Core contributor across VINEYARD, E2DATA, and EVOLVE — all focused on large-scale data processing architectures.
NEUROCOM LUXEMBOURG SA
Luxembourg SME specializing in high-performance big data platforms, heterogeneous computing, and emerging neuromorphic computing research.
Their core work
NEUROCOM is a Luxembourg-based technology SME specializing in high-performance computing, big data infrastructure, and heterogeneous computing platforms. They build and optimize data processing systems that handle extreme-scale workloads — from accelerator-based data centres to cloud-HPC hybrid testbeds. Their work spans designing energy-efficient computing architectures and enabling big data workflows for sectors like transport, maritime, and automotive. More recently, they have moved into computational neuroscience, applying network analysis techniques to brain research.
What they specialise in
VINEYARD targeted accelerator-based data centres; E2DATA focused on heterogeneous computing with elastic resource provisioning.
EVOLVE built a cloud-enabled testbed combining HPC and cloud for extracting value from diverse data sources.
E2DATA explicitly addressed energy efficiency in extreme-performing big data stacks.
neuronsXnets (2021-2025) applies statistical analysis to brain networks and explores neuromorphic computing — a clear new direction.
How they've shifted over time
NEUROCOM started squarely in high-performance data infrastructure — heterogeneous computing, elastic resource provisioning, and energy-efficient big data stacks (VINEYARD 2016, E2DATA 2018). By 2018-2021, they expanded into applied computing with EVOLVE, targeting sector-specific big data workflows for transport, maritime, and automotive. The most striking shift came in 2021 with neuronsXnets, a MSCA research project on brain network analysis and neuromorphic computing — signaling a move from pure infrastructure toward bio-inspired computing models.
NEUROCOM appears to be transitioning from general-purpose big data infrastructure toward neuromorphic and brain-inspired computing, potentially bridging their HPC expertise with computational neuroscience applications.
How they like to work
NEUROCOM participates exclusively as a partner — never as coordinator — which positions them as a reliable technical contributor that other organizations bring in for computing expertise. With 43 unique partners across 16 countries from just 4 projects, they operate in large, diverse consortia typical of ambitious EU computing infrastructure projects. This breadth of partnerships suggests they are valued for specific technical capabilities rather than project leadership or political positioning.
Despite only 4 projects, NEUROCOM has built a broad European network of 43 partners across 16 countries — an unusually wide reach that reflects the large consortium sizes of their computing infrastructure projects. Their Luxembourg base connects them naturally to both Western and Central European research ecosystems.
What sets them apart
NEUROCOM combines deep big data infrastructure experience with an emerging capability in neuromorphic computing — a rare combination for a small company. Their track record in three successive large-scale computing projects (VINEYARD, E2DATA, EVOLVE) demonstrates sustained expertise in performance-critical data architectures. For consortium builders, they offer hands-on computing platform skills from an SME that has proven it can deliver within large international partnerships.
Highlights from their portfolio
- E2DATATheir largest funded project (EUR 505,625), tackling the ambitious challenge of extreme-performing big data stacks with energy efficiency — a combination with clear commercial relevance.
- neuronsXnetsA sharp pivot from infrastructure to neuroscience research under MSCA-RISE, signaling a strategic expansion into brain-inspired computing that sets them apart from typical IT service companies.
- EVOLVEApplied their computing expertise to real-world sectors (transport, maritime, automotive) through a cloud-HPC hybrid testbed, demonstrating ability to move from theory to domain-specific applications.