With AI semiconductor design technology and large-scale production infrastructure becoming intertwined, the development of industrial AI solutions that can be immediately applied to manufacturing sites is gaining momentum. This collaboration between Mobilint and Intops can be viewed as a manufacturing partnership that goes beyond a simple supply contract, as it involves a semiconductor technology company and a manufacturing service company working together to create field-oriented AI models.

Mobilint announced on the 19th that it has signed a strategic business agreement with Intops for the manufacturing of AI solutions, AI-based manufacturing innovation, and joint development of solutions. The scope of cooperation includes the joint development and manufacturing of next-generation AI hardware and software, the introduction of AI into manufacturing processes, joint marketing, and business cooperation.

The technical core lies in Mobilint's on-device AI semiconductor capabilities. Based on semiconductor technology for on-device and edge AI that processes AI computations directly on devices such as robots, autonomous vehicles, and smart devices, Mobilint plans to develop solutions tailored to manufacturing environments. This has great potential for use in industrial sites requiring low-power and low-latency processing.

Intops will be responsible for manufacturing AI solutions based on its production infrastructure and process operation experience, while simultaneously taking on the role of applying the technology to actual manufacturing sites. Through this, both companies plan to concretize their cooperation in a direction that increases production efficiency and raises quality control levels.

The application areas are expected to cover the entire manufacturing site, including the establishment of smart factories, improvement of process efficiency, and advanced quality control. Based on AI implementation models verified in manufacturing sites, both companies plan to expand the scope of cooperation to other industrial sectors.

This agreement can be seen as an example of a domestic AI semiconductor company partnering with a manufacturing service company to expand the path for technology commercialization. As the ability to achieve results through application in actual production sites becomes more important than semiconductor performance itself, the collaboration between the two companies is expected to serve as an opportunity to gauge the feasibility of applying industrial AI in the field.