One cloud database, 50,000+ turbines: GE's approach to centralized NDT data cut downtime 18%. See the five-phase migration plan and the tradeoffs it forces.
Atlantis NDT
·
· Technology & Innovation
Technology Overview
Cloud-based NDT data management systems centralize inspection records, analysis results, and trending data in secure, scalable infrastructure accessible from any location. Rather than managing inspection data across disconnected local databases, spreadsheets, and filing systems, cloud platforms provide unified access to complete inspection histories, enabling correlation of results across multiple assets, facilities, and time periods.
Modern platforms provide RESTful APIs enabling integration with inspection instruments, analysis software, and enterprise asset management (EAM) systems. Data captured during inspection automatically uploads to the cloud, where it undergoes automated processing, statistical analysis, and comparison to historical trends. Access control systems ensure that appropriate personnel can view sensitive inspection data while maintaining security and audit trails.
Current Applications
GE Power Services manages wind turbine blade NDT records across 50,000+ turbines globally using cloud-based platforms. The system correlates inspection findings with operational data and environmental conditions, enabling predictive maintenance scheduling that reduces downtime by 18%. The unified database enables rapid identification of fleet-wide defect patterns.
Total E&P uses cloud infrastructure to manage inspection records from subsea pipeline operations across multiple deepwater fields. The system automatically flags recurring defect types, tracks degradation rates, and enables offshore personnel to access baseline inspection data in real-time for in-service decision-making.
Benefits and Advantages
Accessibility: Authorized personnel access inspection data from any location using standard web browsers, enabling remote inspection reviews and expert consultation without requiring data transfer or email chains.
Trending and Analytics: Cloud systems correlate inspection data across assets, time periods, and locations, revealing patterns invisible in isolated inspections. Machine learning models identify degradation trends and predict failure risk.
Integration: APIs enable seamless integration with inspection instruments, EAM systems, and engineering tools, eliminating manual data transcription and enabling automated workflows.
Scalability: Cloud infrastructure automatically scales with inspection volume, eliminating concerns about database capacity constraints.
Disaster Recovery: Cloud providers maintain geographic redundancy and automated backups, ensuring inspection records survive facility disasters.
Limitations and Challenges
Data Security: Storing sensitive inspection data in cloud infrastructure raises concerns about unauthorized access and data breaches. Organizations require encryption, access controls, audit logging, and compliance with data residency requirements.
Connectivity Dependence: Field inspection instruments require internet connectivity for real-time data upload. Unreliable connections or limited bandwidth at remote inspection sites necessitate offline capabilities and deferred upload.
Legacy Integration: Many organizations maintain legacy inspection systems with proprietary data formats that don't integrate with modern cloud platforms, requiring custom data migration or conversion tools.
Cost Structure: Cloud subscriptions involve ongoing per-user and per-record fees that can exceed one-time capital investments in on-premise servers for large organizations with substantial inspection volumes.
Implementation Guide
Phase 1: Needs Assessment (Weeks 1-4) Define data management requirements, identify current inspection systems and data formats, assess security requirements and regulatory compliance needs (HIPAA, GDPR, industry-specific regulations), estimate inspection volume and user count for cost projections.
Phase 2: Vendor Selection (Weeks 5-8) Evaluate platforms for required features (trending, analytics, integrations, security certifications), request proposals and conduct reference checks, negotiate service level agreements (SLAs) specifying availability, support response time, and data backup frequency.
Phase 3: Data Migration (Weeks 9-16) Export inspection records from legacy systems, clean and standardize data formats, establish mappings between old and new systems, perform validation to ensure migration accuracy. Budget 40-60% additional time for legacy data with inconsistent formatting.
Phase 4: Integration Development (Weeks 17-24) Develop APIs or custom integrations connecting cloud platform to inspection instruments and EAM systems, establish automated data upload workflows, test end-to-end data flow from instrument to cloud storage to reporting.
Phase 5: User Training and Adoption (Weeks 25-28) Provide user training for inspectors, managers, and analysts, develop procedures for common tasks, establish governance defining who can upload data, modify records, and access sensitive information.
Cost Analysis
Setup Costs: cost varies by specification Data migration and conversion (a significant capital item), integration development (a significant capital item), implementation services (a significant capital item).
Annual Subscription: cost varies by specification+ Per-user fees, storage fees, and analytics tiers each add their own line — pricing models vary by vendor, and advanced features (a significant capital item).
ROI Drivers: Elimination of on-premise server maintenance (cost varies by specification annually), improved trending reducing unnecessary inspections (cost varies by specification annually), faster failure response enabling condition-based maintenance (cost varies by specification annually).
