Euler leverages deep AI to enhance fault detection in the 3D printing process.

Euler’s emergence reflects an overdue maturation of 3D printing as a viable large-scale industrial process. In September 2025, LEGO announced the first use of mass-produced 3D printed components for its sets, with Apple announcing the use of 3D printed metal components for its most recent model, the iPhone Air (having already used 3D printed parts for its Apple Watches since 2024).

However, despite optimistic predictions, large-scale adoption of 3D printing has been limited by the difficulty of ensuring components meet strict safety and performance standards — especially for highly regulated industries such as aerospace or defence. Small disruptions have resulted in print failures, and without real-time supervision, defects are often discovered only after production, leading to costly rework or scrapped parts.

Euler’s platform revolutionises this process by providing sophisticated automated real-time monitoring, alerting manufacturers to potential defects before they occur — saving crucial time and resources, and enabling more reliable part production at scale.