RAIDO

As a partner in the RAIDO — Reliable AI and Data Optimization project, we contribute vital expertise in secure AI operations, data governance, and system optimization across multiple domains. Our efforts focus on integrating cybersecurity resilience into RAIDO’s AI Orchestrator, ensuring that AI models and data pipelines are designed with trust, transparency, and risk mitigation at their core.

By applying advanced techniques such as explainable AI (XAI), secure model validation, and feedback-based reinforcement learning, we help safeguard model integrity and privacy.

Our work enables RAIDO’s demonstrators—from smart grid optimization to robotics—to operate with both efficiency and robust security assurance, meeting rigorous EU standards and helping shape the future of trustworthy Green-AI.