Future Outlook
Artificial intelligence and machine learning integrated directly into cloud platforms will provide real-time anomaly detection, automatically flagging unusual indications without waiting for inspector review. Augmented intelligence approaches will combine AI screening with expert inspector confirmation, optimizing human-machine collaboration.
Blockchain integration will provide tamper-proof records of inspection chains, enabling forensic verification of data integrity and establishing clear accountability. This will be particularly valuable for safety-critical applications.
Frequently Asked Questions
Q1: How secure is cloud-based inspection data?
A: Reputable platforms employ encryption in transit and at rest, geographic redundancy, access controls, and regular security audits. However, no system is 100% secure. Evaluate vendor certifications (SOC 2, ISO 27001, etc.) and ensure contractual obligations align with your security requirements.
Q2: What happens if internet connectivity is unavailable during field inspections?
A: Select platforms with offline modes enabling inspection data capture on field devices with deferred upload when connectivity is restored. Test this capability before deployment in areas with unreliable connections.
Q3: Can cloud platforms integrate with our existing inspection systems?
A: Most modern platforms offer APIs enabling integration. Legacy systems may require custom development. Budget 4-12 weeks and cost varies by specification for integration development depending on system complexity.
Q4: How do we maintain compliance with data residency requirements?
A: Verify that cloud providers support geographic data residency options (storing data in specific countries). Some regulated industries require data to remain within national boundaries, limiting provider options.
Q5: What trending and analytics capabilities should we require?
A: At minimum: trending of repeated measurements, statistical analysis of inspection populations, automated alerts for out-of-limit conditions, and integration with operational data. Advanced analytics include machine learning defect classification and remaining useful life prediction.
Q6: How much does cloud NDT management cost compared to on-premise systems?
A: Break-even typically occurs at 3-5 years. Small organizations benefit from cloud's lower upfront costs; large organizations with 1,000+ annual inspections may find on-premise systems more economical long-term despite higher capital investment.
Q7: How do we migrate legacy inspection data?
A: Export data in available formats (CSV, XML, proprietary formats), develop conversion scripts or use vendor migration services to standardize formats, validate accuracy of converted data against original records, archive original data in case discrepancies emerge.
Q8: What happens to our data if the cloud provider fails?
A: Verify contractual obligations for business continuity and disaster recovery. Reputable providers maintain geographic redundancy and regular backups. Test periodic recovery to ensure backups are restorable.
Q9: Can we generate inspection reports automatically from cloud data?
A: Yes, modern platforms support automated report generation with customizable templates, standardized formatting, and automated compliance checking against acceptance criteria.
Q10: How does cloud NDT integration support comprehensive inspection strategies?
A: Cloud platforms consolidate data from multiple inspection methods, enabling digital twin integration and supporting predictive maintenance. For guidance on leveraging cloud data for strategic advantage, consult with NDT and asset management specialists.
Running this as a programme, not a one-off
If you are responsible for an inspection programme rather than a single job, the recurring problem is rarely the code — it is keeping measured thickness, damage-mechanism assignment and next-inspection dates in one defensible place. Asset integrity management software covers keeping measured thickness readings per CML in one place, so the RBI (API 580/581) and fitness-for-service (API 579) work your integrity team or its specialists carry out starts from measured data rather than default rates. Atlantis supplies the NDT data and the software to hold it; it does not perform RBI or FFS assessments.
Atlantis NDT Products & Services
What is cloud NDT software?
Cloud NDT software is inspection software that stores reports, technician certificates, calibration records and job data on a server reached over the internet, instead of on one office PC or a local file share. Technicians, reviewers, Level IIIs and clients work from the same records wherever they are, and field data syncs back to the central system rather than travelling on USB sticks and email attachments.
That definition matters because a lot of what is sold as cloud NDT software is really a file-sharing folder with a nicer front end. For an NDT company in the USA or Canada, the useful test is not where the files sit but whether the data is structured: can you search every UT report on a given client's pipe rack, see which technician signed it, which instrument and probe were used, whether that instrument was in calibration that day, and which procedure revision applied? If the answer requires opening PDFs one by one, the data is stored in the cloud but not managed there. This article looks at cloud based NDT data management from the operations side: what data you actually hold, cloud versus on-premise, offline capture in the field, security and retention, where the data lives, and why an open API matters.
Cloud based NDT data management: what data are we talking about?
Cloud based NDT data management means keeping every record an inspection job produces in one structured, searchable system, reachable from office and field. It is wider than reports alone.
A typical inspection contractor generates at least six kinds of data on every job:
Inspection reports by method, with readings, indications, results and signatures.
Technician qualification records: certificates, levels, methods, OJT and training hours, exam results and vision tests.
Equipment and calibration records: serial numbers, calibration certificates, due dates and who had the instrument.
