For years, 3D printing has been referred to as the way forward for manufacturing, able to producing light-weight, complicated components whereas decreasing waste and emissions. But, widespread adoption has stalled due to high quality management points.
Based as a spinout from the Technical College of Denmark, Euler has constructed an AI-powered software program platform that detects faults in 3D printing in actual time, stopping pricey errors earlier than they occur.
As we speak, an Iceland-based deep-tech startup has raised €2 million in seed funding to deliver AI into the guts of business 3D printing. The spherical was co-led by Frumtak Ventures and Kvanted.
Euler’s new funding brings its complete raised to €4 million, together with earlier public grants from the EU. The corporate has already begun submitting three patent purposes and is trademarking its core know-how.
Fixing 3D printing’s reliability drawback
Euler was based 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 tells TFN, “I noticed that the printers already supplied invaluable uncooked knowledge, particularly powder mattress photographs, containing untapped potential. The problem wasn’t amassing extra data. It was decoding what already existed, and doing so with velocity, accuracy, and context. This perception grew to become the inspiration for Euler: a software-first course of monitoring platform that transforms uncooked photographs into real-time, predictive perception with out the necessity for additional {hardware} or complicated integration.”
The know-how behind Euler’s platform leverages superior AI and laptop imaginative and prescient to analyse laser powder mattress fusion and selective laser sintering processes. It operates utilizing present printer cameras, eliminating the necessity for pricey further monitoring tools.
Eyþór provides, “Euler’s SaaS know-how is constructed round a easy however highly effective concept: producers don’t want extra sensors or extra knowledge, they want higher perception from the info they have already got. Most metallic 3D printers already seize hundreds of photographs throughout each construct. Euler makes use of synthetic intelligence to analyse these photographs in actual time, detecting patterns and predicting points earlier than they trigger half failures.”
Euler’s software program integrates with the cameras already put in on 3D printers to watch builds in actual time. This technique identifies defects equivalent to spatter, burn marks, and uneven powder distribution early, permitting producers to keep away from failed builds.
Unbiased evaluations have proven Euler’s platform can scale back failed prints by 77%, saving round $115,000 in working prices per printer yearly and boosting income potential by over 20%.
Not like Phase3D or Addiguru, Euler’s know-how consists of real-time automated detection of frequent defects, layer-by-layer visualisations for transparency, comparative benchmarking instruments, and seamless integration with Autodesk Fusion CAD software program to streamline workflow. The platform is designed for simple adoption by manufacturing groups with out requiring specialised operators.
What’s subsequent?
Trying forward, Euler will formally launch its product at Formnext 2025, the main additive manufacturing commerce honest held in Frankfurt, Germany, this November. The latest funding increase will allow the corporate to speed up platform deployment, develop gross sales and advertising groups, and improve product growth.
Eyþór concludes, “The plan is to broaden the product to cowl further additive manufacturing processes and place Euler as a key participant within the subsequent wave of high-volume 3D printing adoption as main producers transfer to industrial use.”
Kvanted Associate Eerik Paasikiv provides: “Additive manufacturing is coming into a brand new period of business adoption, and Euler’s platform is on the forefront of this. Their know-how is bringing the reliability and intelligence wanted to lastly make large-scale 3D printing viable.”
