SciTransfer
Organization

SOFTWARE RADIO SYSTEMS LIMITED

Irish SME building software-defined radio and AI-driven network automation solutions for 5G and beyond-5G mobile infrastructure.

Technology SMEdigitalIESMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€1.3M
Unique partners
58
What they do

Their core work

Software Radio Systems (SRS) is an Irish SME specializing in software-defined radio and 5G network technology. They develop software solutions for mobile network infrastructure, focusing on areas such as RAN (Radio Access Network) disaggregation, edge computing, and AI-driven network automation. Their work spans building and validating 5G end-to-end platforms, deploying AI at the network edge, and enabling zero-touch network management through machine learning. They contribute critical radio software components to large-scale EU research consortia tackling next-generation mobile connectivity.

Core expertise

What they specialise in

5G network infrastructure and testingprimary
3 projects

All three projects (5G-VINNI, DAEMON, AIatEDGE) involve 5G network deployment, performance evaluation, or beyond-5G architecture.

Software-defined radio / disaggregated RANprimary
2 projects

Company name indicates core SDR capability; AIatEDGE explicitly addresses disaggregated RAN and multi-connectivity.

Mobile edge computingsecondary
1 project

AIatEDGE centers on a reusable AI platform for edge computing in beyond-5G networks.

Network performance benchmarkingsecondary
1 project

5G-VINNI focused on KPI benchmarking and performance evaluation of 5G end-to-end facilities.

Evolution & trajectory

How they've shifted over time

Early focus
5G infrastructure validation
Recent focus
AI-driven network intelligence

SRS entered H2020 through 5G-VINNI (2018), focused on building and benchmarking 5G end-to-end test infrastructure — essentially proving that 5G works. By 2021, their focus shifted decisively toward intelligence: both DAEMON and AIatEDGE apply AI and machine learning to make networks self-managing, from zero-touch automation to edge-deployed AI platforms. The trajectory is clear — from "build the 5G pipe" to "make the pipe smart."

SRS is moving toward AI-native network management, positioning themselves at the intersection of software radio and machine learning for autonomous beyond-5G systems.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

SRS operates exclusively as a participant, never as coordinator, which is typical for a specialized technology SME contributing deep technical components to larger research efforts. With 58 unique partners across just 3 projects, they work in large consortia (averaging ~19 partners per project), indicating comfort in complex multi-party collaborations. Their broad partner base suggests they are a sought-after specialist rather than a locked-in partner of a small circle.

SRS has collaborated with 58 unique partners across 15 countries through only 3 projects, reflecting participation in large, pan-European 5G consortia. Their network spans a wide geographic footprint relative to their project count, indicating strong connectivity within the European telecoms research ecosystem.

Why partner with them

What sets them apart

SRS brings a rare combination: they are a small, agile company producing real software-defined radio implementations — not just research papers. In consortia dominated by large telcos and universities, an SME that delivers working RAN software components is a valuable and differentiated partner. Their transition into AI-driven network management means they can now offer both the radio layer and the intelligence layer, making them a compact but complete 5G solution contributor.

Notable projects

Highlights from their portfolio

  • 5G-VINNI
    Largest single funding (€589K) and SRS's entry into H2020 — a flagship 5G infrastructure validation project that established their credibility in the European 5G ecosystem.
  • AIatEDGE
    Represents SRS's strategic pivot, combining their radio expertise with AI at the network edge, addressing disaggregated RAN and serverless platforms for beyond-5G.
Cross-sector capabilities
Transport (connected vehicles, V2X communication requiring 5G infrastructure)Manufacturing (Industry 4.0 private 5G networks, ultra-reliable low-latency communication)Health (remote surgery and telemedicine requiring edge computing and low-latency 5G)Security (ML-based network security, anomaly detection in mobile networks)
Analysis note: Profile based on only 3 projects, all as participant. The company name and keyword data strongly suggest SDR product development, but without website data or coordinator roles, the depth of their independent product portfolio cannot be fully confirmed from H2020 data alone.