en.Wedoany.com Reported - Icelandic software startup Euler recently announced the launch of Euler Viewer, the first free, real-time build viewer designed specifically for metal additive manufacturing operators. This tool leverages deep Artificial Intelligence (AI) technology to enhance fault detection capabilities during the 3D printing process.
Addressing Data Idleness and Safety Monitoring Challenges
In metal 3D printing workflows, Laser Powder Bed Fusion (LPBF) machines capture a large number of high-resolution images after each layer is printed. However, due to a lack of convenient viewing tools, this valuable data often remains underutilized. The launch of Euler Viewer changes this landscape. It allows operators to automatically stream and store powder bed images during the additive manufacturing process, enabling real-time monitoring through any browser.
The platform addresses security vulnerabilities associated with traditional remote desktop monitoring. Since printers are typically located within factory networks containing sensitive production data and controlled intellectual property, traditional remote access methods pose risks. Euler Viewer is built upon SOC 2 Type II security controls, requires no additional hardware installation, and provides operators with a secure, enterprise-standard monitoring environment.
Enhancing Production Efficiency and Collaboration Capabilities
Euler Viewer not only supports real-time viewing but also allows users to browse through thousands of layer images to comprehensively review completed build jobs. Operators can share access with colleagues via dedicated links, optimizing team collaboration. For machines that cannot be directly connected to the network, the platform also supports manual data upload for analysis.
Dr. Eyþór Rúnar Eiríksson, CEO of Euler, stated: "We believe this is a tool the industry should have had all along. By making it free and purpose-built, we are providing additive manufacturing professionals with a direct and secure way to leverage the data generated by their machines." The tool helps operators identify potential issues early, reduces material waste, and lays the groundwork for upgrading to a full-featured AI monitoring platform that includes automatic defect detection and predictive alerts.
Based on a €2 million seed funding round completed in 2025, Euler is utilizing existing machine data to detect defects in real-time. This AI-driven approach is helping manufacturers reduce failed builds and improve production efficiency, positioning the company at the forefront of additive manufacturing technology application.
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