SciTransfer
Organization

SYNANO BV

Dutch hardware SME bridging edge AI computing and aircraft electrical network architecture across ICT and aerospace research consortia.

Technology SMEdigitalNLSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€308K
Unique partners
35
What they do

Their core work

SYNANO BV is a Dutch technology SME based in Delft that specializes in hardware systems sitting at the boundary between power electronics, data network architecture, and AI-driven design. They contribute specialist engineering expertise to large EU research consortia, with demonstrated work in edge computing infrastructure (hardware acceleration, micro data centers, AI workload execution) and aircraft electrical systems (power distribution networks, intra-aircraft data communication, thermal cooling). Their participation profile suggests they function as a focused technical subcontractor — bringing deep hardware knowledge into projects rather than coordinating broad research programs. The Delft base places them squarely in one of Europe's densest technical ecosystems, adjacent to TU Delft's aerospace and embedded systems research communities.

Core expertise

What they specialise in

Edge computing hardware and AI accelerationprimary
1 project

BRAINE (2020–2023) placed SYNANO in a consortium building AI processing infrastructure at the network edge, covering hardware acceleration, micro data center architecture, and execution monitoring.

Aircraft electrical and data network architectureprimary
1 project

ADENEAS (2021–2024) focused on advanced power distribution and intra-aircraft data communication networks, directly applying SYNANO's electronics and system-architecture expertise to aerospace.

Power electronics and thermal managementsecondary
1 project

ADENEAS keywords include power electronics and cooling solutions, indicating hands-on contribution to thermal and electrical design for demanding embedded environments.

AI-assisted hardware designemerging
1 project

ADENEAS lists AI-based design as a keyword, suggesting SYNANO is beginning to apply machine-learning methods to the design and optimization of electronic hardware systems.

Evolution & trajectory

How they've shifted over time

Early focus
Edge computing and AI hardware
Recent focus
Aerospace power and data networks

SYNANO's first H2020 project (BRAINE, 2020) was squarely in the ICT pillar — edge computing nodes, AI workload acceleration, security, and big data management at the network edge. Their second project (ADENEAS, 2021) applied structurally similar competencies — network architecture, power management, data communication — but transitioned the application domain entirely to aerospace. This is a meaningful pivot: from generic cloud-edge infrastructure toward safety-critical, weight- and power-constrained embedded systems in aircraft. The thread connecting both is hardware systems design under strict constraints, but the sector has shifted from ICT toward transport.

SYNANO appears to be repositioning from general edge computing toward high-reliability embedded systems in aerospace, which points toward future relevance in aircraft electrification, urban air mobility, and safety-critical onboard network design.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

SYNANO has participated exclusively as a consortium partner — never as coordinator — across both projects, both of which were large RIA consortia (35 unique partners, 15 countries). This indicates they operate as a specialist contributor rather than a project driver: they are brought in for specific technical capabilities rather than to manage research programs. For a consortium builder, this means SYNANO is likely a reliable, low-overhead partner that delivers a well-defined technical work package without requiring project management overhead.

SYNANO has worked with 35 distinct consortium partners spanning 15 countries — a notably broad network for an SME with only two projects, suggesting they joined well-connected pan-European consortia. No repeated-partner pattern is detectable from two projects, so their network breadth likely reflects the consortia's reach rather than long-standing bilateral relationships.

Why partner with them

What sets them apart

SYNANO occupies an unusual niche for a small Dutch SME: they have demonstrated technical contributions in both edge AI hardware infrastructure and aircraft electrical network design — two domains that rarely overlap in a single organization at this scale. This dual capability makes them potentially valuable in emerging programs that combine onboard AI processing with aerospace electrification, such as autonomous aircraft systems or electrified regional aviation. Their Delft location embeds them in a dense ecosystem of aerospace engineering (NLR, Fokker, TU Delft spinoffs), which likely amplifies their access to relevant consortia beyond what their funding volume alone would suggest.

Notable projects

Highlights from their portfolio

  • ADENEAS
    The largest single funding award (EUR 224,125) and the project that demonstrates SYNANO's most differentiated capability — aircraft-grade power and data network architecture — placing them at the intersection of aerospace electrification and embedded systems.
  • BRAINE
    Established SYNANO's credentials in edge AI and hardware acceleration within a major ICT Research and Innovation Action, providing the foundational technical profile that likely enabled their entry into the aerospace domain.
Cross-sector capabilities
transportsecurityspace
Analysis note: Profile is based on only two projects (2020–2021 starts), both as participant, with limited descriptive data beyond keywords and titles. The expertise picture is internally consistent but thin — confidence would rise significantly with access to deliverables, publications, or a company website. The sector pivot from ICT to aerospace is real in the data but its strategic intent is unverifiable from this record alone.