AI Medical Diagnostic SaMD
Medical device software powered by cutting-edge deep learning. Analyzes medical images with high precision, delivering real-time insights and explainable results that physicians can trust.
AI-Powered Access to the World's BestMedical Expertise
Transforming medical diagnostics by fusing cutting-edge deep learning with clinical expertise.
Delivering faster, more accurate diagnoses to address critical challenges in healthcare.
Solutions
We serve healthcare needs through five pillars.
Business Pillars
Cloud Radiology Services
Remote image interpretation by specialist physicians. Delivering high-quality radiology reports in a timely manner regardless of location, helping bridge regional gaps in healthcare access. Our platform architecture, built for the future implementation of an AI inference engine, enables a smooth expansion to advanced AI-powered cloud radiology services.
Medical AI Managed Services
A managed service providing high-quality data annotation by specialist physicians and domain experts. Through a multi-stage quality assurance process, we build expertly curated datasets that support pharmaceutical R&D, drug discovery, and AI development. We plan to expand the service to specialized domains beyond healthcare in the future.
Medical Data Services
Generating rich structured datasets from medical images. Partnering with pharmaceutical companies to accelerate drug discovery and R&D with high-quality AI-analyzed clinical data and quantitative biomarkers.
Custom Medical AI Development
Custom AI model and system development. Building tailored solutions from concept to deployment for your unique diagnostic and imaging challenges.
Medical Specialties
Expanding into additional clinical specialties
About
- Company Name
- Kewel Corporation
- Representative
- Takashi Shono (Founder & CEO)
- Headquarters
- Shibuya, Tokyo, Japan
- Founded
- December 2024
- Capital
- 30 Million JPY
- Employees
- 10 (7 physicians. Including contractors)
- Business
- AI Medical Diagnostic SaMD, Cloud Radiology Services, Medical AI Managed Services, Medical Data Services, Custom Medical AI Development
- Registration
- Medical Device Manufacturing Business, Japan (Registration No. 13BZ202001)
Corporate Vision
AI-Powered Access to the World's Best Medical Expertise
Members
Leadership
Takashi Shono, Ph.D.
Founder & CEO
B.E., M.E., and Ph.D. in Electrical Engineering from Keio University. Since joining NTT as a new graduate, he has over 28 years of experience across telecommunications, semiconductor, and software industries. During his nearly 19 years at Intel Corporation, he led the standardization (IEEE, WiMAX Forum, etc.), regulatory adoption (ITU-R, Japan's Ministry of Internal Affairs and Communications, ARIB, etc.), and commercialization of WiMAX technology across both global and Japanese markets, establishing himself as one of Japan's pioneering figures in WiMAX and 5G. In recognition of these achievements, he received the Intel Achievement Award, Intel's highest global honor. He also pursued research on next-generation wireless communication technologies at Intel's headquarters in California, USA. Beyond his technical leadership, he has also served as an executive officer at Japanese subsidiaries of U.S. tech companies, demonstrating strong business acumen. He is currently a Visiting Professor at Kochi University of Technology and formerly at Kyushu University. He holds 10 patents in Japan and the U.S. and is the author/editor of three technical books.
Medical Research Team
* Only some members of the Medical Research Team are listed here.
Yuto Aoki, M.D., Ph.D.
Gastroenterology
Graduate of Nippon Medical School. After completing clinical residency, he joined the Department of Gastrointestinal Surgery at Nippon Medical School. Following advanced training at Nippon Medical School Hospital and the National Cancer Center Hospital, he currently practices and conducts research as a gastrointestinal surgeon specializing in hepatobiliary-pancreatic surgery at Nippon Medical School Chiba Hokusoh Hospital, with a primary focus on liver surgery. Alongside his clinical work, he actively promotes collaborative research in navigation surgery, including AI applications. Contributes to Kewel's AI diagnostic SaMD development in gastroenterology as a clinical hepatobiliary-pancreatic surgeon.
Kentaro Suzuki, M.D., Ph.D.
