by Lauren Stone | Oct 1, 2024
When dealing with industrial asset management, building an accurate asset model is essential for organizing equipment, improving maintenance processes, and ensuring reliability across the entire operation. However, creating these models manually can be a painstaking... by Ria Ghuman | Sep 5, 2024
Tracking revisions on technical diagrams is often overlooked, yet it’s crucial in fast-paced industrial settings where updates are frequent. Without a reliable system to manage these changes, there’s a high risk of using outdated information, which can... by Ria Ghuman | Aug 29, 2024
Once diagrams are digitized, organizations often struggle with sharing, storing, and managing these images efficiently. In large companies, diagrams are frequently scattered across departments, stored in various formats, and managed inconsistently. This lack of... by Ria Ghuman | Aug 27, 2024
Extracting data from scanned images and paper drawings is a major challenge for industries that rely on technical diagrams. These formats make it difficult to access information, requiring engineers to manually search through non-searchable documents to find specific... by Ria Ghuman | Aug 22, 2024
In this blog, we’ll break down how AI learns to recognize custom symbols, how these models adapt over time, and how they can be easily integrated into current engineering workflows to make handling P&IDs more efficient. AI is revolutionizing the way we...