Digital Twin & Inspection Data Solutions

Your Inspection Systems Generate Valuable Data. Are You Using It? 

Every automated NDT system produces data — A-scans, B-scans, C-scans, waveform captures, calibration records, indication logs, and inspection reports. In most operations, this data is used once: to make a pass/fail decision on a component. It is then archived — or lost — and the cycle repeats.

NDE 4.0 changes that. By connecting your inspection systems to a structured digital data architecture, inspection data becomes an operational intelligence asset — one that enables predictive quality management, continuous process improvement, component lifecycle tracking, and evidence-based decision-making at every stage of the manufacturing and asset management process.

Altair Systems' Digital Twin & Inspection Data Solutions bring NDE 4.0 capability to your inspection operation — whether you are connecting a single automated system, integrating a multi-station inspection facility, or building a component-level digital twin programme for critical asset management.

 

SOLUTION COMPONENTS 

Four Integrated Capabilities. One Connected Inspection Operation. 

Component Cards: 

1. Inspection Data Management Platform A structured, searchable inspection data repository — centralising scan data, calibration records, inspection reports, and indication histories from all inspection systems in your operation. Every inspection event is captured, indexed by component identity, inspection date, operator, system, and result — and retained in a format that supports full audit trail and long-term traceability.

 

Key Capabilities: 

• DICONDE-compatible data format and storage
• Component-level inspection history database
• Calibration record management and certificate tracking
• Search, filter, and export for quality audit and customer reporting
• Integration with ERP, MES, and QMS platforms via API 

2. Digital Twin Integration Component-level digital twins that combine geometric data (CAD model) with inspection data (defect locations, sizing, severity) to create a spatially accurate representation of each component's inspection status. Digital twin data is updated with each inspection cycle — creating a living record of component condition that supports both manufacturing quality control and in-service asset integrity management.

 

Key Capabilities: 

• CAD model integration with inspection data overlay
• Defect location and sizing mapped to component coordinate system
• Trend analysis across inspection cycles — tracking indication growth or stability
• Component fitness-for-service assessment support
• Export to customer asset management systems

3. AI-Assisted Defect Analysis Machine learning models trained on inspection data from your specific component and defect population — enabling automated indication detection, characterisation, and preliminary sizing from raw scan data. AI-assisted analysis does not replace the qualified human evaluator; it accelerates the evaluation workflow, reduces evaluator fatigue on high-volume inspections, and provides consistent preliminary screening across large data sets. 

Key Capabilities: 

• Automated indication detection from C-scan, B-scan, and A-scan data
• Indication characterisation: sizing, shape, depth, orientation classification
• Confidence scoring for each detected indication — priority queue for human review
• Continuous model improvement as inspection dataset grows
• Full human evaluator override and review workflow maintained 

4. Cloud-Ready Reporting & Remote Access Inspection reports generated automatically from the inspection data platform — formatted to your quality system requirements — and distributed digitally to customers, regulatory bodies, and internal stakeholders. Remote access to live scan data, system status, and inspection results enables oversight from any location. 

Key Capabilities: 

• Automated inspection report generation and distribution
• Customer portal access for real-time inspection status and report retrieval
• Remote system monitoring and inspection data access
• Secure cloud hosting with role-based access control
• Mobile-accessible dashboard for management oversight

NDE 4.0 

What NDE 4.0 Means — and Why It Matters for Your Operation 

NDE 4.0 is the application of Industry 4.0 principles — connectivity, data intelligence, automation, and digital integration — to the inspection discipline. It represents a shift from inspection as an isolated, event-based activity to inspection as a continuous, data-driven process embedded within the wider manufacturing and asset management ecosystem. 

For inspection operations, NDE 4.0 delivers: 

Operational Intelligence Real-time visibility of inspection throughput, system performance, defect rates, and calibration status across your entire inspection operation — from a single dashboard. 

Predictive Quality Management Defect trend analysis across production batches enables early identification of process drift — catching manufacturing quality issues before they produce a batch of rejected components rather than after. 

Component Lifecycle Traceability Every component carries a complete digital inspection record from first manufacture through each in-service inspection event — enabling evidence-based fitness-for-service assessment and full lifecycle traceability. 

Reduced Evaluation Time AI-assisted indication detection reduces the time qualified evaluators spend on screening large-volume inspection datasets — directing human expertise to the indications that require it most. 

Audit Readiness Structured digital data management means audit-ready inspection records are always available — no paper chase, no missing calibration certificates, no incomplete inspection histories.

DEPLOYMENT 

Integrated into Your Inspection Systems. Configured to Your Data Architecture. 

Altair Systems' Digital Twin & Inspection Data Solutions are not standalone software products — they are engineered components of a connected inspection architecture, deployed alongside and integrated with the inspection systems we supply and commission.

For clients with existing inspection infrastructure, we offer a structured integration assessment followed by a phased deployment plan that connects existing systems, standardises data formats, and builds the data management layer without disrupting operational inspection workflows. 

Deployment pathway:

1. Current State Assessment — Audit of existing inspection systems, data formats, reporting workflows, and IT infrastructure 

2. Architecture Design — Definition of data management platform, integration interfaces, and digital twin scope 

3. System Integration — Connection of inspection systems to data platform via existing data outputs or new acquisition interfaces 

4. Platform Configuration — Setup of data repository, reporting templates, user access, and AI model initialisation 

5. Commissioning & Training — Operational deployment with full team training on platform use and reporting workflows 

6. Ongoing Support & Development — Continuous platform support, model improvement, and capability expansion as your operation evolves

WHY ALTAIR SYSTEMS

NDE 4.0 from the Team That Built Your Inspection System 

The most critical success factor in deploying NDE 4.0 solutions is understanding the inspection data itself — what the signals mean, what the defect populations look like, how the system parameters affect data quality, and what the inspection standard requires the data to demonstrate. This is specialist NDT knowledge, not software architecture knowledge.

Altair Systems brings both. Our NDT application expertise means we understand the inspection data our systems generate — and we build the digital solutions that make that data useful, reliable, and actionable. For our clients, this means a connected inspection operation built on a foundation of genuine inspection expertise, not a generic data platform applied to an inspection context.

Discuss Your NDE 4.0 Requirements →