JunSoo Chung CEO of PulsePixia
-Flagship solution ‘Onpi’ automates the entire media sentiment analysis pipeline using AI-based Natural Language Processing (NLP)
-Empowers small businesses to make data-driven decisions without the need for specialized marketing or data analysis teams
![[The Kwangwoon University 2025 Pre-Startup Package CEO] PulsePixia, Automating AI-Driven Data Analysis for Smarter Decision-Making](https://img.hankyung.com/photo/202603/AD.43519358.1.jpg)
The flagship product, ‘Onpi’ is a media sentiment analysis solution that automates the entire analytical process through AI-driven Natural Language Processing (NLP). With Onpi, users simply input their analysis objectives or keywords. The AI assistant then automatically designs and executes a pipeline—spanning NLP, data analysis, and visualization—to deliver ready-to-use sentiment analysis results and insights.
“The ‘media sentiment’ we refer to is a proprietary metric of Onpi. It is designed to capture not only positive and negative opinions on a specific issue but also the associated emotional flows at a glance”, explained CEO JunSoo Chung. “This allows users to intuitively grasp how an issue is being perceived across the media landscape. A crucial feature of Onpi is that it doesn't just provide raw data; it utilizes LLM (Large Language Model) technology to present the underlying meaning and the specific insights derived from that data.”
Onpi’s primary competitive edge lies in enabling non-experts to make data-driven decisions within minutes. While traditional media monitoring and data analysis required specialized personnel, complex tools, and lengthy processing times, Onpi automates these workflows for immediate practical application.
“There are many tools in the market that analyze or visualize data, but most still require the user’s own processing and interpretation skills. Services that provide results ready for immediate business use are rare”, Chung noted.
“General-purpose AI agents can perform various tasks, but they have limitations in producing specialized results for specific objectives, such as ‘identifying negative public sentiment on policy’ or ‘deriving SEO keywords for marketing.’”
Onpi differentiates itself through specialized templates tailored to analysis objectives and domain-specific data analysis models. Its cost-effectiveness is another major strength; it can replace traditional outsourcing methods at approximately 10% of the cost by eliminating the need for professional labor, custom development, and server maintenance.
PulsePixia has designed its strategy based on Business Model Canvases and Customer Journey Maps, executing data-driven performance marketing using media data. Simultaneously, the company is engaging in proactive direct sales centered on its MVP (Minimum Viable Product), applying insights derived from media data across various channels including online communities, SNS, and blogs.
Regarding future goals, CEO Chung stated, “Rather than forcing rapid growth, our priority is to refine our service into something truly essential through multiple rounds of validation and pivoting based on customer problems. Just as it is said that a startup needs six to seven pivots to succeed, we plan to continuously adjust our features and target audience based on customer feedback and data.”
Founded: May 2025
Core Business: AI-driven data analysis automation
Key Achievements: Selected for the Preliminary Startup Package, Selected for the Media Startup Support Program by the Korea Press Foundation, Executed numerous media data analysis automation projects for small-scale enterprises, Accumulated media sentiment analysis references across various industries and completed MVP validation, Enhanced products based on early customer interviews and expanded into B2C solutions
reporter jinho lee
jinho2323@hankyung.com
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