CarbConnect
It is a platform that connects knowledge and data in life sciences with AI and the cloud.
"CarbConnect" is a life sciences-focused platform that integrates data related to research, manufacturing, testing, and development, accelerating analysis, sharing, and decision-making. It handles diverse data such as images, numbers, text, and audio, creating new value with generative AI and specialized LLMs. Immediate sharing of data and analysis results enables efficient remote collaboration. The direct commenting feature on images supports smooth discussions and reviews. 【Main Features (Partial)】 ■ Real-time sharing and collaboration ■ DX and AI solution capabilities ■ Flexible access and scalability ■ Full support from implementation to operation ■ AI analysis toolset ■ Secure data storage *For more details, please download the PDF or feel free to contact us.
basic information
【AI Analysis Tool Group (Partial)】 ■BM Smear AI (Bone Marrow Smear Specimen Analysis) ■ZOI Series (Automation of Inhibition Zone Measurement) ■Nugent Score AI (Support for Bacterial Flora Evaluation) ■BiTTE lite (Microbial Classification Support) *For more details, please download the PDF or feel free to contact us.
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Applications/Examples of results
【Utilization Use Cases】 ■ Integration and analysis of research data ■ Streamlining clinical diagnosis ■ Accelerating product development ■ Promoting international collaborative research ■ Supporting management decisions *For more details, please download the PDF or feel free to contact us.
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CarbGeM Inc. provides digital transformation (DX) and AI solutions specialized in the life sciences and healthcare sectors. Building on capabilities in medical data analysis, image-analysis AI, generative AI, and application development, we work together with academia, medical institutions, and companies to support the full journey from research and development through to real-world implementation. We have particular expertise in developing AI-based Software as a Medical Device (SaMD), navigating regulatory affairs, and establishing Quality Management Systems (QMS), backed by a proven track record of obtaining medical device approvals and notifications. We advance industry-academia partnerships around early-stage AI and data-science research emerging from academia, with technical implementation, clinical application, and commercialization firmly in view. We take the same approach with our corporate partners, pursuing co-creation to move research and new business initiatives forward while keeping technical implementation and regulatory requirements in mind. As a partner in joint research and new business development, we would welcome the opportunity to exchange ideas on areas where our expertise can add value—including data-collection design and the preparation of AI-ready data, DX/AI implementation, and the planning of regulatory and exit strategies. We would also be glad to take an active role in securing funding for joint projects.






