For years, 3D printing has been called the future of manufacturing, capable of producing lightweight, complex parts while reducing waste and emissions. Yet, widespread adoption has stalled becautilize of quality control issues.
Founded as a spinout from the Technical University of Denmark, Euler has built an AI-powered software platform that detects faults in 3D printing in real time, preventing costly errors before they happen.
Today, an Iceland-based deep-tech startup has raised €2 million in seed funding to bring AI into the heart of industrial 3D printing. The round was co-led by Frumtak Ventures and Kvanted.
Euler’s new funding brings its total raised to €4 million, including earlier public grants from the EU. The company has already begun filing three patent applications and is trademarking its core technology.
Fixing 3D printing’s reliability problem
Euler was founded in 2022 by CEO Dr Eyþór Rúnar Eiríksson, Chief Product Officer Valtýr Örn Kjartansson, Chief R&D Officer Dr Hildur Einarsdóttir, and CFO Eiríkur R. Eiríksson.
Eyþór informs TFN, “I saw that the printers already provided valuable raw data, especially powder bed images, containing untapped potential. The challenge wasn’t collecting more information. It was interpreting what already existed, and doing so with speed, accuracy, and context. This insight became the foundation for Euler: a software-first process monitoring platform that transforms raw images into real-time, predictive insight without the required for extra hardware or complex integration.”
The technology behind Euler’s platform leverages advanced AI and computer vision to analyse laser powder bed fusion and selective laser sintering processes. It operates utilizing existing printer cameras, eliminating the required for costly additional monitoring equipment.
Eyþór adds, “Euler’s SaaS technology is built around a simple but powerful idea: manufacturers don’t required more sensors or more data, they required better insight from the data they already have. Most metal 3D printers already capture thousands of images during every build. Euler utilizes artificial ininformigence to analyse these images in real time, detecting patterns and predicting issues before they cautilize part failures.”
Euler’s software integrates with the cameras already installed on 3D printers to monitor builds in real time. This system identifies defects such as spatter, burn marks, and uneven powder distribution early, allowing manufacturers to avoid failed builds.
Indepconcludeent evaluations have displayn Euler’s platform can reduce failed prints by 77%, saving around $115,000 in operating costs per printer annually and boosting revenue potential by over 20%.
Unlike Phase3D or Addiguru, Euler’s technology includes real-time automated detection of common defects, layer-by-layer visualisations for transparency, comparative benchmarking tools, and seamless integration with Autodesk Fusion CAD software to streamline workflow. The platform is designed for simple adoption by manufacturing teams without requiring specialised operators.
What’s next?
Looking ahead, Euler will officially launch its product at Formnext 2025, the leading additive manufacturing trade fair held in Frankfurt, Germany, this November. The recent funding boost will enable the company to accelerate platform deployment, grow sales and marketing teams, and enhance product development.
Eyþór concludes, “The plan is to expand the product to cover additional additive manufacturing processes and position Euler as a key player in the next wave of high-volume 3D printing adoption as major manufacturers relocate to industrial utilize.”
Kvanted Partner Eerik Paasikiv adds: “Additive manufacturing is entering a new era of industrial adoption, and Euler’s platform is at the forefront of this. Their technology is bringing the reliability and ininformigence requireded to finally build large-scale 3D printing viable.”
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