The Digital Fabric Integrity (DFI) application comes as a solution to the broad problem of corrosion management within and is the ideal application for streamlining corrosion assessment with reduced PoB in highly corrosive environments.

From inspection to maintenance, DFI is enabling automated corrosion monitoring with the support of AI-driven corrosion identification and classification.

Digital Fabric Maintenance enables the planning, optimization, and execution of coating maintenance activities by connecting corrosion assessment data with operational planning and field execution workflows. The application supports predictive maintenance strategies by forecasting maintenance needs, prioritizing interventions, and simulating budget scenarios based on asset condition, manpower availability, and business rules.

Once priorities are established, the application generates digital workpacks that guide field activities through the VSP mobile application. Field teams can access asset context, follow standardized maintenance checklists, record execution data, and update integrity status directly from the field, ensuring a continuous feedback loop between planning and execution.

The solution is designed to streamline well integrity management, centralizing and contextualizing operational data and ultimately represent subsea anomalies and deviations through dynamic visual representation.

Ensure precise risk management, maintenance support, and timely alerts tailored to intervention needs. This approach allows quicker access to critical information and maintenance support based on accurate data.

The solution processes and visually contextualizes hull historical integrity data, such as thickness measurement and temporary repair history in an AI-Driven 3D environment.

Therefore, delivering the necessary outputs to support naval engineering and structural integrity teams on engineering analysis, lifespan or class society evaluations.

The solution enables monitoring of critical equipment performance and integration of large volumes of data through data engineering and artificial intelligence. This application enables faster mapping, analyzing, treating and correlating of equipment data.

Therefore resulting in precise predictive analysis, reduced time between failures, and accurate maintenance planning connected to ERPs and CMMSs.

Vidya’s Digital Reality Match application automates Scan-to-BIM workflows by comparing field reality with engineering design information to identify, classify, and contextualize deviations between as-built and as-designed conditions.

Using reality capture data, the application creates a spatially indexed representation of the facility, automatically matching observed conditions with corresponding elements in the 3D model. This enables teams to validate asset configuration, identify divergences, and maintain an accurate digital representation of the physical environment.

See risk in context, not in documents . Risk studies, safeguards, responsibilities, and follow-up actions are traceable and updated, ensuring that critical controls are understood, maintained, and validated throughout the operational lifecycle.

Access complete information for every safety-critical element in a single environment. Identify barriers, PSVs, and critical equipment within the 3D model and view their status, associated risk studies, inspection history, and linked engineering documentation.

Digital ScanOps is the operational layer that transforms laser scan data and engineering documentation into structured, usable intelligence across fabrication, maintenance, retrofit, and asset modification workflows.

ScanOps integrates LiDAR-derived point clouds with fragmented engineering datasets, often dispersed across legacy systems, PDFs, and contractor repositories—and converts them into structured, navigable digital assets. This reduces dependency on repetitive field visits, improves coordination across disciplines, and enables precise execution in constrained or high-risk environments such as offshore facilities, brownfield modifications, and live industrial plants.