On August 30, 2026, ARUM announced the start of joint development of industrial cutting machines based on what it calls “physical AI,” with the aim of moving artificial intelligence from data analysis to the execution of actual manufacturing processes. The project includes the development of two machine platforms, TTMC Type-M and TTMC Type-L, along with an artificial intelligence system called TTMC Brain.
According to the published information, several companies and organizations associated with the manufacturing sector are participating in the development, including companies working in production cells, cutting machines, and software, in addition to Sojitz Infrastructure Vietnam and Long Duc 3 Industrial Park. The project is scheduled to run from October 1, 2026, through September 30, 2030.
Two Platforms for Different Manufacturing Processes
The TTMC Type-M platform is based on a machine designed for mold processing, with the ability to configure it according to TTMC specifications. The platform targets the medium-sized machine category and handles workpiece sizes of up to approximately 500×500 millimeters, a category roughly equivalent to the size of a machine weighing one ton, according to the description provided in the material.
TTMC Type-L, meanwhile, is built on a five-axis machining center and targets larger parts within a range of approximately 1,200 millimeters in diameter and up to 480 millimeters in length. The difference between the two platforms indicates that the project is not focused on a single model, but is instead attempting to cover differing machining needs within manufacturing environments.
What Does TTMC Brain Add?
TTMC Brain represents the artificial intelligence layer of the project. It uses ARUMCAD’s 3D engine, into which STEP data can be entered to create a three-dimensional model, after which machining features are recognized within 0.1 seconds. The announced functions include recognizing manufacturing features, designing machining processes, generating NC programs, and preparing robot-motion programs.
The system is also expected to make use of data from the companies participating in the development to learn practical manufacturing knowledge. This point is important because the system’s value depends not only on a general artificial intelligence model, but also on its ability to absorb machining rules and accumulated factory expertise and convert them into executable procedures.
What Changes in Practice?
The project is also connected to ARMCODE1, a program ARUM uses to automatically create NC programs from three-dimensional design data. The company says that creating a program, which used to take approximately 30 minutes, can now be done in one second, while reducing human errors associated with manual programming.
If these capabilities are achieved within the cutting machine itself, the practical change will be a reduction in the distance between part design and machining, rather than merely adding a software assistant to the production line. However, the material does not provide independent operational results or figures on accuracy, productivity, or testing conditions, nor does it clarify pricing details or final commercial availability. Therefore, the announced figures should be treated as capabilities or results described by ARUM until comparable field-test data becomes available.