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Top Ai Drug Discovery Companies in South Korea

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23 companies for Ai Drug Discovery in South Korea

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Zymedi's Logo

Zymedi

Incheon, South Korea

A

11-50 Employees

2019

Key takeaway

ZYMEDI is focused on developing innovative therapies for challenging diseases, utilizing AI-assisted lead discovery and optimization to create first-in-class drugs. Their commitment to addressing unmet medical needs through precision medicine highlights their unique approach to drug discovery.

Reference

Core business

Zymedi - Home - Zymedi

ZYMEDI is expanding the promise of precision medicine OUR SCIENCE OUR PLATFORM OUR SOLUTION OUR APPROACH ZYMEDI is expanding the promise of precision medicine

Spidercore Inc.'s Logo

Spidercore Inc.

Daejeon, South Korea

A

1-10 Employees

2020

Key takeaway

Spidercore's S.Core platform utilizes a hyper-scale AI engine to analyze nucleotides, aiming to enhance gene therapy development. Their focus on AI-driven decision-making in biomedical care promises improved accuracy and efficiency in clinical practices.

Reference

Core business

Spidercore Inc.

Brightonix Imaging's Logo

Brightonix Imaging

Pyeongtaek-si, South Korea

A

1-10 Employees

2016

Key takeaway

The company is a global leader in innovative biomedical imaging solutions, including AI applications, which may be relevant to advancements in AI drug discovery. Their expertise in imaging technologies like PET could enhance the drug development process.

Reference

Product

AI Solutions - products - BRIGHTONIX IMAGING

PET/MRI

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AIMMO's Logo

AIMMO

Seongnam-si, South Korea

A

51-100 Employees

2016

Key takeaway

AIMMO is revolutionizing the AI landscape with its advanced machine learning workflows and tailored AI capabilities, which could have significant implications for AI drug discovery. Their focus on high-quality, structured data sets and 99.9% accuracy can enhance the efficiency and effectiveness of machine learning operations in the pharmaceutical sector.

Reference

Service

AIMMO | AI Data Company

AIMMO Core, Enabling a data-powered tomorrow, AI Data company AIMMO

Insilicogen's Logo

Insilicogen

Yongin-si, South Korea

A

11-50 Employees

2005

Key takeaway

Insilicogen has built a robust bio big data infrastructure over the past 20 years, positioning itself as a leader in data production, archiving, modeling, and analysis, which are crucial processes in AI drug discovery.

Reference

Product

Solution | Insilicogen, Inc.

New Era for Bioinformatics

Galux's Logo

Galux

Seoul, South Korea

A

11-50 Employees

2020

Key takeaway

Galux is transforming drug discovery through its innovative in silico technology that integrates physics, chemistry, and artificial intelligence. Their protein structure modeling platform, "GALAXY," is recognized as one of the leading methods globally, enhancing the drug development process.

Reference

Core business

갤럭스

Galux는 물리화학과 인공지능을 독창적으로 융합한 신약 설계 소프트웨어로 신약개발과정의 혁신을 이루고자 합니다

DongBangFTL's Logo

DongBangFTL

Hwaseong-si, South Korea

A

51-100 Employees

1990

Key takeaway

DongBangFTL is a leading company in the API industry, emphasizing its innovative research facilities and commitment to new drug development. With a strong export presence and established partnerships, they create an ecosystem for collaboration in the pharmaceutical sector.

Reference

Core business

DongbangFTL

AIRS Medical's Logo

AIRS Medical

Seoul, South Korea

A

11-50 Employees

2018

Key takeaway

AIRS Medical Inc. is revolutionizing the healthcare industry with its innovative, data-driven solutions, including an automated venipuncture system and an award-winning MRI enhancement technology. Their commitment to digital transformation and efficiency in medical procedures positions them as a key player in advancing healthcare delivery.

Reference

Core business

AIRS Medical Inc. – Official website of AIRS Medical Inc., Healthcare AI-Solution provider offering MRI Enhancement solution, Blood collection aid robits.

Onegene Biotechnology's Logo

Onegene Biotechnology

Seongnam-si, South Korea

A

- Employees

2016

Key takeaway

Onegene Biotechnology is focused on advancing drug development, particularly through multi-target approaches, which may align with interests in AI drug discovery. Their expertise in dissecting disease microenvironments and developing multi-specific drugs positions them at the forefront of innovative treatment strategies.

Reference

Core business

ONEGENE BIOTECHNOLOGY

Mediwhale's Logo

Mediwhale

Seoul, South Korea

A

11-50 Employees

2016

Key takeaway

The company focuses on early health risk detection through AI-powered retinal scans, which can predict various diseases, including cardiovascular and kidney conditions. Their Reti-Intelligence platform utilizes deep learning to analyze retinal images, providing a proactive approach to preventive healthcare.

Reference

Core business

Mediwhale | AI diagnostic solution

We believe that early detection is the best prevention. Our innovative diagnostic technology helps you take action before symptoms appear.


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Information about Ai Drug Discovery in South Korea

The AI drug discovery industry in South Korea presents a rapidly evolving landscape marked by significant opportunities and unique challenges. One key consideration is the regulatory framework, which is becoming increasingly supportive of innovative technologies. The Ministry of Food and Drug Safety (MFDS) oversees the approval process, emphasizing the need for compliance with both national and international standards. Researchers and companies must also navigate challenges such as data privacy concerns and the integration of AI technology with traditional drug development processes. The competitive landscape is characterized by collaboration between academia and biotech firms, fostering a vibrant ecosystem for innovation. South Korea's strong investment in research and development, alongside government initiatives promoting digital healthcare, enhances the country’s global market relevance. However, companies should be aware of the potential environmental impacts associated with drug manufacturing and the importance of sustainable practices in their operations. In summary, those interested in the AI drug discovery sector should focus on understanding regulatory compliance, forging partnerships within the local ecosystem, and addressing sustainability issues to leverage the growing market effectively. Additionally, staying informed about global trends and advancements in AI technologies will be crucial for maintaining a competitive edge in this dynamic field.


Insights about the Ai Drug Discovery results above

Some interesting numbers and facts about your company results for Ai Drug Discovery

Country with most fitting companiesSouth Korea
Amount of fitting manufacturers17
Amount of suitable service providers5
Average amount of employees11-50
Oldest suiting company1990
Youngest suiting company2020

Frequently asked questions (FAQ) about Ai Drug Discovery Companies

Some interesting questions that has been asked about the results you have just received for Ai Drug Discovery

Based on our calculations related technologies to Ai Drug Discovery are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)

The most represented industries which are working in Ai Drug Discovery are Biotechnology, IT, Software and Services, Medical, Other, Human Resources

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Ai Drug Discovery results by various countries

Related categories of Ai Drug Discovery