Procedures and their revisions, with who approved what and when.
Job and commercial data: work orders, client POs, drawings, WPS numbers, timesheets and invoices.
Photos and attachments from site.
When these sit in different places, proving that a single report was valid means stitching together four or five sources. When they sit in one system, the report already links to the technician, the instrument, the calibration certificate and the procedure. That is the practical goal of NDT data management software: not storage, but traceability you can show a client auditor in minutes.
Cloud vs on-premise NDT software
Cloud NDT software is usually the better fit for service companies with crews spread across sites, while on-premise suits organisations with strict rules about data leaving their own network. Many companies end up somewhere in between, with the system on a server they choose.
Factor
Cloud hosted
On-premise or own server
Access for field crews
From any site with a connection; offline app covers dead zones
Needs VPN or remote access set up by your IT
IT burden
Hosting, updates and backups handled as part of the service agreed
Your team patches, backs up and monitors the server
Data location control
Agreed with the provider
Fully in your hands
Sharing reports with clients
Approved reports sent from the same system crews use
Same, but any outside access runs through your own network setup
Fit for
Service companies with mobile crews across states or provinces
Owner-operators or companies with strict internal data policies
With the Atlantis ERP solution, the deployment location is agreed during implementation, so the choice is made on your requirements rather than dictated by the software. The same apps, reports and field app run either way.
Offline field capture that syncs later
Cloud NDT software is only useful in the field if it still works when the signal drops. Offline capture is not a nice-to-have in this industry; it is the difference between a report written on site and a report rewritten from memory in a motel room.
Think of where North American crews actually work: inside a refinery unit in Port Arthur, in the bottom of a tank, on a pipeline right-of-way in northern Alberta, in the engine room of a vessel alongside in the Port of Houston, or in a shielded area during a shoot. Cellular coverage in those places is patchy at best, and some plant sites restrict devices on their networks altogether.
The Atlantis field app is an installable web app that works without signal. It stores drafts and photos locally on the device and syncs them when a connection is available. Technicians pick the method, capture photos, sign on screen and preview the PDF before leaving the job. Behind it, a REST API for field devices serves the jobs assigned to that technician, the equipment issued to them, report submission and sync. So the technician sees only their own jobs and their own issued instruments, and when the report reaches the office it already references the job, the equipment serial and the technician, rather than arriving as a loose photo of a paper form. See the NDT Reports app for more.
Structured reports instead of scanned paper
The real value of NDT data management software shows up when reports are structured by method. A scanned report is a picture; a structured report is data you can search, review and reuse.
The Atlantis ERP holds 17 report types, each with its own numbering: UT, RT, MT, PT, VT, ECT, IRIS, PAUT, MFL, TOFD, PWHT, PMI, hardness, UT thickness, ferrite, holiday/coating and computed radiography. Method-specific fields include the UT probe calibration table, RT source, technique, IQI type and placement, MT technique and particle type, PT method and developer, PAUT focal laws, MFL scan mode and item lines, and UT thickness readings by direction. Weld and job lines record defect type and orientation, and each report has an overall result of acceptable, not acceptable or acceptable with remarks.
Reports move through draft, in progress, review, approved and sent, with inspector, reviewer and approver signatures and a third-party or authorized inspector name and signature. References to work order, request, WPS, contract, drawing, procedure and standard are captured. Output uses your versioned templates in Excel, Word, PDF or HTML, with Excel templates filled by mapping fields to cells. The reporting engine is described on the Digital Twin Reporting Software page.
Data security for cloud NDT data
Security for cloud NDT data comes down to who can see what, who can change what, and whether you can prove what happened. Plant owners care about this because inspection results on their equipment are sensitive, and some drawings are controlled documents.
In practice, NDT data security questions to ask any vendor include:
Access by role. Technicians should see their own assigned jobs and issued equipment; reviewers and Level IIIs see what they approve; clients see only their own reports. User access rights by role are configured during implementation of the Atlantis ERP, and the field API is already scoped to jobs and equipment assigned to the signed-in technician.
Controlled approval. A report should not change silently after it is approved. The Atlantis report workflow records who inspected, reviewed and approved, with signatures, and procedure revisions are locked once approved with a snapshot kept of every revision.
Hosting and backups. Where the server sits, how it is backed up and who manages it are agreed during implementation, alongside the deployment location.
AI and your data. If you use AI features, ask where the model runs. The Atlantis AI marketing features can use a model running on your own server.
If your client has a specific security questionnaire, send it over and we will answer it for your deployment. Ask us about security for your setup.
Retention of NDT records
How long you keep NDT records is set by your client's contract, the construction code or specification the work was done to, and your own quality system, not by the software. What the software must do is make retention practical: records that are complete, linked and still findable years later.
