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Early adopter clinics
Medical AI built into your clinical workflow
starts with shared infrastructure
Bring in the shared infrastructure for interpretation and records first, then add the specialty AI that fits your department on top. The clinical flow gets smoother, and responsibility for judgment stays with the physician.
Clinics that join now do more than adopt a finished product: they help shape the operating standard while it is still being defined.
A platform clinics can adopt in stages
Layer 2 · Specialty AIKRW 150,000 / seat·mo each
Layer 1 · Shared foundationKRW 100,000-150,000 / seat·mo
Layer 0 · Records & operationsKRW 150,000 / seat·mo
What clinicians doFinal decision on diagnosis and treatment
WHAT YOU CAN ADOPT
A platform clinics can adopt in stages
Start with the shared foundation, then add validated specialty AI as your needs expand.
Layer 2 · Specialty AISpecialized applications for individual clinical fields
KRW 150,000 / seat·mo eachLayer 1 · Shared foundationShared across outpatient specialties
KRW 100,000-150,000 / seat·moLayer 0 · Records & operationsThe operating base across every care step
KRW 150,000 / seat·moClinical OSBooking · reception · consult · billing · records
Third-party AI onboarding ecosystem
Using our internally validated AI as the standard, we plan to open the shared foundation to specialty AI from third-party developers. Clinics will be able to add new modules without rebuilding the underlying infrastructure. The commercial onboarding model is still being defined.
Pricing
Per physician seat, monthly
Start with the AI-based chart (Layer 0), then add features like plugins. All prices are per physician seat, per month.
All-access
Full platform, unlimited
Unlimited use of every product: Clinical OS, real-time interpretation, the reasoning agent, and all vertical AIs.
KRW 400,000 / mo
per physician seat
Layer 0AI-based chart (Clinical OS)
KRW 150,000 / moLayer 1Real-time medical interpretation (Dockie-talkie)
KRW 100,000 / moLayer 1Real-time clinical-reasoning agent (Clinical Copilot)
KRW 150,000 / moLayer 2Specialty vertical AI (DermatoScan, WoundScan, and more)
KRW 150,000 / mo eachBundle discount
Bundle more features and each added item earns another 5% off.
2 items 5%3 items 10%4 items 15%
All prices are per physician seat per month and may change before launch.
AI / CLINICAL BOUNDARY
AI supports; clinicians decide
Every AetherHeal product is designed around clinician authority. AI organizes information for review, while diagnosis and treatment decisions remain with licensed professionals.
What AI doesSurface relevant protocols and supporting references
AI / CLINICAL BOUNDARY
What clinicians doFinal decision on diagnosis and treatment
What clinicians do
- Final decision on diagnosis and treatment
- Clinical judgment on patient condition and suitability for procedure
- Review, responsible adoption, modification, or rejection of AI suggestions
- Build trust and explain decisions to patients
What AI does
- Present specialty decision-support information, such as lesion-to-device mapping
- Reduce language barriers through real-time, two-way medical interpretation
- Surface relevant protocols and supporting references
- Structure records and quantify clinical outcomes
AI augments rather than replaces clinicians. Its suggestions remain subject to clinician review, and the physician retains final judgment and responsibility.
ADOPTION EFFECTS
What adoption can change for clinics
Clinical context becomes easier to review, specialty support follows validated standards, and billing remains independent of procedure price.
01
Clinical context, ready for review
Shared interpretation and information-structuring tools can reduce the cognitive load of language and administrative work, helping clinicians focus on judgment. In international care, clinics are also less dependent on interpreter schedules.
02
Consistent records, cumulative data
When AI structures clinical context and outcomes, consultation and procedure records remain consistent instead of fragmenting across systems. The resulting quantitative data can support follow-up care and become a long-term institutional asset.
03
Validated specialty decision support
DermatoScan AI supports lesion-to-device review using criteria refined through an initial set of more than 50 validation cases at Apgujeong Tune Clinic. Partner clinics can begin with a consistent, clinically informed reference standard.
04
Billing independent of procedure price
Revenue is clinic-subscription based, so it is not tied to procedure price or type. There is no reason to push a particular treatment to earn more, so adoption does not distort clinical judgment.
PARTNER NETWORK
Clinicians and academic partners refine the platform together
Early partner clinics and university research channels back AetherHeal's clinical validation and expansion. Beyond any single hospital's case, the product is refined on a network of many specialist physicians.
University of Ulsan academic partnership
WoundScan AI is being co-developed with Professor Won Ha of the University of Ulsan, CEO of PL Therapeutics. The collaboration brings clinical practice and academic research into the product while connecting early partner clinics with a structured research channel.
Member of the NVIDIA Inception program
Frequently Asked Questions
Frequently asked questions before adoption
Key questions about pricing, timeline, data security, responsibility, and scope.
Pricing is a monthly subscription per physician seat: the AI chart at KRW 150k as the base, with real-time interpretation (100k), real-time reasoning (150k), and specialty vertical AI (150k each) added per seat, or an all-access plan at KRW 400k per seat. Figures may change before launch. Pricing is set independently of procedure price or type, so there is no financial motive to push a particular treatment. Clinics usually adopt the shared infrastructure first, then add specialty AI in stages, and we shape the configuration around the clinic's specialties and share of international patients.
AetherHeal products are designed to support and organize clinical context. Patient data is handled only for agreed clinical purposes. Data-processing scope, retention, and security terms are defined with each clinic before deployment and documented in the applicable agreement.
AI supports clinicians; it does not replace them. Information such as lesion-to-device mapping and protocols is presented only for review. Licensed clinicians retain final authority and responsibility for diagnosis and treatment and may accept, modify, or reject any suggestion.
Dockie-talkie and Clinical Copilot form a shared infrastructure layer designed for use across outpatient departments. Clinical Copilot is advancing through working console development, live reasoning loops, clinician feedback, and agent-assisted iteration. Specialty modules include DermatoScan AI for pigmentation care, currently in clinical validation, and WoundScan AI for wound care, currently in development.
DermatoScan AI is undergoing clinical validation at Apgujeong Tune Clinic with an initial set of more than 50 cases involving freckles, lentigines, and melasma. The product is refined using clinical feedback, including pretreatment criteria for sensitive conditions such as melasma. WoundScan AI is being co-developed with Professor Won Ha of the University of Ulsan, CEO of PL Therapeutics. Both products are being developed through a network of early clinical partners and academic channels.
No. Clinics can begin with the shared infrastructure for interpretation and information organization, then add specialty AI in stages. The rollout can expand as the clinic’s needs and operational readiness evolve.
ONBOARDING PROCESS
A staged onboarding process
We move from shared infrastructure to specialty AI in steps tailored to the clinic’s workflow and readiness.
1Step 01
Discovery and workflow assessment
We recommend a configuration based on the clinic’s specialties, international-patient volume, and current interpretation and documentation workflows. Cost, scope, and data-processing terms are agreed at this stage.
2Step 02
Deploy shared infrastructure
We first establish shared infrastructure such as Dockie-talkie for interpretation and information organization. Because it works across specialties, multiple outpatient departments can use the same deployment.
3Step 03
Add specialty AI
We add modules such as DermatoScan AI where they fit the clinic’s specialty and workflow. Validated criteria are presented as reference information, and clinicians decide whether to adopt each suggestion.
4Step 04
Operations and expansion
We adjust scope from operating data and expand in stages on the same infrastructure as newly validated specialty AI becomes ready. Adoption is not a one-time finish; it is a process we refine together.
Request a 15-min meeting
If you're considering adoption
We'll map a configuration to your clinic in a 15-minute call. Reach out anytime.