SOURCE-LINKED INTELLIGENCE
RENAI – RESPONSIBLE AI INFRASTRUCTURES FOR SCIENTIFIC EXCELLENCE
RENAI – RESPONSIBLE AI INFRASTRUCTURES FOR SCIENTIFIC EXCELLENCE RenAI will drive a new paradigm in the use of Generative AI for science by delivering a suite of domain-specific and cross-domain foundation models, co-created with European research infrastructures and scientific communities. These models, trained on curated multimodal datasets—including imaging, time series, and tabular data—will support a wide range of downstream applications, from environmental monitoring to health research, while ensuring reproducibility, robustness, and scientific credibility. The project create a federated ecosystem, aligned with EOSC federation strategy, where researchers can easily access, fine-tune, and apply these models, supported by tools for data discovery, transformation, benchmarking, and compliance. Synthetic data generation will further enhance research capacity by enabling experimentation in data-scarce or privacy-sensitive domains. To ensure usability, RenAI will provide the coResearcher, an intu
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 9954687.93
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.