EU AI Act Article 10 requires high-risk AI systems to use training, validation, and testing data that is relevant, representative, appropriately governed, and documented. InfoBay supports this requirement with source-aware corpus metadata, data cards, and provenance records for enterprise AI teams.
For procurement and compliance teams, the practical question is not only whether a dataset performs well, but whether its source, licensing path, modality, language, and quality controls can be inspected before deployment.
Textbook sources carry traceability signals for review.
Audio records carry language, industry, and channel context.
Healthcare assets carry modality and clinical category metadata.
Article 10 makes data governance part of model risk management. Teams need to show how datasets were selected, documented, quality-controlled, and reviewed for intended use.
InfoBay’s corpus is structured around provenance, metadata, and quality review so enterprise teams can evaluate suitability before licensing or model use.
Answers for buyers
InfoBay provides provenance-oriented dataset documentation and data cards that help enterprise teams review training data sources, modality, language coverage, and quality controls.
No. Article 10 also reflects model-quality concerns: training data should be relevant, documented, and suitable for the intended AI system.
Yes. InfoBay supports scoped sample requests so technical and compliance teams can inspect format, coverage, and suitability before procurement.