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AI Model Validation

Physical Consulting Virtual
Unique Identifier: 3f994e4b-8629-4200-8ec5-a3044f900a61

Service Description

This service provides systematic validation and quality assessment of artificial intelligence and machine learning (AI/ML) models. The goal is to objectively assess model performance, robustness, and reliability under controlled and reproducible conditions, supporting trustworthy AI development and deployment. The provided AI/ML model is evaluated against a user‑supplied test dataset using established validation methodologies. Based on the assessment results, a comprehensive validation report is generated, summarizing quantitative performance metrics and key quality indicators. The validation process follows state‑of‑the‑art scientific approaches and ensures transparency and reproducibility of results. The service delivers a set of quantitative AI/ML performance metrics, which may include (depending on the use case and model type): • Model accuracy and error measures • Sensitivity, specificity, precision, recall, and related metrics • Additional task‑specific or domain‑relevant performance indicators

Keywords: model validation Artificial intelligence machine learning assessment testing quality assessment
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
Published Email tefhealth@hhi.fraunhofer.de
Pricing Detail

Pricing is defined on a case‑by‑case basis and depends on the specific customer requirements, model characteristics, and validation scope. A detailed offer can be prepared upon request.

Operational Details

Service Inputs • A trained AI/ML model to be validated • A suitable test dataset
Service Outputs A structured validation report documenting the evaluation methodology, applied metrics, and assessment results
Certification Support
  • AI Act
  • CE Marking

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