In DUET (2019-2022), they contributed to building Digital Urban European Twins combining traffic, pollution, noise, and 3D city data for policy decision support.
virtualcitySYSTEMS GmbH
Berlin SME specialising in 3D urban digital twins, GIS platforms, and city data analytics for planning and environmental simulation.
Their core work
virtualcitySYSTEMS is a Berlin-based technology SME that builds software platforms for 3D city modeling, geospatial data integration, and urban digital twins. Their core product line enables municipalities and planning agencies to create detailed virtual representations of cities — combining traffic flows, pollution and noise data, building geometries, and infrastructure into a single queryable model. In EU research projects, they contribute software development, GIS expertise, and platform architecture that allows city data to be linked, analyzed at scale using HPC, and made accessible to urban planners and citizens through co-creation interfaces. Their work sits at the junction of spatial data infrastructure and urban policy simulation.
What they specialise in
DUET keywords include 3D, geospatial data, GIS, and linked open data — consistent with their commercial 3D city modeling product line.
Both ESPRESSO (smart city standardisation) and DUET (smart city digital twins) address the technical infrastructure layer of smart urban systems.
DUET explicitly covers traffic, pollution and noise modelling as use cases for the digital twin platform they helped develop.
DUET involved big data, analytics, and HPC — indicating capacity to process and query large-scale urban datasets, not just visualise them.
How they've shifted over time
Their earliest H2020 participation (ESPRESSO, 2016-2017) focused on smart city standardisation — a policy and interoperability layer with no specific technical keywords surviving in the data. By 2019, with DUET, their work shifted to applied implementation: building actual digital twin infrastructure backed by HPC, linked open data, and multi-domain urban simulation. The progression is from standards-setting to technical execution — from defining what smart cities should share, to building the platforms that make sharing and simulation real.
They are moving deeper into HPC-backed urban simulation and open data architectures — the technical heavy end of the digital twin space, where few SMEs can operate.
How they like to work
virtualcitySYSTEMS has participated exclusively as a consortium partner, never as coordinator, across both projects. Despite only two projects, they have accumulated 30 unique partners across 10 countries — indicating they join large, multi-national consortia rather than small focused teams. This pattern suggests they are brought in as a specialised technical contributor for their software platform, not as a project driver.
Thirty unique consortium partners across 10 countries from just two projects indicates consistent involvement in large, pan-European consortia. No geographic concentration is visible in the data, suggesting they join whichever consortium needs their specific geospatial and digital twin tooling.
What sets them apart
virtualcitySYSTEMS occupies a niche that most research partners cannot fill: commercial-grade 3D city modeling software brought into academic and innovation consortia. Where most SMEs in smart city projects offer consultancy or integration work, this company contributes an actual software product — the VC Suite — giving them tangible technical leverage in any urban digital twin or city data infrastructure project. For a consortium needing GIS platform depth without building it from scratch, they are a ready-made technical backbone.
Highlights from their portfolio
- DUETTheir most technically ambitious project — largest budget (EUR 223,562), running 2019-2022, and the source of virtually all their documented H2020 expertise in digital twins, HPC urban simulation, and linked open data.
- ESPRESSOEarlier smart city standardisation project (2016-2017) showing engagement at the policy and interoperability layer before pivoting to applied digital twin platforms.