Technical Approach

Artificial Intelligence of Things (AIoT) is one of the next big concepts to support societal changes and economic growth, being one of the fastest growing ICT segments. A specific challenge is to leverage existing technology strengths to develop solutions that sustain the European industry and values.

ΝΕΜΟ establishes itself as the gamechanger of the AIoT-edge-cloud continuum by introducing an open source, modular and cybersecure meta-operating system, leveraging on existing technologies and introducing novel concepts, methods, tools, testing and engagement campaigns. NEMO will bring intelligence closer to the data and make AI-as-a-Service an integral part of network self-organisation and micro-services execution orchestration. Its widespread penetration and massive acceptance will be achieved via new technology, pre-commercial exploitation components and liaison with open-source communities.

In a nutshell

  • Next Generation meta Operating System (mOS)
    • high availability, openness, adaptability and flexibility, 
    • development and deployment simplicity, 
    • optimized to IoT-to-Edge-to-Cloud continuum
  • Federated meta Network Cluster Controller  (mNCC)
    • Network management for existing/emerging IoT/5G/6G technologies 
    • offering time-triggered multipath/multitenant/multi-cloud clusters
    • supporting zero-delay failback/self-healing “by design”
  • “by-design” Secure Execution Environment(SEE)
    • Transparent sandbox creation 
    • secure micro-services
    • unikernels (remote) execution
  • meta-Orchestrator
    • optimal cluster construction
    • micro-services scheduling/ migration
    • respecting policies and KPIs, including significant reduction of the energy consumption and the CO2 footprint
  • ZeroOps Management Tools
    • Plugin & Applications Life-Cycle Manager for over the air and on-time deployment 
    • Monetization and Consensus-based Accounting (MOCA) towards flexible business models and pre-commercial exploitation
    • Intent Migration as a Service to automate manual processes and full-stack configurations
  • Cybersecurity and policy/privacy at every stage of the mOS and during migration of micro-services.
    • Decentralized, cybersecure FML/DRL for IoT node decision or autonomous operations
    • CF-DRL against cyber-attacks
    • PRESS & policy compliance 
    • Cybersecurity and unified/federated Access control

Expected R&I Results


  • mOS Architecture 
  • On-device federated MLOps and TL via CF-DRL as core part of mOS
  • SLO based meta-Orchestrator
  • Federated micro-services//unikernels SEE
  • Micro-service sovereignty
  • Intent-based migration SDK
  • Cybersecurity vertical


  • Federated mNCC offering self-configured/-healing clusters
  • Network Control and management IoT/5G/B5G adapters  
  • IoT/5G Time Sensitive Networking (TSN)
  • Policies for optimal micro-services/unikernels migration
  • Plugins Lifecycle Manager
  • Monetization and Accountability (MOCA)
  • Policy Enforcement vertical