• Promote AI predictive maintenance and data platform advancement
• Expand performance-based global market such as selecting innovative defense companies and global defense MOUs

WEFLO, an artificial intelligence (AI)-based diagnostic solution company, announced that it has succeeded in attracting Series A investment. With this investment attraction, Wiplo plans to strengthen the competitiveness of diagnostic technologies used in the entire manufacturing and operation of mobility and expand public and global markets centered on defense. The investment was worth 5.5 billion won, and the cumulative investment was 11.8 billion won.

WEFLO has developed a solution that combines fusion sensor-based hardware and AI-based data analysis software to detect abnormalities in mobility in advance and predict failures. It can be applied from quality inspection in the production stage to status diagnosis of the operation process, and is characterized by analyzing the status of mobility equipment based on data to identify problems in advance.

The technology has been proven in the defense and public sectors. Wiplo carried out a combat experiment project related to the Army Education Command and drone operation equipment inspection solution and was determined to be effective. In addition, it was listed as the "100 Defense Innovation Company" selected by the Defense Acquisition Program Administration and laid the foundation for entry into the overseas defense market through cooperation with Polish defense company WB Electronics. In addition, as part of the Ministry of Land, Infrastructure and Transport's drone delivery demonstration project, 152 delivery stores have been established in 19 local governments and 38 bases nationwide, and 29 AI inspection pads have been established and operated.

WEFLO's diagnostic technology is applied to the smart inspection pad 'verti-Pit' series and is used throughout the actual manufacturing and operating environment. The system automatically checks major conditions in a contactless manner to simultaneously increase productivity and operational efficiency. Based on the data accumulated through this, Wiplo is promoting the advancement of the predictive maintenance model and the expansion of big data-based platforms.

Recently, the mobility industry is being reorganized into a software-oriented structure that combines hardware-based technology and electrical cycle data beyond simple data center. Data utilization is expanding throughout the entire process from quality management in the manufacturing stage to operational data-based management, and reducing unplanned interruptions due to failures is emerging as an important task in the defense and logistics sectors that operate large-scale equipment. In this trend, Wiplo is simultaneously improving operational stability and cost-effectiveness through AI diagnostic technology.

WEFLO plans to use this investment to upgrade its AI model for predictive maintenance and build a data-based integrated analysis platform. Through this, the government plans to prepare a structure that analyzes and manages various mobility data in an integrated manner beyond checking individual equipment units.

"The mobility industry is rapidly shifting toward maximizing product cycle efficiency by integrating data from the previous period of manufacturing and operation," said Yeejung Kim, CEO of WEFLO. "We plan to expand into physical AI-based business in the future based on diagnostic technology and data and build a vertical AI area specialized in the mobility industry."

Meanwhile, WEFLO started as an in-house venture of Hanwha System in 2022 and commercialized its technology centering on drone diagnosis, and is expanding its business to various mobility areas.