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Molcure
Tokyo, Japan
A
11-50 Employees
2013
Key takeaway
The company leverages over 1 billion proprietary biopharmaceutical data points, utilizing advanced AI and machine learning technologies to identify valuable antibodies and peptides. Through techniques like phage display and NGS, they collect and analyze big data to enhance drug discovery processes.
Reference
Core business
Molcure Inc. | Accelerating drug discovery
ONTROX
Osaka, Japan
A
1-10 Employees
2010
Key takeaway
ONTROX co., Ltd. specializes in big data analysis, which is highly relevant to the field of biotechnology.
Reference
Service
Service – Big Data Analysis | ONTROX co.,Ltd.
GenomeMiner (formerly Tupac.Bio)
Onna, Japan
A
1-10 Employees
2015
Key takeaway
GenomeMiner is focused on leveraging bioinformatics and high-performance computing to enhance the sustainable production of natural products and the discovery of novel compounds.
Reference
Core business
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ThinkCyte
Tokyo, Japan
A
11-50 Employees
2016
Key takeaway
The company is focused on advancing biology and medicine through innovative therapies and diagnostics, utilizing a novel ultrafast imaging technique combined with artificial intelligence for high-throughput cell characterization and sorting. Their approach enhances drug discovery by enabling efficient, label-free screening of genes and compounds that can reveal disease-linked cellular phenotypes.
Reference
Product
Drug Discovery - ThinkCyte
Pooled High-Content Screening of Genes and Drugs Our Solution for Drug Discovery Image-based high-content screening (HCS) is a powerful method for identifying genes compounds that induce physiologically relevant disease-linked cellular phenotypes. However, it is time-consuming expensive due to its reliance on well-to-well imaging of microplates. Using ThinkCyte’s proprietary machine Vision-based Cell Sorting technology, we have developed a new method that enables high-throughput image-based HCS in a pooled format. This novel method is compatible with various types of libraries, including CRISPR gRNAs, shRNAs, antibodies, peptides, small molecule compounds. From array to pool Key Advantages of Our Technology Compatible with a wide range of libraries Small molecule libraries, CRISPR, shRNA, peptide, phage … Continued
Beyond Next Ventures
Tokyo, Japan
A
1-10 Employees
2014
Key takeaway
The company, Beyond Next Ventures, is dedicated to supporting researchers and entrepreneurs in the biotechnology field by providing essential resources such as business planning, financial assistance, and access to incubation facilities. Their focus on deep tech scientific innovations and commercialization aligns with the growing importance of big data in biotechnology.
Reference
Product
Drug discovery / Biotech | Beyond Next Ventures
001
SBX Corporation
Tokyo, Japan
A
11-50 Employees
2011
Key takeaway
The Systems Biology Institute (SBI) and SBX BioSciences, Inc. focus on integrating AI and computational systems biology to enhance drug discovery and personalized healthcare. Their large-scale platforms and custom solutions aim to address key challenges in these fields through innovative technologies and research.
Reference
Core business
SBX Corporation
AI R&D: Deep learning, Machine learning, Automation, Text mining. Development, customization and maintenance of software platforms for drug discovery and life science research.
Teradata Japan, Ltd.
Tokyo, Japan
A
10001+ Employees
1979
Key takeaway
Teradata is dedicated to harnessing the power of big data analytics, providing organizations with the insights and tools necessary to transform their decision-making processes. With a focus on delivering trusted data and innovative analytics solutions, Teradata empowers companies across various sectors, including life sciences, to unlock the value in their complex data and seize new opportunities.
Reference
Product
Data Analytics in Big Data | Teradata Solutions
With powerful big data analytic applications tied with minimal time and effort demands, Vantage provides big data analytics needed by data analytics companies.
CMIC Group
Tokyo, Japan
A
5001-10000 Employees
1992
Key takeaway
The CMIC Group specializes in large molecule bioanalysis, immunogenicity, and PK testing, providing high-quality data and rapid turnaround, which are essential in the field of big data biotechnology. Their strategic partnership with Moffitt Cancer Center enhances their capabilities in preclinical research and practical applications.
Reference
Product
Large Molecule Bioanalysis, Immunogenicity and PK Testing | CMIC Group
Large molecule bioanalysis, immunogenicity and PK testing with higher quality data, rapid turnaround and fewer surprises.
BioChromato Inc.
Fujisawa, Japan
A
11-50 Employees
1983
Key takeaway
The company, BioChromato, focuses on developing and commercializing innovative products that enhance efficiency in laboratory processes, potentially benefiting the field of Big Data Biotechnology by reducing pretreatment time. Their customer base includes prominent organizations in the biotechnology and pharmaceutical sectors.
Reference
Core business
Our Customers | BioChromato-Boost Lab Efficiency with Cutting-Edge Products
Our Customers Private Companies See All Private Companies AB Sciex LLC Abbvie Accelerate Diagnostics Inc. ACTICOMP Agensys, Inc. Agilent AJINOMOTO CO.,INC. Alexion Pharmaceuticals Allen Institute for Brain Science Alternative Biomedical Solutions (ABS) Alturas Analytics, Inc. American Pain and Wellness Amgen Arcadia Biosciences Arcus Biosciences Arkansas Children's Hospital Clinical Laboratory Arrakis Therapeutics Inc Array Biopharma
Agatha
Tokyo, Japan
A
11-50 Employees
1934
Key takeaway
The company, Agatha Life, focuses on providing ready-to-use software applications that enhance clinical operations, particularly for biotechnology and pharmaceutical organizations. Their solutions streamline the management of clinical trials and quality processes, which is crucial for accelerating compliance and improving overall efficiency in the life sciences sector.
Reference
Core business
Applications for Clinical and Quality Operations - Agatha Life
Agatha provides applications for clinical operations for biotechs, pharma, and other industries that need help managing clinical trials.
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When exploring the Big Data Biotechnology industry in Japan, several key factors are crucial to consider. The regulatory landscape is significant, as Japan has stringent laws governing data privacy and bioethics, impacting how companies collect and utilize biotechnological data. Potential challenges include navigating these regulations and addressing public concerns about data security and ethical implications surrounding genetic information. Opportunities in the industry are abundant, driven by advancements in artificial intelligence and machine learning, which enhance data analysis capabilities in biotechnology. Japan's aging population and increasing demand for personalized medicine further propel growth in this sector. The competitive landscape is marked by collaboration between established pharmaceutical companies and innovative startups, often resulting in synergistic partnerships that leverage big data for drug development and healthcare solutions. Additionally, Japan's position in the global market is noteworthy, as it is a leader in biotechnology research and development, attracting international investments and collaborations. Environmental concerns also play a role, as companies are increasingly held accountable for their ecological impact, prompting a shift towards sustainable practices in biotechnology. Overall, understanding these considerations will provide valuable insights for anyone looking to engage with the Big Data Biotechnology sector in Japan.
Some interesting numbers and facts about your company results for Big Data Biotechnology
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 29 |
| Amount of suitable service providers | 21 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1934 |
| Youngest suiting company | 2016 |
Some interesting questions that has been asked about the results you have just received for Big Data Biotechnology
What are related technologies to Big Data Biotechnology?
Based on our calculations related technologies to Big Data Biotechnology are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Which industries are mostly working on Big Data Biotechnology?
The most represented industries which are working in Big Data Biotechnology are Other, IT, Software and Services, Biotechnology, Chemicals, Finance and Insurance
How does ensun find these Big Data Biotechnology Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
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