AI solutions for product development

Artificial intelligence, such as machine learning, poses particular challenges for testing. Even companies with experience in traditional software development need to adapt if they want to use the technology successfully.

This is because AI systems conclude statistically, so their output cannot be predicted precisely. In addition, enormous amounts of data are required for training and testing artificial intelligence. This means completely new challenges for the development process.

We advise and support you in developing and testing AI-based components.

Our Services

  • Test methods – Testing AI requires a combination of having a profound knowledge of classic software testing and developing new approaches. With our structured process model for testing AI systems, we can help you to develop and introduce new test methods that fit your application scenarios.
  • Selection of training data – The systematic analysis and selection of suitable training data is crucial to optimize the quality of the data sets and prevent a lack of data integrity, bias or statistical imbalances from diminishing the quality of the AI system. We ensure the statistical balance of training data for AI algorithms through optimized probability models.
  • Domain-specific optimization of AI systems – For many scenarios, it is essential to know the capabilities and limitations of the AI components used. An operational design domain (ODD) can be used to define the operating range of such an AI system. We advise and support you in this and thus create the basis for the goal-oriented testing of the system.
  • Test case creation and test selection – We deliver statistically balanced and representative test data that increases the quality and significance of your tests. End-of-test criteria can also be defined. We determine the number of test cases required in order to obtain statistically valid test results.
  • Test data generation – We provide balanced and statistically representative test data using real and simulated data sets.
  • Test automation – Increase test efficiency with automated tests! The test runs are traceable and repeatable, the tests consume fewer resources and can be carried out at any time.

Your benefits

  • Higher quality of AI models
  • Less model-bias and distortions
  • Time and cost savings in model development and testing of the AI system
  • Balanced and representative test data for your use case
  • Better quality assessment and evaluation of your AI system
  • Benefit from our experience and expertise

Use Cases

  • Development of test procedures for the validation and certification of AI-supported components for safety-critical applications in railroad technology
  • Test selection and prioritization using suitable AI methods (reinforcement learning) in the context of continuous integration
  • Use of machine learning methods for the automated generation of test inputs and the test evaluation of embedded systems

How can we support you?

Let us identify how we can help you to find the best solution to fit your needs!

Your Sales contact:
Sebastian Stritz
Phone: +49 (0)30 6098501-17
Email: sebastian.stritz@itpower.de

Book a Call now!