[AI & Big Data Show] Funzin boosts Defense AI Solution performance through rapid institutional collaboration
Funzin (CEO Kim Deuk-hwa), a company specializing in defense artificial intelligence (AI), announced on the 2nd that it has significantly improved the performance of its “Specialized Defense AI Solution for Battlefield Due Diligence” in a short period of time by actively incorporating feedback from military officials.
Funzin is participating in the “Artificial Intelligence (AI) & Big Data Show” held at COEX, Seoul, through the 13th, showcasing a range of defense solutions including the AI-based command decision support system Kill Web Matching (KWM).
Until 2022, Funzin mainly focused on communication and edge AI technologies. However, following the signing of an edge AI-based MOU with Hanwha Systems at CES 2022, the company began its transformation into the defense AI sector. Since then, it has concentrated on related R&D and is currently conducting Proof of Concept (PoC) demonstrations with multiple military organizations.
According to Lim Sung-joon, Managing Director of the Business Strategy Office under the AIoT Solution Business Division, “The reason we were able to rapidly emerge as a major defense AI company in the industry is that we swiftly incorporated feedback during the technology demonstration process.”
A prime example is the AI synthetic data platform “Eagle Eye,” which recently received military fit approval.
Lim explained, “Because data in the defense sector is scarce and highly secured, additional data are often needed. By proactively proposing solutions, we’ve been flexibly upgrading our technology to meet these demands—such as intensively training on marine boundary image data and providing customized datasets.”
He emphasized that Funzin’s R&D philosophy focuses on usability and field applicability, with communication being the key factor.
Unlike civilian applications, defense AI solutions must operate under unstable communication conditions on the battlefield. Lim noted that focusing solely on improving communication technology cannot solve real-world problems.
“For example, even if drones capture high-resolution images, there should be no transmission delays or data loss caused by unstable networks,” he said. “In such cases, efficient data allocation and prioritization become essential.”
He added, “If communication capacity is limited, priority should be given to transmitting image and video data that are critical to battlefield operations. AI must play a key role in determining these data priorities.”
While on-device and edge AI are important, AI’s ability to intelligently distinguish and prioritize data is equally crucial.
“Recently, we discovered a new breakthrough beyond Vision AI — Radio Analysis,” Lim said.
“This initiative also began from a suggestion by a military institution. We were able to realize radio wave measurement technology within a month, and we are now receiving many inquiries about it.”
Lim concluded, “We plan to participate in five events this month alone, and our schedule is fully booked through December. As more people experience Funzin’s technology, we expect to accelerate our pace of innovation even further.”
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