Piloting and Validation activities are essential components of any technical project as a means to systematically verify that the designed solution meets functional, performance, and user requirements under realistic conditions. RAIDO dedicates Work Package 6 to the integration, demonstration and assessment of the project’s core platform. Netcompany SA, as a leading European IT solutions and Services Group, leads these activities and provides technical guidance to the consortium for the realisation of the fully integrated platform and the coordination of the pilot developments. As RAIDO enters its intensified piloting phase, four real-word pilots and eight use cases are specifically designed to evaluate the applicability, efficiency, viability, profitability, effectiveness and limits of the RAIDO architecture. Specifically:

• Pilot 1 (led by AYESA, PPC and CERTH) showcases the project’s capabilities in transforming energy grid management through AI-driven forecasting, synthetic data generation, and explainable decision-making. Pilot 1 showcases the project’s capabilities in Data Enrichment, Model Distillation, Bias detection in models and data through Explainable AI (XAI) and showcases the utility of both Federated and Continual Learning.
• Pilot 2 (led by BIOLYNX/KU) illustrates how RAIDO can transform smart farming and fungal-based food production. The second project pilot implements AI-driven monitoring, Synthetic Data Generation, Auto-Annotation and Model Distillation for early contamination detection.
• Pilot 3 (led by JESSA/VITO) utilises RAIDO to enhance the trustworthiness, explainability, and fairness of pharmacogenomics (PGx) data through advanced AI and human-in-the-loop strategies. Pilot 3 implements Explainable AI and Federated Learning in a high-criticality case where patient data must be safeguarded.
• Pilot 4 (led by UBFC/THL) applies RAIDO in the context of revolutionising robotics-based plant fibre characterisation through AI-driven methodologies. It leverages the RAIDO Data Enrichment capabilities and Explainable AI to cut down on plant fibre characterisation and simulation time significantly.

These core RAIDO components are further complemented by the advanced Orchestration,  Benchmarking, Data Lake, Networking Management and Blockchain components, each one forming the key substrate that ensures the seamless workflow of each pilot.

Within the initial phase of rigorous and controlled pilot runs, the RAIDO consortium was able to collect objective evidence via measurements, tests, and stakeholder feedback, and test system outputs for conformity to specified criteria and RAIDO requirements.

Extensive validation performed by NETC and UBI included a live Cognitive Walkthrough exercise in the Athens March 2026 Plenary Meeting, where pilot leaders and end users were requested to define a series of individual, core tasks related to their use case (i.e. “Log in”, “Upload a Data Set”, etc.) and outline their expectations and experiences using the platform. Actions were then evaluated in terms of their success, i.e. whether the desired effects were achieved, whether the correct actions were selected by the users, whether the UI design was intuitive and informative, whether the platform provided enough feedback to the user, and many more. RAIDO technical teams were then able to identify latent usability issues and set a roadmap for the platform’s Second Release.

As the project closes in on its second official Release and enters its final pilot stage, a more comprehensive evaluation of the RAIDO Pilot KPIs is expected. These activities are crucial in order to improve solution reliability and ensure that the project platform achieves the intended operational outcomes.

Stay tuned for more information and pilot results!

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