Miso Information Technology’s “Smart MDQ” Designated as Innovative Product by Ministry of Science and ICT

With the spread of AI agents, the importance of data quality is becoming more evident than ever. In particular, in medical and manufacturing environments, inaccurate or incomplete data can significantly affect the reliability of diagnosis and treatment as well as manufacturing performance. As a result, data quality is emerging as a critical factor determining the success of AI innovation. As the government also promotes large-scale investments with the goal of becoming one of the world’s “top three AI powers,” interest in data quality continues to grow.

Miso Information Technology (CEO Nam Sang-do), a multimodal data platform company, announced on the 19th that its data quality diagnosis service, Smart MDQ, has been designated as an innovative product by the Ministry of Science and ICT in recognition of its technological innovation and public applicability.

With this designation, public institutions will be able to introduce Smart MDQ through private contracts for up to six years. The company expects this to accelerate the adoption of data-driven demonstration and diffusion across various public sectors, including healthcare, manufacturing, and construction.

The innovative product designation is granted based on a comprehensive evaluation of technological innovation, public value, and practical applicability.

Smart MDQ can be easily introduced through the Public Procurement Service’s public innovation procurement platform, Innovation Market, and can also be demonstrated through the pilot purchase program, which enables pre-purchase and deployment of innovative products to demand institutions. In addition, policies such as expanding pilot purchase and overseas demonstration budgets are creating a more favorable environment for the adoption of data-based solutions in the public sector.

Smart MDQ is a general-purpose data quality management solution that provides
▲ automated detection of data errors
▲ verification of data consistency, completeness, and accuracy
▲ standards-based data quality management
▲ enhanced data reliability for AI and analytics across large-scale datasets generated in public sectors.

In particular, Smart MDQ combines rule-based validation with AI-based quality diagnosis to refine and manage production, facility, and quality data in medical and manufacturing environments, as well as administrative and operational data in public institutions, to a level suitable for AI utilization. Through this approach, traditional manual data inspection processes are transformed into an automated and intelligent data quality management system.

Miso Information Technology supports data-driven advancement through:
▲ data quality management for AI factory construction projects using Smart MDQ
▲ provision of core data infrastructure (SaaS) for manufacturing AX (Artificial Intelligence Transformation)
▲ strengthening data governance and reliability in public institutions.

The company plans to actively support digital transformation across public and industrial sectors by helping secure foundational data quality for government initiatives related to AI, big data, and digital platforms.

Nam Sang-do, CEO of Miso Information Technology, said, “Securing reliable data quality is the starting point of AX in public institutions. With the designation of Smart MDQ as an innovative product, we will actively contribute to improving public data quality management and advancing data-driven public services.”

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