Buzzni (Co-CEOs Nam Sang-hyeop and Kim Seong-guk), an artificial intelligence (AI) technology-based service company, announced on the 8th that it had been selected as a supplier for the '2026 Data Voucher Support Project' hosted by the Ministry of Science and ICT and the Korea Data Industry Promotion Agency (K-DATA).
The Data Voucher Support Project is a government-led initiative that supports service and product development and business innovation by providing data purchase and processing services in the form of vouchers to small and medium-sized enterprises, venture companies, and public and private demand companies.
Through this project, Buzzni plans to provide data utilization services specialized in the commerce and media domains, such as short-form AI, video search AI, show host video summarization, automatic product category classification, automatic product attribute extraction, catalog grouping, VOC automatic classification, product image/video OCR analysis, and review analysis, based on the commerce AI platform 'APlus AI' and video data analysis technology.
Short-form AI is a service that analyzes long videos, extracts key scenes, and automatically generates dozens of short-form content. Upload a video file or URL, and the AI creates a variety of short-form videos based on the main content. Video search AI, a technology that searches for relevant scenes within a video by inputting keywords or phrases, reduces the time and cost involved in video search and data collection.
In the commerce AI field, product detail pages, images, and review data are analyzed to automatically extract product attributes, categories, and keywords, providing them in the form of datasets that can be immediately utilized for search, recommendation, and analysis. This automates the previously manual data refinement and classification process, simultaneously improving operational efficiency and data quality. Furthermore, the company supports data purchasing services for marketing and data analysis, such as home shopping program schedule data and mobile home shopping user sales trend data.
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