Core contributor across WON, MENTOR, B5G-OPEN, and SAFARI — all focused on expanding optical network capacity through wideband and multi-band fiber technologies.
INFINERA UNIPESSOAL LDA
Optical networking equipment specialist contributing wideband transmission hardware and AI-driven network management expertise to European research consortia.
Their core work
Infinera Portugal is the Portuguese subsidiary of Infinera Corporation, a global manufacturer of optical networking equipment. Within H2020 projects, they contribute industry expertise in optical transmission systems, wideband amplification, and network hardware. Their role centers on providing real-world optical infrastructure knowledge and optoelectronic components to research consortia developing next-generation fiber networks. They bridge the gap between academic optical network research and commercial deployment, particularly in multi-band transmission and AI-driven network management.
What they specialise in
B5G-OPEN targets smart AI/ML control planes and MENTOR focuses specifically on machine learning in optical networks, both starting from 2021.
METRO-HAUL addressed 5G-ready metropolitan optical networks with edge compute, while B5G-OPEN pushes beyond 5G with open optical architectures.
REAL-NET focused on real-time monitoring and nonlinear effect mitigation, complemented by digital signal processing work in WON.
WON explicitly lists optoelectronic components; SAFARI addressed reconfigurable optical infrastructure; B5G-OPEN involves packet-opto white boxes — all pointing to hardware-level contributions.
How they've shifted over time
Their early H2020 involvement (2014–2019) focused on physical-layer optical technologies: reconfigurable infrastructure (SAFARI), metro-scale 5G networks (METRO-HAUL), and wideband transmission with digital signal processing (WON). From 2021 onward, a clear shift emerges toward intelligence-driven networking — machine learning for optical networks (MENTOR), AI-based control planes, and multi-band open architectures (B5G-OPEN). The trajectory moves from "build better optical hardware" to "make optical networks self-managing through AI."
Infinera Portugal is moving decisively toward AI/ML-automated optical networks, making them a strong partner for projects combining photonics with intelligent network orchestration.
How they like to work
Infinera Portugal operates exclusively as a participant or third party — never as a coordinator. This is consistent with their role as an industry partner contributing commercial optical networking expertise to research-led consortia. With 41 unique partners across 10 countries in just 6 projects, they work in large, diverse consortia and appear comfortable integrating into multi-partner research environments rather than leading them.
They have collaborated with 41 distinct partners across 10 countries, indicating broad European reach for a company with only 6 H2020 projects. Their network is anchored in the European optical networking research community, spanning universities, research institutes, and telecom equipment makers.
What sets them apart
As a subsidiary of a major optical equipment manufacturer, Infinera Portugal brings something most academic partners cannot: direct knowledge of what works in deployed commercial networks. Their participation ensures research outcomes are tested against industrial reality, not just simulated. For consortium builders, they offer a credible industry validation partner with deep expertise in both the hardware (optoelectronic components, white boxes) and the emerging software layer (AI/ML control) of optical networks.
Highlights from their portfolio
- B5G-OPENTheir largest funded project (EUR 300,000), combining multi-band optics with AI control planes — represents their most complete expression of hardware-meets-AI expertise.
- MENTORDedicated entirely to machine learning in optical networks, signaling Infinera's strategic commitment to AI-driven network automation.
- METRO-HAULEarly and well-funded (EUR 227,500) project connecting optical networking to 5G metro infrastructure with edge computing — a commercially high-impact topic.