The RAIDO project is forging a new path toward green, secure and privacy‑centred artificial intelligence by delivering a unified platform that optimises data, models and compute within highly distributed edge‑to‑cloud environments. By blending automated data enrichment, energy‑aware AI techniques and blockchain‑anchored auditability, RAIDO gives developers and organisations precise control, transparency and efficiency when building and deploying AI solutions.
As industries transition to highly distributed, edge‑to‑cloud intelligence, powering applications from personalised healthcare to autonomous factories, sustainability, accountability and data protection become critical. RAIDO meets this challenge with a secure, automated environment where multiple stakeholders can generate, train and deploy AI models collaboratively while guaranteeing ethical and regulatory compliance end‑to‑end.
Green, Trusted, and Future‑Ready
RAIDO tackles today’s AI challenges – data hunger, compute intensity and lack of transparency – through an integrated platform that optimises data, models and compute across the cloud‑edge continuum while embedding ethics, explainability and regulatory compliance by design. Central to this vision is RAIDO’s blockchain infrastructure, which provides the foundational layer for trustworthy AI development and deployment.
RAIDO Blockchain System Architecture
Comprehensive Blockchain Infrastructure
This architecture outlines RAIDO’s comprehensive solution, which includes:
- RAIDO implements a Hyperledger Fabric peer network forming permissioned blockchain regulatory organisations that notarise every training, deployment and inference event, creating immutable, GDPR‑aligned audit logs with complete AI model lifecycle traceability. The platform leverages executable rule-based smart contracts that govern AI model approval processes and determine advancement criteria for green-AI optimisation, while a dedicated RAIDO Regulator & Ordering Service enforces consortium policies and coordinates cross‑organisational consensus.
- NFT-Based Model Certification: RAIDO utilises Non-Fungible Tokens (NFTs) to assign unique identification codes to AI models, generated data, and metadata, with each token containing a unique, non-transferable identity that enables version tracking and ownership management. Decentralised token mechanisms and contemporary security protocols track data and AI model performance certification while granting secure access to platform resources.
- Privacy-Preserving Architecture: The blockchain captures interaction steps between AI model optimisation, data augmentation, and analysis through state-of-the-art distributed learning approaches that preserve sensitive information while ensuring full GDPR compliance. Client applications package model artefacts and publish them to an IPFS‑based object store for content‑addressable integrity and tamper‑evidence, supporting multi-jurisdictional compliance through flexible smart contracts tailored to different regulatory guidelines.
- Real-Time Monitoring & Visualisation: RAIDO’s interactive GUI aggregates on‑chain events and IPFS resources, providing transparent, real‑time visualisation of model lineage, energy metrics and compliance status. This enables continuous monitoring of AI development processes, creating an immutable record of model evolution that supports both regulatory compliance and technical optimisation.
Strategic Relevance
Modern digital value‑chains demand AI that is sustainable, verifiable and aligned with forthcoming EU regulation. RAIDO’s blockchain infrastructure responds with:
- Reducing energy consumption and carbon emissions by 10–15% through energy‑efficient data centres and Green‑AI orchestration, with blockchain providing transparent tracking of environmental impact metrics.
- End‑to‑end auditability of data provenance and model lifecycle on a permissioned blockchain with IPFS support, fulfilling transparency and trust requirements for regulatory compliance.
- Data sovereignty by design, enabling stakeholders to keep sensitive datasets at the edge while participating in federated learning workflows via the flexible edge‑to‑cloud deployment, secured by blockchain protocols.
- Actionable ethics & sustainability metrics, including carbon footprint, bias scores and privacy guarantees, surfacing in real time through RAIDO’s blockchain-anchored visualisation and KPI framework.
The blockchain infrastructure transforms RAIDO from a simple AI development platform into a comprehensive trustworthy AI ecosystem that enables secure, transparent, and compliant AI development across distributed environments while maintaining the highest standards of data privacy and regulatory compliance.
