Quantum Computing
We research quantum algorithms and applications for the use cases where they can give a real advantage (optimization, simulation, cryptography).
Quantum Computing, Blockchain, IoT, Robotics, Energy & Climate — towards Industry 4.0 and 5.0
Our R&D team continuously explores emerging technologies and builds prototypes and proof-of-concepts to validate them in the real world. We work within the frameworks of Industry 4.0 — automation, connectivity and data-driven manufacturing — and Industry 5.0, which puts people, sustainability and resilience back at the centre.
We research quantum algorithms and applications for the use cases where they can give a real advantage (optimization, simulation, cryptography).
We explore innovative applications of blockchain, cryptocurrencies, and NFTs beyond the hype, focusing on real-world utility.
We develop connected device ecosystems, digital twins and IoT platforms for real-time monitoring and intelligent automation — the pillars of the connected factory and Industry 4.0.
We design advanced robotic systems based on ROS and collaborative automation solutions. In an Industry 5.0 perspective, technology adapts to the human operator — not the other way around.
We research renewable energy technologies, climate monitoring and sustainable transition — the third pillar of Industry 5.0 alongside human-centricity and resilience.
We research and develop quantum algorithms for optimization, simulation, and cryptography that will leverage the power of quantum computers.
We design and implement secure, efficient smart contracts for various blockchain platforms to enable trustless automation.
We design scalable IoT platforms and digital twins that connect physical devices to their virtual models, enabling predictive simulation and intelligent decision-making.
We develop edge computing solutions that process data closer to its source, reducing latency and bandwidth usage for IoT applications.
We develop autonomous robotic systems with advanced perception, navigation, and decision-making capabilities to operate in complex environments.
We create intuitive and safe interfaces for human-robot collaboration — cobots and adaptive systems that put the operator at the centre, as envisioned by the Industry 5.0 paradigm.
We design innovative systems for renewable energy generation, storage, and management, contributing to sustainable energy transition.
We develop advanced technologies for environmental monitoring and climate data analysis, supporting effective adaptation and mitigation strategies.
At noze, we believe that keeping an active research practice is essential for long-term success. Our R&D team combines scientific method with business pragmatism to explore emerging technologies and develop solutions that address real-world challenges.
Our R&D activities include:
Our R&D team works closely with our clients to understand their long-term challenges and opportunities, and to develop innovative solutions that give them a competitive edge in their respective industries.
We have active partnerships with various academic institutions and research centers. We participate in joint research projects, share resources and expertise, host students for internships and theses, and collaborate on scientific publications. These collaborations keep us in step with research on emerging technologies.
We take a flexible approach to intellectual property. For proprietary projects, we implement rigorous procedures for patent protection and know-how. For Open Source projects, we actively contribute to the community while maintaining transparency and code sharing. In all cases, we clearly define intellectual property rights at the start of each collaboration.
We focus on several emerging technology areas within the Industry 4.0 and 5.0 context: quantum computing for complex optimization problems, blockchain and smart contracts for secure automation, IoT, digital twins and edge computing for the connected factory, collaborative robotics and human-machine interaction, renewable energy technologies, sustainability and climate monitoring. We maintain a strong focus on security, scalability and human-centricity.
Our technology transfer process includes: validation of research results, development of proof-of-concept prototypes, testing with pilot users, optimization for scalability and performance, and continuous support during implementation. We work closely with development and business teams to ensure an effective transition.
Timelines vary significantly based on complexity and technology maturity. Basic research projects can take 1-2 years, while prototype development may require 3-6 months. We adopt an agile approach with regular milestones to ensure steady progress and the ability to adapt to new discoveries or requirements.
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