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Clinical AI that follows the clinical conversation
AI sits at your back,
follows the patient conversation,
and helps surface what you might miss.
AetherHeal structures clinical conversations in real time, supporting physician reasoning and documentation inside the workflow.
Real-time conversation structure
Reasoning and note support
Final physician judgment
Clinical support active
AetherHeal Clinical OS
Clinical Copilot
Clinical Responsibility Loop
The product unit is not the model. It is the clinical responsibility loop.
AetherHeal is not software that extracts an answer from a transcript. It connects listening, context, gap detection, physician review, documentation, and follow-up in the order real care happens.
Reduce avoidable cognitive noise while preserving clinical responsibility.
Listen
Listen
A patient story rarely starts as clean data. Concerns, expectations, anxiety, and history are captured as clinical context.
Patient expectations and easily missed wording remain available for physician review.
Documentation & risk management
The record itself becomes a safeguard.
The medical record is central to after-the-fact adequacy review and to preventing disputes. Clinical Copilot drafts in a Problem Oriented Medical Record (POMR) structure, separating the basis, assessment, plan, and documentation gaps for each problem. It reflects the Korean Medical Association mutual-aid association guidance so it is designed to check statutory record items, and we are strengthening the e-signature and record-integrity safeguards in line with Medical Service Act Article 23.
POMR structure separates basis, assessment, and plan per problem
Checks statutory items: chief complaint, diagnosis, course, treatment, datetime
Surfaces e-signature, approval state, and audit log
A draft becomes a record only after physician review and approval. Fully meeting legal e-signature and EMR preservation and integrity requirements is a separate implementation scope.
One engine
More specialties, still one engine
The method we are validating first in skin and wounds is designed to carry over to other specialties such as internal medicine, emergency, ophthalmology, and dentistry. Structuring the visit conversation, reasoning over it with specialty AI, and having a physician review it into the record works the same way whatever the specialty. Because each new specialty reuses the same engine, we do not rebuild a field from scratch.
One engine
Structure the visit
Specialty reasoning
Physician review
Record
Skin
DermatoScan
Wounds
WoundScan
Internal medicine
PlannedEmergency
PlannedOphthalmology
PlannedDentistry
PlannedWe are validating skin and wounds now, and plan to extend to other specialties the same way.
AetherHeal Platform
We turn the whole clinical loop into the product.
Dockie-talkie, DermatoScan, WoundScan, and Clinical Copilot do not end as isolated features. They connect into one responsibility flow across physician review, documentation, and follow-up.
Layer 2Vertical
Specialty AI
Expanded by validation scope
Clinical validation
DermatoScan AI
Specialty AI · Skin & pigmentation
Organizes imaging and device inputs for pigmented-lesion assessment. Validation scope is expanding from more than 50 early cases.
Co-development
WoundScan AI
Specialty AI · Plastic surgery & wounds
An R&D project for wound image quantification and progress documentation, with scope and review criteria designed with clinical advisors.
Medical Vertical AI Platform
Third-party medical vertical AI is welcome.
AetherHeal is not only shipping its own products. We are building a platform where medical vertical AI can run on top of shared clinical infrastructure. Teams with an existing vertical AI can plug into AetherHeal; if a hospital needs a new AI workflow, our team can go on site, observe the clinical operation, and co-design and build it with clinicians.
Third-party vertical AI onboarding
On-site co-development
Connected to Layer 1 shared infrastructure
Layer 1Horizontal
Shared infrastructure
Across outpatient care
Beta · field validation
Dockie-talkie
Shared infrastructure · Real-time medical interpretation AI
Interprets conversations between clinicians and international patients in real time, lowering the language barrier inside the consultation room. It helps physicians extend their practice across more languages and become truly global clinicians.
R&D
Clinical Copilot
Shared infrastructure · Clinical review support
A shared assistance layer that surfaces information and evidence for clinician review. Real reasoning screens and review loops are already in development, improving through clinician feedback and an agentic development loop.
Layer 0Foundation
AetherHeal Clinical OS
The operating layer every encounter flows through: booking, reception, consult, billing, and records.
Agent Mode
Ask the AI about today’s operations and the selected patient’s context.
Live operations board
Booking, reception, consult, prep, procedure, and discharge in one view.
Early partner onboarding in progress
We are looking for clinics to validate physician-assisted workflows in high-value outpatient care.
Clinics that join now participate while the standard is being shaped, not after the product is finished. We start where explanation, expectation alignment, documentation, and follow-up matter most.