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Lantek Launches AI-Powered V45 to Transform Sheet Metal Production

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Lantek has introduced its latest V45 software suite, featuring artificial intelligence tools aimed at improving automation and data integration in sheet-metal production. The update focuses on reducing programming time and creating smoother workflows between design, manufacturing and enterprise systems.

A key feature of the release is the new digital assistant, designed to support technicians by simplifying routine tasks and improving operational consistency. The assistant works across multiple applications, helping operators make faster and more informed decisions.

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Connectivity is another priority in the V45 update. The software strengthens links between design tools, cutting systems and production management platforms, enabling continuous data exchange from initial design to final manufacture. This integrated approach reduces communication errors and enhances traceability, leading to more predictable production schedules.

Updates have also been applied to programming tools and material handling features, broadening compatibility with automated lifting systems and external production technologies. These improvements are intended to shorten programming cycles and enhance efficiency, particularly for manufacturers working with varied materials and batch sizes.

The software’s production management module now offers improved visibility of resource allocation and scheduling, giving managers greater insight into operational performance. Enhanced machine connectivity and intermediate warehouse controls contribute to greater transparency and responsiveness across manufacturing operations.

Lantek has further refined its estimation and quoting tools by linking CAD/CAM and production data sources. This integration enables faster and more accurate quotations based on real-time production information, supporting improved margin control and customer communication.

The V45 release reflects the industry’s growing demand for intelligent, connected solutions that streamline manufacturing processes and support data-driven decision-making. By incorporating AI capabilities and expanding system integration, the software aims to help manufacturers achieve greater productivity and operational efficiency.

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