HORIZON · INFRA · Data & AI Foundations
Responsible AI Infrastructures for Scientific Excellence
In RenAI, Suite5 leads the project's communication activities across both phases of the work plan — Task T12.1 (Communication Activities & Narrative Setup) and Task T13.1 (Communication Activities) — establishing the project narrative and brand identity and running the multi-channel outreach that carries RenAI's models, tools and adoption stories to researchers, research infrastructures, EOSC nodes and policy audiences.
Suite5 also contributes its technological experience in synthetic data generation and in bringing such capabilities to end users, and connects RenAI to complementary work it leads elsewhere: the reuse of data-operations components and foundation-model tooling from AI-DAPT, and compliance assessment and certification frameworks from ACCOMPLISH.
RenAI drives 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. Trained on curated multimodal datasets — imaging, time series and tabular data — these models support a wide range of downstream applications, from environmental monitoring to health research, while ensuring reproducibility, robustness and scientific credibility.
The project creates a federated ecosystem, aligned with the 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 further enhances research capacity by enabling experimentation in data-scarce or privacy-sensitive domains. To ensure usability, RenAI provides the coResearcher, an intuitive LLM-based assistant that lowers technical barriers and enables seamless interaction with models, services and workflows.
RenAI builds on and extends initiatives such as AI4EOSC, iMagine and EOSC Data Commons, embedding its services into the EOSC federation to guarantee interoperability, openness and long-term sustainability. The project also establishes strong links with EOSC governance and EU policy frameworks, aligning its outputs with the AI Act, FAIR principles, open science requirements, and security and ethics standards.
Beyond technical innovation, RenAI emphasises uptake and impact through training programmes, community engagement and cross-disciplinary collaboration, ensuring that infrastructures and researchers alike benefit from its outputs. By integrating ethical, transparent and trustworthy AI into scientific practice, RenAI positions Europe at the forefront of applying GenAI to accelerate discovery and address societal challenges across domains.
Talk to us about the capabilities behind RenAI — as a research collaboration or a commercial engagement.