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Top Ai Drug Discovery Companies in South Korea

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18 companies for Ai Drug Discovery in South Korea

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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

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

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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.

PROTEINA's Logo

PROTEINA

South Korea

A

- Employees

2015

Key takeaway

Proteina is focused on developing innovative diagnostic strategies that enhance targeted treatment for cancer and other diseases. Their unique expertise in protein interactions may play a significant role in advancing precision medicine.

Reference

Core business

Proteina | Protein-Protein Interactions | About Us

Proteina creates novel technology that analyzes Protein-Protein-Interactions in new ways. Learn more about our company, our mission, and our technology.

BIORCHESTRA's Logo

BIORCHESTRA

Chungju-si, South Korea

A

1-10 Employees

2016

Key takeaway

At BIORCHESTRA, the focus is on developing innovative RNA medicines and delivery systems that address significant unmet medical needs, particularly in neurodegenerative and rare diseases. Their advanced technology enhances the targeted delivery of RNA therapeutics, which could be pivotal in the realm of drug discovery.

Reference

Core business

BIORCHESTRA – Innovative RNA Therapeutics

PI IP LAW's Logo

PI IP LAW

Seoul, South Korea

A

11-50 Employees

2013

Key takeaway

PI IP LAW highlights the innovative applications of artificial intelligence across various business sectors, emphasizing its potential beyond just internet or software companies. Their expertise in AI solutions positions them as key players in leveraging this technology for advancements in areas like drug discovery.

Reference

Service

Artificial Intelligence | PI IP LAW

The application of AI is not limited solely to internet or software companies, but it offers various opportunities for all business sectors and industries. At PI IP LAW, we understand the potential an ...


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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 manufacturers13
Amount of suitable service providers4
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, Medical, IT, Software and Services, Other, Human Resources

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Ai Drug Discovery results by various countries

Related categories of Ai Drug Discovery