Reliable AI and Data Optimisation
The RAIDO (Reliable AI and Data Optimisation) project aims to develop a unified framework for trustworthy and energy-efficient artificial intelligence. The project combines advanced data processing, AI model optimisation and digital technologies to improve the reliability, transparency and sustainability of AI systems, particularly in sectors where accuracy, fairness and security are essential.
RAIDO develops tools for automated data curation and enrichment, synthetic data generation, explainable AI and energy-efficient model training and deployment. It also uses blockchain technologies and intelligent orchestration to support transparent processes and reduce the environmental impact of AI. The framework is being evaluated through four real-world pilots in energy, agriculture, healthcare and robotics, demonstrating how trustworthy and green AI solutions can address practical challenges across different sectors.
MetaMind Innovations (MINDS) plays a key role in the technical development and dissemination of the RAIDO project. As leader of WP5 – Energy-efficient E2C Deployment and Green AI Orchestration, MINDS coordinates activities focused on optimising AI processes and supporting energy-efficient model training and deployment.
MINDS also leads Task 3.1, developing data enrichment, curation and distillation methods to improve the quality of datasets used for AI training, alongside a federated data mining pipeline. Under Task 5.4, the company leads the development of blockchain and smart contract solutions with IPFS support, helping improve the transparency, traceability and monitoring of AI data and model optimisation processes.
In addition, MINDS leads Task 1.5 – Communication, Dissemination & Clustering Activities, coordinating the project’s communication channels, promoting research results and supporting collaboration with other European initiatives. Through these contributions, MINDS supports both the technical development of trustworthy and green AI solutions and the wider dissemination of RAIDO’s results.
