#Japan #Tokyo #University of Tokyo #Infomart #KGSynX

Infomart and The University of Tokyo: Pioneering Research in Synthetic Data Generation

In a significant achievement, Infomart, a pioneering company in efficient business operations through digital solutions, has been awarded the top prize in the 6th Tomé Research Institute Young Researchers Award contest. This honor was received for their collaborative research paper conducted in conjunction with the University of Tokyo's Graduate School of Engineering, specifically from the System Innovation course under the guidance of Professor Yu Ka. The award ceremony was held on November 8, showcasing the innovative work of both institutions.

The celebrated research paper titled "KGSynX: Knowledge Graph and Explainable Feedback Guided LLMs for Synthetic Tabular Data Generation" expertly combines knowledge graphs with large language models (LLMs) and explainable feedback to create synthetic data that closely mirrors real-world datasets. The paper was lauded for both its methodological soundness and its practical implications.

Overview of the Award

Award Details

• - Award Name: Tomé Research Institute Young Researchers Award - Grand Prize
• - Organizer: Infomart Co., Ltd., headquartered in Minato, Tokyo
• - Supporters: Associations including the Information Processing Society of Japan, the Japanese Society for Artificial Intelligence, and the Human Interface Society.

Research Highlights

The KGSynX approach introduces not only statistical trends but also semantic and structural constraints essential for generating synthetic data that resembles real-world characteristics more authentically. Traditional synthetic data methodologies often fall short in their ability to establish coherent logical relationships among features, resulting in a lack of practical applicability. KGSynX addresses this gap by utilizing a fusion of knowledge graphs, LLMs, and explainable feedback systems to ensure the generated tabular data maintains both control and semantic integrity.

This revolutionary method advances the dual goals of privacy protection and sophisticated data utilization, paving the way for extensive data analytics and AI training data applications. The recognition of this research's logical progression, coupled with its relevance to a future where human and machine coexist, undoubtedly contributed to its award-winning status.

Infomart's Contributions to the Research

Infomart has been actively collaborating with the University of Tokyo since 2024 on AI-based research projects. The company provided a vast amount of anonymized commercial transaction data exceeding 60 trillion yen, which was essential for the development and validation of the KGSynX approach. This collaboration exemplifies the practical synergy between industry and academia, driving forward advancements in technology that can benefit society at large.

Future Directions

Looking ahead, Infomart is committed to further analyzing its proprietary data to enhance customer and societal advancement. The ongoing research with the University of Tokyo will focus on maximally leveraging AI capabilities to extract greater value from data.

Comments from Key Contributors

Professor Yu Ka, University of Tokyo

"We are incredibly honored to receive the Grand Prize. Our research aims to explore safer and more beneficial uses of data through the fusion of generative AI and knowledge graphs. This recognition fuels our commitment to produce more impactful research that resonates with real-world applications through academia and industry partnerships."

Professor Kouaki Hayashi, University of Tokyo

"The rewards of our joint research with Infomart are truly gratifying. This accomplishment reflects their crucial support and the collective ingenuity of our students, underlining the importance of trustworthy data generation technologies in today’s society. Our outcomes pave the way for new possibilities in data ecosystems, and we look forward to continuing our collaboration to foster a transparent and trusted data society."

Mr. Hajime Murakami, Director of Infomart

"It is our great honor to receive the Grand Prize at the Tomé Research Institute Young Researchers Award. We extend our deepest gratitude to the Tomé Research Institute and the University of Tokyo for their contributions. We are thrilled to explore the new possibilities of synthetic data in line with market demands and are deeply inspired by Professor Yu's commitment to research. Infomart will continue to apply advanced AI technologies gleaned from our research to contribute meaningfully to customers and society."

About Infomart

Founded in 1998, Infomart operates a cloud service that streamlines business transactions, including billing and procurement processes. Its flagship service, the "BtoB Platform," boasts over 1.2 million users, with annual transaction volumes exceeding 62 trillion yen.

• - Company Name: Infomart Co., Ltd.
• - Stock Symbol: TSE Prime Market: 2492
• - Headquarters: Shiodome Shibarikyu Building, 1-2-3 Kaigan, Minato, Tokyo
• - Established: February 13, 1998
• - Capital: 3,221,251,000 yen (as of September 2025)
• - Employee Count: 809 (consolidated), 782 (individual)
• - Website: Infomart