AI and cloud company MegazoneCloud said on the 23rd it was selected as a supplier for the “2026 AI Integrated Voucher (Cloud Voucher) Support Program” promoted by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA). It said it has begun recruiting client companies.
The AI Integrated Voucher (Cloud Voucher) support program is designed to promote digital transformation by supporting domestic small and medium-sized companies with the costs of introducing cloud services. Selected client companies can receive support for up to 80 percent of service fees.
Through the program, MegazoneCloud will supply the SaaS integrated management platform “SPACE SaaSOps (formerly Megazone Pops),” the multi-cloud management platform “SPACE CloudOps (formerly SpaceONE),” and the AI digital asset management platform “SPACE DAM (formerly CloudPlex Media).” It supports client companies with initial adoption and use of the solutions.
SPACE SaaSOps is a platform that integrates and manages various SaaS subscription information, costs and user status used by companies in one place. It supports cost reduction by automatically identifying and cleaning up unused accounts. It also helps rapid decision-making through AI-based analysis and dashboards.
SPACE CloudOps is a multi-cloud management platform for companies using various clouds. SPACE DAM is an AI digital asset management platform designed to help users easily find and manage digital content such as video, images and documents.
Yoon-jin Jung (정윤진), unit head of Product Build at MegazoneCloud, said, “Many companies face difficulties in cost and operations management even after adopting the cloud, and in many cases they lack the dedicated personnel and experience to handle it.” He said, “MegazoneCloud products supplied to small and medium-sized companies through this voucher program will enable operations automation and cost optimization based on multi-cloud management, cost analysis and SaaS operations functions, reducing the burden on companies and increasing operational efficiency.”