Dalpa Launches Context-Aware AI News Clipping Agent

AI agent studio Dalpa has officially launched an innovative enterprise news clipping solution that goes beyond simple keyword matching to understand business situations and context. This solution has proven to reduce repetitive tasks by 8-10 hours per week. For example, when searching for the keyword 'steel', it selects only core relevant articles for climate industry customers, such as 'Climate Change and the Impact of Steel Regulations', and automatically excludes unnecessary articles like 'Increase in Construction Demand'. In addition, through important sentence extraction and LLM-based generative summarization features, article content can be quickly grasped. This functionality is linked to the automatic generation of weekly/monthly strategic reports, dramatically reducing report writing tasks. The generated reports are flexibly integrated with internal collaboration tools such as Slack, email, and Notion, and can also be customized to match the report submission format of specific organizations. By providing one-stop support for domestic and international news collection, translation, and summarization, information accessibility has been enhanced. Customization is completed within one week of implementation, enabling rapid application in real-world operations. It is showing high demand, especially in the financial sector, research, and strategic organizations. Dalpa co-CEO Kwon Eui-jin emphasized, "As the desired report format and criteria for understanding news context differ for each client, 'customization' is the most crucial competitive edge in news clipping, and Dalpa possesses the technology to implement it most precisely." Leading with this solution, Dalpa is expanding its B2B business, focused on enterprise-specific AI agent creation and AI consulting, to various industries.