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AI Model Training and Testing

Physical Consulting Virtual
Unique Identifier: c227fb1f-15ca-469d-8bf0-45c3c0e22d7e

Service Description

This service supports the development, training, and systematic testing of AI and machine learning models in a controlled experimental environment. It enables technology providers to improve model performance, robustness, and generalization by combining structured training workflows with rigorous testing and evaluation procedures prior to deployment or further validation steps.   The service covers the supervised training and testing of AI/ML models using customer‑provided data and problem specifications. Depending on the use case, model training is performed using established machine learning and deep learning methods, followed by structured testing on independent datasets.
Testing and evaluation activities focus on assessing model performance, stability, and generalization behaviour under defined conditions. The process and results are documented in a technical report, supporting iterative model improvement and downstream validation or certification activities.

The service applies state‑of‑the‑art methods from applied machine learning and experimental AI research, following best practices for data handling, model training, and performance evaluation as commonly used in academic and industrial AI development.   Depending on the task and model type, evaluation outcomes may include: • Quantitative performance metrics (e.g. accuracy, error measures, task‑specific scores) • Evidence of improved generalization on held‑out test data • Identification of performance limitations, failure modes, or data‑related issue

This service is offered by Fraunhofer HHI.

Keywords: performance evaluation Artificial intelligence machine learning model training model testing experimentation
Offerings: Research & Development Model & Algorithm (Development, Optimization & Evaluation, etc.)
Provider Logo

Provider & Contact

Provider Organisation Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)
Provider Country Germany
Organisation Website https://hhi.fraunhofer.de
Published Email tefhealth@hhi.fraunhofer.de
Pricing Detail

Pricing is determined individually based on the scope of training, data volume, model complexity, and customer requirements. A detailed offer can be prepared upon request.

Operational Details

Service Inputs Customer‑provided inputs: • Training and test datasets • Problem definition and training objectives • (Optional) Initial model architectures or baseline implementations
Service Outputs • Trained AI/ML model(s) • A technical report documenting training setup, testing methodology, and evaluation results
Comments The service is delivered by Fraunhofer Heinrich‑Hertz‑Institute (HHI) as a TEF‑Health partner. Fraunhofer HHI provides: • Compute infrastructure for model training and testing • In‑house software frameworks and tooling • Expert scientific and technical support in applied AI and machine learning

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