work
For investors
Working here

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Privacy Policy (KR)
Payment and Refund Policy (KR)
Marketing Communications (KR)

AI does not diagnose or decide treatment on its own.

Diagnosis and treatment are the physician's authority. The physician makes the corrections, handles the exceptions, and carries final clinical responsibility.

NVIDIA Inception Program member

Business registration no. 461-81-04200Room 523-6, Jongha Innovation Center, 32, Bongwol-ro 38beon-gil, Nam-gu, Ulsan, Republic of Koreadrjeeju@aetherheal.com