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DIMATE AI Solutions

Operational AI for NDT

Built on structured NDT data. Validated with your team in real-world inspection workflows.

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Operational AI starts with structured inspection workflows

Most inspection workflows in refining, chemical processing, energy production and aerospace are already digital. However, critical activities still often depend on manual checks, spreadsheets and disconnected systems.

For AI, this presents an additional challenge. AI models can only perform reliably when they are trained and validated using structured, high-quality inspection data. Without that foundation, AI often remains a promising concept rather than an operational tool.

DIMATE provides the evidence foundation required for AI in asset integrity. By connecting inspection data, workflows and operational processes, DIMATE creates the foundation required to develop, train and deploy AI-assisted solutions that support real inspection activities - from automated screening and validation to reporting and decision support. The result is operational AI built around inspection reality, not isolated datasets.

From integrity challenges to targeted AI Solutions

  1. Inspection managers face operational integrity challenges caused by fragmented inspection data, manual validation activities and disconnected workflows, driving the need for targeted operational AI solutions.
  2. Reliable AI depends on reliable training data. DIMATE standardizes, validates and connects inspection data across operational workflows, creating the foundation to train, validate and co-develop targeted AI solutions with asset operators.
  3. The result is a targeted AI workflow built around the operational reality of the asset operator - supporting practical inspection use cases such as automated evaluation, anomaly screening and inspection data validation as a second pair of eyes.

Our AI Solutions

AI Automated Wall Thickness Evaluation

  • AI-assisted evaluation of remaining wall thickness from RT images
  • Consistent and reproducible results across large inspection datasets
  • Reduced manual review effort and faster evaluation workflows
  • Direct integration with AIM/IDMS systems for traceable reporting

AI Automated Image Calibration

  • Automatic calibration of RT images in both image axes
  • Objective and reproducible calibration quality assessment
  • Reduced manual interaction during image preparation
  • Supports consistent and audit-ready inspection workflows

AI Automated Data Matching

  • AI-assisted verification of RT images against asset and order data
  • Reduces manual assignment errors and data mismatches
  • Improves data integrity across inspection workflows
  • Supports traceable and audit-ready inspection records

AI as a decision support

DIMATE AI supports inspectors and integrity teams in tasks that are repetitive, time-consuming and prone to inconsistency. Instead of replacing engineering judgement, the AI modules act as decision-support tools within existing NDT workflows. Each of our modules is designed to reduce manual effort, improve data consistency, and accelerate the path from inspection data to integrity decisions.

The result: less time spent on repetitive review tasks, faster access to inspection evidence, and more time available for technical evaluation.

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Future AI developments

Co-developed with our clients to address real inspection challenges.

DRONE INSPECTION

  • Drones capture the condition of assets
    through regular video inspections.
  • AI compares video recordings over time
    to automatically identify changes and
    degradation trends.
  • Potential anomalies are highlighted early,
    enabling faster and more informed integrity
    decisions.
In Development

AI ASSISTED RT WELD EVALUATION

  • AI automatically analyzes radiographic weld
    inspection data and highlights areas that
    requires inspector attention.
  • Inspection findings are assessed against
    applicable industry standards (including DIN/ISO, API and ASME).
  • Automated screening helps inspectors
    focus on the most relevant findings first.
In Development

Discover AI opportunities in your inspection workflow

Together with your inspection and integrity teams, DIMATE identifies operational bottlenecks in evaluation, reporting and inspection data workflows - enabling targeted AI-assisted solutions that reduce manual workload, improve inspection data quality and support faster integrity decisions.

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Let's build your AI use case together.

Florian Anke
DIMATE

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FAQ

Successful AI projects do not start with AI alone. They start with structured, high quality inspection data.

To train an AI model, digital NDT data must be available - preferably the original raw data - together with annotations (markings in images or signal traces) and the corresponding inspection reports. Without this information, the AI cannot learn to recognize inspection indications reliably.

The same applies during daily operation. AI performs best when inspection data flows through a fully digital workflow. Asset integrity systems, NDT equipment, reporting software and review workstations should exchange structured data instead of disconnected files.

Only then can AI learn from the wide variety of inspection scenarios encountered in practice and provide reliable support during inspection and evaluation.

Before starting an AI project, it is worth checking your existing NDT data:

• Is your NDT data available in digital format?

• Which format is used? (DICONDE is the preferred standard.)

• Do the image files contain annotations identifying indications or inspection comments?

• Are inspection reports available in digital form and linked to the corresponding raw NDT data?

We help asset owners and NDT service providers assess their existing inspection data and identify the practical requirements for AI-supported inspection workflows.

No.

DIMATE AI is designed to support inspection professionals, not replace them.

AI-assisted workflows can help identify anomalies, inconsistencies and areas requiring attention, but final assessments and integrity decisions remain with qualified personnel.

The goal is to reduce repetitive review activities and help experts focus on the findings that matter most.

AI can only learn from high-quality inspection data. DIMATE helps create this foundation by standardizing, connecting and validating inspection data across workflows, systems and inspection methods. This enables inspection datasets to be used for training, testing and continuously improving AI-assisted workflows.

Yes.

DIMATE is designed to operate within existing inspection environments and can integrate with connected systems such as IDMS, AIMS, ERP and other operational data sources.

The objective is to enhance existing workflows rather than replace them.

Potential applications include:

• Automated wall thickness measurements in RT images

• RT Weld image screening

• Drone video inspection analysis

• UT inspection data validation

• Automated matching and quality checks in NDT results

• Reporting support

• Anomaly detection (ADR)

• Historical trend analysis

The exact use cases depend on the available data, workflows and operational objectives.

No.

Inspection data remains under the control of the asset owner and is only used within agreed project and deployment environments.

Data governance, confidentiality and ownership remain critical requirements for all AI-assisted workflows.

AI should solve a real operational problem - not exist for its own sake.

The process starts with a bottleneck in your inspection workflow identified by your inspection or integrity team, such as manual validation, large review workloads or reporting delays. Together, we evaluate the challenge, assess the available data and identify where AI-assisted workflows can provide support.

DIMATE then works with your inspection and integrity teams to develop, train and validate AI solutions built around your operational reality, data environment and inspection objectives.

Yes.

We develop our PACS and AI solutions with a strong focus on cybersecurity. Our software undergoes independent penetration testing commissioned by customers and is FIPS compliant (Federal Information Processing Standards), meeting recognized requirements for cryptographic security.

Inspection data supports decisions about the integrity and safe operation of critical assets. Protecting that data against unauthorized access and manipulation is therefore just as important as making it available when needed. We remain committed to providing our customers with a high level of IT security - now and in the future.

Read more about what FIPS compliance means for inspection software: https://www.dimate.de/en/detail/beyond-it-security-what-fips-really-means.html

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