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Organization

COMCORES APS

Danish SME specializing in Time Sensitive Networking and hardware-accelerated edge AI for distributed computing systems.

Technology SMEdigitalDKSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
1
Total EC funding
€307K
Unique partners
27
What they do

Their core work

COMCORES APS is a Danish technology SME working at the intersection of networking hardware and distributed computing. Their early work focused on Time Sensitive Networking (TSN) — the IEEE standards that make standard Ethernet deterministic enough for industrial, automotive, and real-time applications. They subsequently moved into the edge computing space, contributing hardware acceleration expertise and micro data center architecture to a large EU research project on running AI and big data workloads at the network edge. Their value proposition is engineering-level knowledge of how specialized hardware — rather than software alone — can make networked edge systems fast, reliable, and secure.

Core expertise

What they specialise in

Time Sensitive Networking (TSN) and industrial Ethernetprimary
1 project

COMCORES coordinated TSNet (2017–2018), an SME feasibility study on TSN technologies for next-generation Ethernet, indicating this is a foundational capability.

Edge computing and AI at the network edgeprimary
1 project

BRAINE (2020–2023) lists Edge Computing and Artificial Intelligence as their core keyword contributions to a large RIA consortium processing big data at the network edge.

Hardware acceleration for compute workloadssecondary
1 project

Hardware acceleration is explicitly listed among COMCORES's keyword contributions in BRAINE, suggesting they bring FPGA or custom silicon expertise to software-heavy consortia.

Micro data center design and managementsecondary
1 project

Micro Data Center appears as a distinct keyword in BRAINE, pointing to their role in designing compact, distributed compute infrastructure for edge deployments.

Security in distributed network systemsemerging
1 project

Security is listed among their BRAINE contributions, likely in the context of securing data flows and execution in edge and micro data center environments.

Evolution & trajectory

How they've shifted over time

Early focus
Time Sensitive Networking, industrial Ethernet
Recent focus
Edge AI, hardware-accelerated distributed computing

COMCORES began their H2020 journey in 2017 with a very specific focus: Time Sensitive Networking, the standards layer that makes Ethernet reliable enough for real-time industrial and automotive applications. That early phase left no broad keyword trail, which is typical of a highly specialized SME doing focused feasibility work. By 2020, their participation in BRAINE shows a decisive expansion into AI-driven big data processing, edge infrastructure, and hardware acceleration — a logical evolution for a networking hardware company as the compute workload moved from the cloud toward the network edge. The through-line is hardware: they moved from deterministic networking hardware to the hardware that makes AI workloads viable at the edge.

COMCORES is moving from pure networking standards work toward becoming a hardware specialist for edge AI infrastructure — a space growing fast as latency constraints push compute out of the cloud.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

COMCORES has both led a small feasibility study (TSNet as coordinator) and joined a large research consortium as a specialist partner (BRAINE). Their one large-consortium experience involved 27 partners across 13 countries, suggesting they are comfortable operating as a focused contributor inside complex, multi-partner projects rather than as a general coordinator. As a small SME, their typical value to a consortium is specific technical depth — networking hardware or edge compute — rather than project management capacity.

COMCORES has engaged with 27 unique partners across 13 countries, primarily through the large BRAINE consortium, giving them a broad but concentrated European network in the digital infrastructure space. There is no evidence of a recurring partner cluster, so their connections are likely consortium-driven rather than long-standing bilateral relationships.

Why partner with them

What sets them apart

COMCORES occupies a rare niche for a two-person-scale SME: they combine low-level networking standards expertise (TSN, deterministic Ethernet) with hardware-side edge computing knowledge — a combination that most software-focused AI and cloud companies lack entirely. In a consortium, they fill the gap between "we need this to run at the edge" and "here is the hardware architecture that makes it actually work." For industrial or automotive partners building real-time networked systems, COMCORES brings standards knowledge that is difficult to find outside of chipmakers and specialized consultancies.

Notable projects

Highlights from their portfolio

  • TSNet
    COMCORES served as coordinator — unusual for a micro-SME — on a TSN feasibility study, demonstrating enough maturity to lead an EU project and commercialize specialized networking technology.
  • BRAINE
    Their largest project by far (€257,325, 2020–2023), placing them inside a major RIA on AI and big data at the network edge alongside a 27-partner consortium spanning 13 countries.
Cross-sector capabilities
Manufacturing and Industry 4.0 (TSN is the standard backbone for industrial automation and smart factory networking)Automotive and transport (TSN is an IEEE standard actively adopted for in-vehicle Ethernet and connected mobility)Security and critical infrastructure (edge computing security contributions in BRAINE are transferable to operational technology environments)
Analysis note: Only 2 projects in the dataset, and the earlier project (TSNet) carries no keyword metadata, making the early-period expertise profile partially inferred from the project title alone. The recent expertise profile is solid, drawn from rich BRAINE keyword data. The expertise evolution narrative is directionally reliable but should be verified against COMCORES's own publications or product descriptions before use in high-stakes matchmaking.