Neurology
Graduate of Nippon Medical School. After completing initial clinical training at Nippon Medical School Hospital, he joined the Department of Neurology. After working at Tokyo Metropolitan Ebara Hospital, Nippon Medical School Hospital, and other institutions, followed by a research fellowship at the University of California, Los Angeles, he has served as Associate Professor and Director of Neurology at Nippon Medical School Musashikosugi Hospital since 2026. He is certified as a Specialist and Supervising Physician by the Japanese Society of Neurology, among others, specializing in stroke care with a particular focus on neuroendovascular treatment. Leads Kewel's AI diagnostic SaMD development in neurology as a clinical specialist in stroke and neuroendovascular treatment.
Kenji Furuichi, M.D., Ph.D.
Gastroenterology
Graduate of Shiga University of Medical Science. Board-certified diagnostic radiologist with over 16 years of clinical experience in diagnostic imaging and IVR at acute care hospitals. He has led image interpretation systems at core hospitals and trained residents and allied health professionals. Contributes to Kewel's AI diagnostic SaMD development in gastroenterology and orthopedics as a board-certified radiologist.
Advisor
Hiroshi Yoshioka, M.D., Ph.D.
Senior Advisor
Ph.D. in Medicine from the University of Tsukuba. Physician specializing in radiology and medical imaging. After serving at the National Institute of Radiological Sciences, he held academic appointments including Lecturer in Radiology at the University of Tsukuba, Visiting Lecturer at Stanford University School of Medicine, Visiting Lecturer and Associate Professor at Harvard Medical School, and Professor at the University of California, Irvine, where he is now a Professor Emeritus. He has also served as a Visiting Professor at the National University of Singapore and Mahidol University, promoting international collaborative research in AI-based medical imaging. Drawing on his extensive experience in medical imaging and AI research, he provides strategic guidance on Kewel's clinical and imaging initiatives and supports international collaboration in medical AI.
Careers
Join us in creating the next generation of medical AI. We are looking for passionate individuals who want to make a real impact on society.
Business Development
- Business planning and execution
- Building partnerships with medical institutions and companies
- Fundraising and financial strategy
Requirements: 10+ years of business development or sales experience in healthcare or IT
Machine Learning Engineer
- Deep learning model development for AI medical diagnostics
- Data preprocessing and training
- Model optimization and XAI implementation
Requirements: Practical experience in deep learning model development
Medical Professionals
- Clinical guidance and medical expertise
- Data validation and annotation
- Consultation in medical AI development
Requirements: Medical professionals interested in AI medical diagnostics
Sales
- Sales and customer development for cloud radiology services
- Proposal sales for medical AI contract development
Requirements: B2B sales experience in medical devices or healthcare IT services
Regulatory Affairs
- SaMD marketing authorization/certification applications
- PMDA and certification body consultations
- QMS conformity and reliability assessments
Requirements: Experience in medical device regulatory affairs. SaMD experience preferred
Application Form
Please fill in the form below to apply.
News
- Joint Development
Received a commission from the Department of Orthopedic Surgery, Fukuoka University Hospital, for the joint development of the "AI Model for Prognosis Prediction after Periarticular Knee Osteotomy".
- Patent
Filed a patent application for technology that integrates anatomical structure information into AI-based ophthalmic OCT diagnosis to improve diagnostic accuracy: "Ophthalmic Diagnostic Imaging Support Device, Method, and Program" (Japan Patent Application No. 2026-119810).
- Presentation
Presented "Implementation of AI Medical Image Diagnosis: A Startup's Challenge in Developing SaMD for Ophthalmology, Gastroenterology, Orthopedics, and Neurology" at the 3rd DMIL Academic Conference. Details →
- Exhibition
Exhibited at Medtec Japan 2026. Details →
- Grant
Selected for the SME Agency "Manufacturing, Commerce and Service Productivity Enhancement Subsidy".
Contact
For inquiries about AI medical diagnostic solutions, development partnerships, medical-engineering collaboration, or investment opportunities, please feel free to contact us.
*We do not respond to sales or other inquiries unrelated to our business.