Post-quantum security · European R&D
uPQComing
Preparing Europe for the post-quantum era.
A European research programme developing resilient, interoperable security for critical digital systems as quantum computing advances.
Pertimm research
Since 2017, Pertimm has explored advanced AI through multilingual language and voice technologies, machine learning and collaborative European R&D. Today this work extends to Physical AI, trusted and sovereign systems, and post-quantum security for strategic digital infrastructure.
Pertimm is a leading European research partner for novel applications of AI, NLP, LLMs and big data.
Research timeline
One continuous line, from multilingual voice and language technologies to intelligent mobility, Physical AI and post-quantum security.
Collaborative research
Flagship European programmes in post-quantum security and Physical AI.
Post-quantum security · European R&D
Preparing Europe for the post-quantum era.
A European research programme developing resilient, interoperable security for critical digital systems as quantum computing advances.
Physical AI · European R&D
Building AI for the physical world.
A European programme advancing human-inspired machine intelligence that can perceive, reason and interact with real-world systems safely and reliably.
AI research heritage
Our European programmes trace the path from multilingual AI to intelligent mobility, and on to today’s Physical AI and post-quantum research.
2017–2019 Multilingual AI / NLP
Privacy-conscious multilingual voice and natural-language technologies for conversational systems that were faster and more cost-effective to deploy.
Explore the project (VOQAL on CORDIS, opens in a new tab)2023–2026 AI for electric mobility
OPtimization of Electric Vehicle Autonomy
European research into electric-vehicle autonomy, using vehicle and external data to improve energy management, range prediction and charging decisions.
As project coordinator and co-sponsor of OPEVA, Pertimm leads a Europe-wide consortium of 35 partners from nine European countries to increase the autonomy of electric vehicles by addressing both adoption challenges and overall optimisation opportunities across the entire EV ecosystem. The project explores technology solutions that address the value chain of electric mobility (Tier-1 and Tier-2 suppliers, OEMs and technology providers), including cost, charging capabilities, and the range and duration needs of the mobility experience.
Explore the project (OPEVA on CORDIS, opens in a new tab)Collaborative programmes
Multilingual AI and electric mobility: VOQAL focused on conversational voice and language technologies, OPEVA on electric-vehicle autonomy and efficiency. Both are part of a longer trajectory of applied research.
Additional research themes
Agentic design methods, multi-sensor processing and hardware security: the computing foundations of dependable AI.
AI · Design space exploration
Agentic AI for hardware-software co-design.
Programme focus
Agentic methods to explore complex design choices and connect AI research to advanced computing.
Semiconductors · AI
Multi-sensor architectures and AI processing.
Programme focus
Combining information from multiple sensors to support more contextual, efficient AI processing.
RISC-V · Hardware security
Secure processing for next-generation chips.
Programme focus
Exploring hardware security and processing architectures for dependable digital systems.
Research with purpose
Our research direction connects language intelligence, advanced computing and secure architectures to the needs of real organisations.
Explore applied AINLP, specialised language models, retrieval and explainable knowledge systems.
Hardware-software co-design, multi-sensor processing and robust architectures.
Shared evaluation, interdisciplinary expertise and pathways to deployment.
Public research


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