Trumpf to present AI-enhanced laser cutting system at InTech

20 Mar 2025

“Cutting Assistant” uses AI to determine parameters; can be fitted to all 6 kW+ TruLasers.

Laser and engineering technology giant Trumpf will be showcasing its AI-assisted laser machine tool called “Cutting Assistant,” at the forthcoming InTech 2025 in-house trade fair, at the company’s headquarters in Ditzingen, Germany, between April 1st to 4th.

To use it, production employees take a picture of their component’s cut edge with a hand scanner. The solution then assesses edge quality by evaluating for objective criteria such as burr formation.

With this information, Cutting Assistant’s optimization algorithm suggests improved parameters for the cutting process. The machine then cuts the sheet metal again. If the quality still does not meet expectations, the user has the option to repeat the process.

“With the Cutting Assistant, Trumpf is once again demonstrating that we are a pioneer in the use of AI in industrial manufacturing. Users will be able to save time and money. This gives them a competitive edge when it comes to productivity,” said Trumpf product manager Louisa Peters.

Trumpf offers this solution for all TruLaser series featuring a power output of 6 kW or more. Most owners who are already in possession of such machines should be able to simply download Cutting Assistant.

AI evaluates edge quality

During laser cutting, users often have difficulty determining the correct parameters for their material grades, says the company. Materials which are not optimized for laser cutting often produce edges with wide variations in cut quality, forcing production employees to constantly change the technology parameters.

By integrating the Cutting Assistant into the machine software, optimized parameters can be transferred seamlessly into the software without the need for programming. This saves time and reduces errors.

Trumpf experts have cut thousands of parts and drawn upon their years of expertise while developing the Cutting Assistant, using their extensive knowledge to train the software’s algorithm. In the future, data from applications in the field will also be incorporated into the solution. The company says that this will “enable faster and more reliable results, because the self-learning system will continuously improve.”

Peters added, “Manufacturers and users alike benefit from this novel development approach. Data security remains a top priority.” The company regularly provides users with online updates that they can download to their machines.