Euler develops intelligent vision systems for the additive manufacturing industry, utilizing real-time artificial intelligence and computer vision to monitor and analyze laser powder bed fusion (LPBF) processes. The technology predicts and detects print failures, reducing downtime and material waste for manufacturers.
Funding
Funding not disclosed
Founders
Product
Problem
Laser powder bed fusion (LPBF) processes in additive manufacturing are prone to unpredictable print failures, leading to significant downtime and wasted materials. Current monitoring methods often lack the real-time intelligence needed to detect anomalies early and prevent defective builds.
Solution
Euler provides intelligent vision systems that leverage real-time artificial intelligence and computer vision to monitor and analyze LPBF processes. The platform predicts and detects print failures as they occur, enabling manufacturers to identify and address issues before they escalate. By providing comprehensive insights into the printing process, Euler's technology reduces downtime, minimizes material waste, and improves the overall efficiency of additive manufacturing operations.
Target Audience
Euler's primary customers are manufacturers and additive manufacturing teams utilizing LPBF systems who seek to improve print quality, reduce waste, and minimize downtime.
Features
- Real-time monitoring of LPBF processes using computer vision
- AI-powered prediction and detection of print failures
- Anomaly detection for recoating, exposure, warpage, metal issues, spatter, streaking, holes, hopping, and smoke
- Defect graph visualization for layer-by-layer analysis
- Annotation tools for identifying and documenting defects
- Customizable views with adjustable color, brightness, contrast, and grayscale