SciTransfer
Organization

NEO GLS

French SME building data platforms and intelligent software for connected transport, vehicle data monetization, and C-ITS deployment.

Technology SMEtransportFRSME
H2020 projects
5
As coordinator
0
Total EC funding
€1.7M
Unique partners
124
What they do

Their core work

NEO GLS is a French technology SME specializing in intelligent transport systems, connected mobility, and vehicle data platforms. They build software infrastructure for logistics data exchange, cooperative intelligent transport systems (C-ITS), and car data monetization pipelines. Their work focuses on making mobility data interoperable, queryable, and commercially viable — bridging the gap between raw vehicle and traffic data and usable digital services for the transport sector.

Core expertise

What they specialise in

Car data monetization and MEC servicesemerging
1 project

5GMETA focuses specifically on monetizing car and mobility data through multi-access edge computing services and data licensing.

Distributed traffic and mobility managementsecondary
2 projects

DIT4TraM applies machine learning to distributed traffic control; C-MobILE addresses mobility service deployment across Europe.

Machine learning for transportemerging
1 project

DIT4TraM explicitly applies machine learning to demand management and mobility services.

Evolution & trajectory

How they've shifted over time

Early focus
Transport infrastructure integration
Recent focus
Mobility data platforms and AI

NEO GLS started in 2016–2017 with infrastructure-level transport projects — logistics data exchange (AEOLIX), level crossing safety (SAFER-LC), and C-ITS deployment (C-MobILE). These were large-scale system integration efforts. From 2020 onward, their focus shifted decisively toward data-centric mobility: car data monetization, data licensing, edge computing services, and machine learning for traffic management. The trajectory shows a company moving from transport infrastructure integration toward intelligent data platforms and AI-driven mobility services.

NEO GLS is moving from traditional transport IT toward data monetization and AI-driven mobility, making them increasingly relevant for smart city and MaaS (Mobility-as-a-Service) initiatives.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European22 countries collaborated

NEO GLS operates exclusively as a participant — they have never coordinated an H2020 project but consistently contribute technical components within large consortia. With 124 unique partners across 22 countries, they are well-networked and comfortable working in diverse, multinational teams. Their repeat presence in transport consortia suggests they are a trusted specialist that coordinators actively recruit for their data and software expertise.

NEO GLS has collaborated with 124 unique partners across 22 countries, indicating a broad European network built through large transport consortia. Their partnerships span Western and Eastern Europe with no narrow geographic concentration.

Why partner with them

What sets them apart

NEO GLS sits at the intersection of transport systems and data platform engineering — a combination that is increasingly in demand as vehicles become data sources. Unlike pure software companies, they understand the transport domain deeply; unlike transport operators, they bring real software development capability for data pipelines, APIs, and edge computing. For consortium builders, they fill the specific niche of making mobility data usable and commercially exploitable.

Notable projects

Highlights from their portfolio

  • 5GMETA
    Directly addresses car data monetization — a commercially forward topic combining 5G edge computing, data licensing, and new business models for mobility data.
  • C-MobILE
    Largest project by funding (EUR 529,751) focused on accelerating C-ITS deployment across multiple European cities.
  • AEOLIX
    Their first and highest-funded H2020 project (EUR 546,375), building the architecture for pan-European logistics data exchange.
Cross-sector capabilities
Digital platforms and data servicesSmart city infrastructureLogistics and supply chain IT5G and edge computing applications
Analysis note: Profile is based on 5 projects with limited keyword data for earlier projects (2016-2019). The evolution analysis relies heavily on project titles for the early period and explicit keywords only for post-2020 projects. No website available for cross-verification. Confidence is moderate — enough projects to identify a clear transport-to-data trajectory, but early-period expertise is inferred from project titles rather than detailed keyword data.