Let's connect ↗Connect visual inspection to asset operations by turning approved image-based findings into evidence that maintenance teams can review and act on.
Asset programs are connecting inspection, condition signals and AI-assisted insight with work management. The difficult handoff is often between finding a problem and getting the right person to act with the right context.
Pragma Edge organizes asset work around See, Listen, Think and Act. We connect asset data, inspection evidence, monitoring and prioritization with planning and field execution, choosing the scope that fits the customer environment.
Start with a representative asset class and a maintenance journey. Validate data quality, agree when an observation warrants action, and review whether the resulting work improves the operating process before expanding coverage.
Choose the defect or condition to detect and establish representative images and acceptance criteria.
Associate findings with the correct equipment and operating location.
Link accepted observations to investigation or maintenance work, preserving the image evidence.
A production team evaluates image-based defect detection and sends uncertain findings to an inspector before raising maintenance work.
Use your current environment, a representative workflow and its exceptions to define the work. Confirm the supported versions, integration boundaries, acceptance criteria and delivery responsibilities before implementation.
Discuss your environment →Scope image capture, defect labeling, evaluation and review with inspection specialists. Connect accepted findings to asset identifiers and work-management processes.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
Explore the related technology and its role in your business process.