Retention usually fails in one of three ways. The report survives but the calibration certificate for the instrument used does not. The technician's certificate from that year was overwritten when they recertified. Or the procedure was revised and nobody can show what the old revision said. The Atlantis ERP addresses each of these. Calibration records and calibration certificates are held per instrument serial with their PDFs. Technician certifications are separate records with issue, expiry and renewal dates rather than one overwritten line. Procedures keep a full revision history with a snapshot of each revision. Retention periods and archiving rules for your company are configured during implementation, so they match what your clients and your quality manual require.
Where your NDT data lives
Data location matters to North American buyers for practical reasons: some owner-operators require inspection data to stay within the country, some Canadian clients prefer Canadian hosting, and some companies simply want the server under their own control.
With the Atlantis ERP, the deployment location is agreed during implementation. That conversation covers where the server is, who administers it, how it is backed up and how field devices reach it. Because the same system runs in either setup, you are not locked into one model if your client mix changes later. Tell us your constraints early, for example a client in Alberta's oil sands with its own data rules or a US federal-adjacent customer with stricter requirements, and the deployment is planned around them.
Open REST API: avoiding data lock-in
NDT data management software should never trap your records. An open REST API means inspection data can flow to and from the other systems your company and your clients already run.
The Atlantis ERP has an open REST API and integrates with SAP, Maximo, NetSuite, QuickBooks or any system that accepts API connections, scoped per implementation. Typical uses for inspection contractors include pushing approved invoices to accounting, sending report status to a client's maintenance system, or pulling work orders in from a client portal. The same API family serves the field app: jobs assigned to a technician, equipment issued to them, report submission and sync. For owners who later want a 3D view of results, Atlantis Digital Twins visualises inspection data on the asset, with damage and indication mapping and thickness and remaining-life trends.
Choosing NDT data management software: a checklist
The best NDT data management software for a service company is the one that links reports to the people, equipment and procedures behind them, works offline, and lets you decide where the data lives. Use this checklist when comparing options:
Does it have method-specific report types, or one generic form with attachments?
Does each report link to the technician's certificate and the instrument's calibration record?
Does the field app work offline and sync later?
Is there a review and approval workflow with signatures, including third-party inspectors?
Can it use your existing report templates?
Are procedure revisions controlled and kept?
Can you choose the deployment location?
Is there an open API for accounting and client systems?
Does it connect to dispatch, timesheets and invoicing, or will you re-key data?
The Atlantis ERP solution answers yes to each of these, and the NDT pieces are configured to your company during implementation. Pricing is quote on request.
Moving from shared drives to cloud NDT software
Most companies moving to cloud NDT software are coming from a shared drive, a set of spreadsheets and a filing cabinet. The move is simpler than it looks if it is done in the right order.
Start with the records that everything else depends on: technicians and their certificates and vision tests, then equipment with calibration certificates, then procedures with their current revisions. Next, load your report templates and check them against a handful of real past reports so the output matches what clients already receive. Then set up clients, sites and service products so jobs can be created. Historic reports can be attached to the relevant client and job as files; new reports are written as structured data from day one. Train office staff first, then field technicians on the offline app. Book a demo of cloud based NDT data management to see the workflow end to end.
Frequently asked questions
Is cloud NDT software safe for client inspection data?
It can be, provided access is controlled by role, approvals are recorded and hosting is agreed. In the Atlantis ERP, role-based access and hosting are configured during implementation, and reports carry inspector, reviewer and approver signatures.
Can technicians use the software without internet on site?
Yes. The installable field app stores drafts and photos on the device when there is no signal and syncs them later, with method picker, photo capture, on-screen signature and PDF preview.
Can we host the NDT data ourselves instead of in the cloud?
Yes. The deployment location is agreed during implementation, whether that is a hosted server or one you control.
What is the difference between NDT data management software and NDT reporting software?
NDT reporting software produces the report; NDT data management software also links it to the technician's certificate, the instrument's calibration, the procedure revision and the job. The Atlantis ERP does both.
Can the data connect to SAP, Maximo or QuickBooks?
Yes. The open REST API integrates with SAP, Maximo, NetSuite, QuickBooks or any system that accepts API connections, scoped per implementation.
How long does the system keep NDT records?
Records stay until you archive them; retention and archiving rules are configured during implementation to match your clients' contracts, the applicable code and your quality system.
How do we get pricing?
Pricing is by quote on request, based on the apps, templates, deployment and integrations you need. Request a quote.
Where Atlantis can help
Atlantis provides NDT inspection, ASNT SNT-TC-1A training, Level III consulting and NDT software.