sourceWERK NDT

Quality in Context.

sourcewerk NDT puts quality data into context. Quantify the effects of hundreds of process parameters on product quality through visualization and machine learning.

sourcewerk NDT is the first graphical business intelligence solution for quality control and optimization. Use meaningful visualizations to reveal connections between process parameters and product quality. View production orders over decades and zoom to individual products to analyze inspection results down to individual defects.

For the first time, specialized machine-learning models enable automatic error code prediction, independent of subjective manual decisions.

Claim resolution and the analysis of quality problems are accelerated significantly, as all relevant data is instantly available.



All relevant Data, Centrally in One Place

We connect NDT via sourcewerk Stream to your quality- and process data sources. This way, current data are centrally available to all NDT users without interfering with your production systems.


Extremly Fast Response Times

sourcewerk NDT stores all data relevant to analysis in a column-based in-memory database. This enables complex analyses and visualizations in seconds.


Visualizations Specialized for NDT

View inspection results in familiar and innovative ways. For example, ultrasonic testing data can be shown as B-scans, C-scans, or 3D reconstructions. NDT's modular architecture enables rapid integration of other custom visualizations.


Machine Learning for Defect Classification

sourcewerk NDT allows for the integration of machine-learning models for defect classification. Decisions that could only be made by experts become automatable and reproducible.


Extendable to All Inspection Methods

Data sources for GE and Olympus ultrasonic testing equipment are already available. Other inspection methods, such as eddy-current testing, x-ray, laser measurement or thermography can be added easily.


Intuitive User Interface

A modern and responsive web-based user interface reduces training time and makes working with NDT efficient and effective. Data can be easily exported for further analysis and reporting, e.g. to Excel or to external statistics- and data-mining tools.