This area is focused on developing intelligent, secure, and efficient next-generation telecommunication networks. Our work spearheads the adoption of new 5G and 6G technologies by leveraging AI/ML and advanced orchestration techniques to optimise network performance and resilience from the core to the edge. We actively explore and integrate these technologies in Proofs-of-Concept (PoCs) to validate their real-world viability.
Next-generation networks are the backbone of the digital economy and society, enabling everything from the metaverse and autonomous vehicles to remote surgery and smart cities. Achieving high performance, low latency, and robust security is critical. The seamless integration of terrestrial and non-terrestrial networks (NTN) is a cornerstone for the development of smart networks and services based on 5G and 6G. This requires significant innovation in network design and management, particularly through softwarisation and virtualisation, to handle complex connectivity needs.
The landscape is moving towards cloud-native architectures and AI-driven network operations. A primary trend is the development of advanced NTN components for integration into future 6G terrestrial networks. Future opportunities lie in enhancing network workload forecasting with multivariate AI models, leveraging Generative AI for sophisticated, real-time security, and building scalable MLOps frameworks for integrated Telco Cloud and Edge environments
Martel is at the forefront of research and innovation in next-generation telecommunications.
This area focuses on applying cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) to solve real-world problems, with a special emphasis on Generative AI. Our work centres on practical implementations in domains like Telecommunications, Cloud Computing, and Robotics. Key applications include developing navigation and robotics applications and fine-tuning domain-specific Large Language Models (LLMs) for highly targeted use cases.
AI is a transformative technology essential for driving innovation and efficiency. Fine-tuning LLMs allows for the creation of highly specialised tools that can, for example, predict and explain potential security weaknesses in software development or enhance network threat detection. In robotics, advanced AI algorithms are crucial for developing navigation and manipulation capabilities for applications in healthcare, mobility, and construction.
The landscape is rapidly moving towards more integrated and specialised AI. A key trend is the use of Generative AI for sophisticated diagnostics, personalisation, and security applications. The future will see more advanced software engineering practices for human-AI collaboration and the creation of “AI factories” that leverage high-performance computing. There is also a strong focus on fine-tuning domain-specific LLMs and scaling AI-enrichment for data curation.
Martel provides multi-domain AI expertise, contributing transferable models and pipelines.
This focus area involves providing robust security and data protection solutions across the digital landscape, from the cloud to the IoT edge. Our approach is centred on implementing Zero-Trust architectures for Cloud and IoT and developing Secure Data Management Frameworks. We focus on policy enforcement, secure operations, and proactive threat analysis to build resilient and trustworthy systems
As digital systems become more interconnected and decentralised, traditional perimeter-based security is no longer adequate. Zero-Trust principles, where trust is never assumed, are essential for securing modern cloud and IoT environments. Secure Data Management Frameworks are crucial for enabling data-sharing alliances where data sovereignty and local policy enforcement are paramount. These measures are vital for complying with evolving norms like GDPR and the EU Cyber Resilience Act (CRA).
The cybersecurity landscape is shifting towards proactive, policy-driven, and AI-enhanced security models. A key trend is the development of portable, platform-agnostic data protection rules that can be deployed from edge devices to hyperscale clouds. Future work will focus on tailoring Zero-Trust architectures for complex IoT ecosystems, developing AI-enhanced vulnerability detection techniques, and exploring advanced cryptographic methods like homomorphic encryption for secure data management.
Martel provides deep expertise in designing and implementing advanced cybersecurity and data protection solutions.
This focus area is dedicated to empowering cities to become more sustainable, efficient, and citizen-centric through open, data-driven digital solutions. Our work is centred on developing and promoting energy efficiency and circular economy models, with our open-source Orchestra Cities platform serving as a core technological enabler.
Cities are at the centre of global sustainability challenges. Digital solutions are crucial for tackling complex urban issues like mobility management, pollution, waste management, and energy consumption. Open, standards-based platforms are essential for avoiding vendor lock-in, enabling interoperability between different systems, and allowing municipalities to build vendor-neutral digital twins. Furthermore, focusing on social acceptance and citizen engagement ensures that technical deployments deliver measurable impact and are embraced by the community
The Smart City landscape is moving towards the creation of sophisticated Digital Twins for urban planning and real-time management. There is a growing emphasis on supporting the Green and Digital Transformation of the European Union to enhance energy efficiency and enable circular economy models. Future work will also focus on enhancing citizen-centric data platforms to foster greater engagement and transparency.
Martel, in synergy with Digital for Planet, provides both the technology and the methodology for sustainable urban transformation.
