
Iceland · Information technology & services startup
Euler is an Iceland-based AI software startup founded in 2022, focusing on real-time defect detection and process monitoring for metal additive manufacturing.
Funding reportedLast round: Seed
Euler is an Iceland-based AI software startup founded in 2022, focusing on real-time defect detection and process monitoring for metal additive manufacturing.
The company specializes in laser powder bed fusion and selective laser sintering processes. Euler aims to enhance the scalability and readiness of additive manufacturing by utilizing existing printer camera data, eliminating the need for additional sensors. The company offers an AI-powered SaaS platform that analyzes images captured during 3D printing in real time. This platform detects and predicts defects, helping to reduce failed prints significantly and save on operating costs. Key features include real-time monitoring and alerts, layer-by-layer visualizations, and the Euler Viewer, a free browser-based tool for operators. The platform integrates seamlessly with existing printer cameras and Autodesk Fusion CAD software, streamlining workflows for users. Euler's multidisciplinary team consists of experts in AI, machine learning, and industry operations, and the company has secured funding to support its growth.
Funding, as reported
From Euler's own website: 3 on the team.
What they build
Known for
failure prediction algorithms3d printingmanufacturingfailure prediction platformenterprisesfailure detection3d printing failure predictioninformation technology & servicescomputer visionenterprise softwareindustrial equipmentlpbf systemsmanufacturing process controlprocess monitoringlpbf failure detectionworkflow automation
Built with from their website
Google Tag ManagerAmazon CloudFrontGoogle AdsGoogle WorkspaceCloudFlareViewport MetaRenderLucidewebpackC3.js
OpenAIGoogle MeetCloudFlare CDNPiniaPriority HintsReactMobile FriendlyBootstrap
Add your raise, your deck and your story, and put Euler in front of investors. Or tell us what we have wrong.