SciTransfer
Organization

PANTEIA BV

Dutch transport research SME specializing in freight data analytics, inland waterways, multimodal logistics, and socio-economic impact assessment for EU policy.

Innovation consultancytransportNLSME
H2020 projects
8
As coordinator
0
Total EC funding
€2.3M
Unique partners
193
What they do

Their core work

Panteia is a Dutch research and consultancy SME specializing in transport economics, logistics policy, and data-driven analysis of freight and passenger mobility systems. They provide socio-economic research, big data analytics, and simulation modelling to inform European transport policy and operations. Their work spans road freight, inland waterways, rail logistics, and multimodal transport networks, with a consistent focus on turning transport data into actionable insights for both public and private decision-makers.

Core expertise

What they specialise in

Transport data analytics and big dataprimary
4 projects

Core contributor in LeMO (big data for transport operations), TANGENT (data processing for multimodal traffic), NOVELOG (city logistics modelling), and PLANET (TEN-T network modelling).

2 projects

Participated in both Prominent (inland waterway sector innovation) and NOVIMOVE (novel inland waterway freight concepts including smart vessels and port feeders).

Rail and intermodal freight logisticssecondary
2 projects

Smart-Rail (their largest funded project at EUR 638K) focused on rail freight services, and PLANET addressed synchromodality and logistics system integration.

Socio-economic impact assessment of transportsecondary
3 projects

LeMO explicitly listed socio-economic science as a keyword, and projects like NOVELOG and PIONEERS address economic and environmental dimensions of transport.

Port and maritime logistics optimizationemerging
2 projects

PIONEERS focuses on port efficiency and emissions reduction, while NOVIMOVE covers port feeder systems and smart bridge/locks scheduling.

Evolution & trajectory

How they've shifted over time

Early focus
Transport research and big data
Recent focus
Digital multimodal logistics systems

In their early H2020 period (2015–2018), Panteia focused on broad transport topics — rail freight optimization (Smart-Rail), city logistics (NOVELOG), inland waterways (Prominent), and the emergence of big data applications in transport (LeMO). From 2020 onward, their work shifted decisively toward digital and connected transport systems: blockchain for logistics, TEN-T network modelling, synchromodality, smart vessel technologies, connected/automated vehicles (CAVs), and real-time data processing. The evolution shows a clear move from traditional transport research toward digitized, data-intensive logistics infrastructure.

Panteia is moving toward smart, connected logistics — expect future work in AI-driven transport management, digital twins for freight networks, and green port operations.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European24 countries collaborated

Panteia operates exclusively as a consortium participant — they have never coordinated an H2020 project, which is typical for a consultancy SME that contributes analytical expertise rather than leading large research agendas. With 193 unique partners across 24 countries in just 8 projects, they work in large consortia and maintain an exceptionally broad network rather than repeating with the same partners. This makes them an easy, low-risk addition to any transport consortium — they know how EU projects work and bring a reliable analytical contribution without competing for leadership.

With 193 unique consortium partners across 24 countries from just 8 projects, Panteia has one of the broadest per-project networks possible — averaging 24 different partners per project. Their reach spans all of Europe with no obvious geographic concentration beyond their Dutch base.

Why partner with them

What sets them apart

Panteia bridges the gap between raw transport data and policy-relevant or business-relevant insight — they are not a technology developer but an applied research house that understands what transport data means economically and operationally. Their combination of inland waterway expertise, multimodal freight analysis, and big data capabilities is uncommon for an SME. For consortium builders, they offer a reliable Dutch partner with deep experience in transport economics who can handle impact assessment, data analysis, and socio-economic evaluation workpackages.

Notable projects

Highlights from their portfolio

  • Smart-Rail
    Their largest H2020 contribution (EUR 638K) — focused on smart rail freight services, representing their biggest financial stake in any single project.
  • PLANET
    Addresses global trade network integration with TEN-T corridors using blockchain and physical internet concepts — their most forward-looking project combining geopolitics with logistics technology.
  • LeMO
    A foundational project for their data analytics pivot — explicitly connecting big data, open data, and socio-economic science to transport operations management.
Cross-sector capabilities
Logistics and supply chain managementData analytics and socio-economic researchSmart cities and urban mobilityMaritime and port operations
Analysis note: Strong profile with 8 projects providing good coverage. Keywords are missing for the three earliest projects (Smart-Rail, Prominent, NOVELOG), so the early-period characterization relies partly on project titles. The consistent transport-only focus makes the expertise profile clear despite some data gaps.