Digimet offers a web-based platform that digitizes and automates metallurgical testing, including macrographic, metallographic, and Brinell hardness analyses. By leveraging IoT, Machine Learning, and Data Science, it accelerates analysis speed and accuracy, providing standardized, AI-assisted reporting for improved process control and traceability in industrial quality control.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional metallurgical analysis processes, such as macrographic and metallographic examinations and Brinell hardness testing, are often manual, time-consuming, and prone to human error. This leads to inefficiencies, increased operational costs, and a lack of standardized, data-driven insights for process optimization in industrial settings.
Solution
Digimet provides a web-based platform that digitizes and automates key metallurgical testing procedures, including macrographic analysis for weld inspection, metallographic analysis for cast iron and steel, and Brinell hardness testing. By integrating IoT, Machine Learning, and Data Science, the platform enhances the speed and accuracy of these analyses, reducing processing time by over 80% for metallographic examinations. It offers a 100% web-accessible interface, enabling users to capture high-resolution images, perform complex analyses with AI assistance, and generate standardized PDF reports with a single click, thereby improving process control, standardization, and traceability.
Target Audience
The platform targets industrial clients, specifically laboratories and manufacturing facilities involved in quality control and material science, who require efficient and accurate metallurgical testing.
Features
- Web-based platform for digitizing metallurgical processes including macrographic analysis (Weld Bead Inspection
- DIS), metallographic analysis (dmm), and Brinell hardness testing (ddb).
- Utilizes IoT, Machine Learning, and Data Science for automated analysis of cast iron and steel, including phase volume, crack density, grain size, and graphite characteristics.
- AI-powered analysis for metallographic examinations completes primary analyses in under 45 seconds.
- One-click PDF report generation, eliminating manual data entry and copy-pasting of images.
- Work routines feature to automate review processes and standardize analysis workflows.
- Remote accessibility allowing clients to view metallographic analysis results in real-time from any location.
- Integration capabilities for exporting results to other systems.
- Supports capture of high-resolution images via HD cameras connected to microscopes.