DN Solutions introduced its AM2CNC solution at the SIMTOS 2026 symposium in Goyang, South Korea, on April 14, 2026. Presented by Executive Director Lee Kang-jae, the system integrates additive manufacturing and CNC machining into a single platform to enable closed-loop manufacturing. The architecture utilizes a physical AI framework where the CNC machine acts as the body and the AI serves as the brain, managing the entire workflow from design and production to inspection and feedback. This integration aims to eliminate process gaps between metal additive manufacturing and traditional subtractive machining, ensuring consistent quality for complex components in sectors such as aerospace, defense, and semiconductor equipment manufacturing.

The AM2CNC solution addresses the industry-wide challenge of process fragmentation, where moving parts between disparate additive and subtractive systems introduces errors and increases lead times. While competitors like DMG Mori and Mazak have previously explored hybrid manufacturing, DN Solutions is positioning its platform to leverage AI-driven data flow to enhance precision in high-stakes applications like SMR components and rocket parts. By consolidating these processes, the company seeks to reduce reliance on external logistics and improve the agility of supply chains for critical defense and aerospace hardware. This approach aligns with the broader trend of adopting digital manufacturing ecosystems to handle high-performance alloys such as Inconel and Niobium C103.

For manufacturers, the value of this integration lies in the reduction of setup times and the potential for higher geometric complexity in parts that require both additive build and precision finishing. Users should evaluate the system based on its ability to maintain tolerance consistency across the transition from additive to subtractive modes. DN Solutions must now demonstrate the reliability of its AI-driven feedback loops in high-volume production environments to validate the efficiency gains claimed in the initial rollout.