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닥터얼라인나비: 스캔에서 플랜까지 단 몇 분 안에
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닥터얼라인나비: 스캔에서 플랜까지 단 몇 분 안에

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innoDtech Inc.

One-Line Product Definition

A real-time orthodontic diagnosis and simulation platform that automates the creation of clear aligner treatment plans with AI, reducing orthodontists' treatment design time from hours to 3 minutes.

Problem Definition

In clear aligner treatments (such as Invisalign), orthodontists had to spend hours developing treatment plans, and the quality of the plans varied depending on the specialist's skill level. Complex cases, in particular, took longer due to the difficulty in predicting each treatment stage, and patients found it difficult to understand the plan results, leading to low trust and cooperation during the treatment process.

Furthermore, non-specialized dental clinics found it difficult to create plans at the level of orthodontic specialists, resulting in a medical gap where many patients flocked to large, specialized orthodontic hospitals. Overall, the inefficiency and inconsistency of the manual orthodontic planning process were the limitations of the existing method.

Key Differentiators

Dr. Align Navi uses a deep learning engine trained on over 10,000 cases of orthodontic clinical data to analyze a patient's 3D oral scan data, automatically generating the entire process from tooth segmentation/alignment and malocclusion diagnosis to step-by-step tooth movement paths within 3 minutes.

The AI evaluates biomechanical validity (considering root resorption, etc.), patient compliance, and difficulty, and suggests an optimized treatment plan, resulting in high reliability. Based on Explainable AI (XAI),evidence (accuracy, risk)is provided for each plan, allowing dentists to use it with confidence.

In addition, the dashboard UI allows comparison of 5 different strategies, provides predictive risk analysis, and real-time simulations, allowing both dentists and patients to immediately see the results of various scenarios in 3D graphics. This allows patients to easily understand the treatment results and participate in the selection process, while dentists can obtain highly accurate plans without manual adjustments, significantly reducing chair time, which is a key differentiating advantage.

In particular, its modular SaaS structure allows for flexible adjustment and integration to suit the regulations and manufacturing processes of each country, making it advantageous for global expansion.

Key Adopters

Dental clinics and hospitals are the main customers, especially specialized orthodontic clinics, as well as general dental clinics that can adopt it to easily provide orthodontic treatment (B2B).

Clear aligner manufacturers or dental labs can also integrate this software into their back-end to link treatment planning and device manufacturing. In addition, the solution can be bundled through OEM/partnerships with global dental supply companies, and dental colleges/educational institutions may also adopt it for student education.

Since this product is not directly used by individual patients, B2C is not applicable. The business model will be a cloud-based service where dental clinics pay a monthly subscription fee. In addition, a strategy of signing B2B2G contracts with dental associations or medical groups in each country to supply it as a regional standard tool is also anticipated.

Scalability

This solution is designed with module-by-module independence (diagnosis, simulation, prediction, etc.) to suit the dental medical environment of each country, making it easy to adapt to local regulations and treatment practices. It already complies with international medical SW standards such as ISO 13485 and IEC 62304, meeting the basic requirements for global expansion.

With real-time STL output and API integration, the design-manufacturing-verification pipeline is connected as one, so it can be expanded to a fully automated clear aligner manufacturing process in the future. This is an element that can accelerate the digital transformation of the orthodontic industry as a whole, and in the future,other dental treatments (implant planning, etc.)can also be expanded.

The dental market has relatively low regulatory barriers and is driven by the private sector, so it can spread quickly if product quality is proven. In particular, a competitive or collaborative structure may be formed with Align Tech, the world's No. 1 company in the orthodontic field, and if the technological competitiveness is sufficient, the market structure itself may be reorganized.

Judges' Evaluation

Through winning the CES 2026 Innovation Award,it raised expectations that "AI will change the landscape of orthodontics."The fact that it completes tasks that used to take hours in just 3 minutes has been greatly highlighted, and there is high interest in the dental industry.

Experts say that it is"a win-win solution for both patients and doctors,"and especially noted the improvement in patient communication and the possibility of non-specialists providing orthodontics.

In terms of technical completeness, it is evaluated that stability has already been proven through several clinical application tests, and credibility has been established due to the background of experts from domestic dental universities who founded the company.

Market expectations are quite high in line with the rapid growth of the global clear aligner market, and it is receiving media attention both domestically and internationally as Korean technology challenging Align's monopolistic market. However, the fact that the amount of data accumulated is not absolutely large compared to competitors, and the resistance to AI from some conservative orthodontists are pointed out as risks, but overall, expectations are high rather than being underestimated.

Analyst Insights

🔥 High Marketability / Feasible Business Connection – Likely to become a key tool for the digitalization of orthodontics, and has high potential for commercial success by growing into a game changer in the global orthodontic market.

The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)

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