In an era where generative AI is rapidly becoming part of Europe’s digital infrastructure, OptimAIse emerges as an innovative initiative aimed at making its development more efficient, sustainable and trustworthy.
The project will introduce a modular and interoperable software-engineering framework for the development and deployment of generative AI systems. Based on open-source components and validated through industrial use cases in healthcare, robotics and AI factories, OptimAIse will support developers across the entire lifecycle of AI models, from testing and optimisation to deployment and continuous monitoring.
The solution combines a scalable reference architecture, intelligent orchestration tools, energy-efficient European hardware and secure mechanisms for model and data traceability.
What makes OptimAIse unique is its ability to integrate performance, sustainability and trustworthiness within the same engineering environment. Explainability, fairness, robustness and regulatory compliance will not be treated as additional checks carried out after development, but as measurable requirements embedded directly into the design and release of generative AI systems.
CyberEthics Lab. will ensure ethical and regulatory governance throughout the entire research and innovation process. As leader of the project’s work on fairness, bias and explainability, CEL will define the foundations and assessment criteria needed to produce explanations that are transparent, meaningful and appropriate for different users, including technical experts, citizens and regulators.
Through the ERGO framework and the ETHAI methodology, our expertise will guide the translation of the GDPR, the EU AI Act and European trustworthy-AI principles into concrete technical requirements, risk assessments and compliance checkpoints. This work will be supported by continuous ethical and legal monitoring, including the evaluation of risks related to opacity, uncertainty, automation bias and over-reliance on AI-generated results.
Developed by a multidisciplinary consortium of technology companies, research institutions, universities and public-sector organisations, OptimAIse represents a significant step towards a European ecosystem for responsible generative AI. Through its combination of efficient computing, adaptive deployment, secure traceability and ethics-by-design, the project aims to support AI systems that are not only more scalable and resource-conscious, but also more transparent, accountable and aligned with European values.
