SciTransfer
Organization

FLUIDTIME DATA SERVICES GMBH

Austrian SME delivering real-time mobility data software and intermodal journey planning systems for public transport research consortia.

Technology SMEtransportATSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€619K
Unique partners
29
What they do

Their core work

Fluidtime Data Services is a Vienna-based SME specializing in real-time mobility data, passenger information systems, and journey planning software for public transport. Their participation in OPTIMUM points to expertise in fusing data from multiple sources — sensors, transit feeds, user devices — into actionable intelligence for travelers and operators. In BONVOYAGE they contributed to intermodal routing and interfaces connecting people and freight across transport modes. Their commercial product line likely includes transit apps, real-time departure boards, and mobility APIs sold to transport operators and municipalities.

Core expertise

What they specialise in

Real-time passenger information systemsprimary
2 projects

Both OPTIMUM and BONVOYAGE involve delivering timely, usable mobility data to end users across multimodal transport networks.

Multi-source mobility data fusionprimary
1 project

OPTIMUM explicitly targets big data fusion from multiple sources to drive proactive, intelligent mobility decisions.

Intermodal journey planning interfacesprimary
1 project

BONVOYAGE focused on intermodal solutions and interfaces for both people and goods across European corridors.

Mobility software and APIssecondary
2 projects

As a data services SME contributing to interface and integration tasks in both projects, software delivery is a core commercial capability.

Evolution & trajectory

How they've shifted over time

Early focus
Intelligent mobility data services
Recent focus
Intelligent mobility data services

Fluidtime's entire H2020 record spans a single 2015 cohort, with both projects running 2015–2018, making a meaningful early-versus-recent evolution impossible to trace from this data alone. Within that single wave, they worked across two complementary angles: data-layer intelligence (OPTIMUM) and end-user interface and intermodal experience (BONVOYAGE), suggesting a deliberate coverage of both back-end and front-end mobility challenges. Whether they have since moved toward MaaS platforms, autonomous vehicle data, or urban mobility-as-a-service is unknown from H2020 records alone.

No shift is detectable within H2020 data; a prospective partner should check Fluidtime's current commercial portfolio directly, as the company has likely evolved toward MaaS or urban data platforms since 2018.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

Fluidtime participates exclusively as a consortium member, never as coordinator, suggesting they prefer to contribute focused technical expertise rather than carry project management overhead. With 29 unique partners across just 2 projects, they have operated inside large, diverse consortia — typical for transport RIA projects that assemble cities, operators, tech providers, and researchers together. This makes them experienced at working within complex multi-actor projects without needing to drive them.

Fluidtime has built connections with 29 distinct partners across 13 countries through only 2 projects, indicating broad European exposure concentrated in the 2015–2018 transport research wave. No geographic clustering is evident from the available data, but transport RIA consortia of this era typically included partners from Western and Northern Europe.

Why partner with them

What sets them apart

Fluidtime occupies a niche as a commercial data services SME — not a university, not a transit operator — that brings production-grade mobility software into research consortia. This means they can translate research outputs into deployable passenger-facing systems, which is genuinely rare in academic transport projects. For a consortium that needs a technology bridge between research prototypes and real transit environments, they are a practical choice.

Notable projects

Highlights from their portfolio

  • OPTIMUM
    Largest budget of the two (EUR 341,000) and the most technically ambitious, targeting big data fusion across heterogeneous mobility sources to enable proactive travel intelligence.
  • BONVOYAGE
    Addressed the full intermodal chain from Bilbao to Oslo, combining passenger and freight perspectives — a broad scope that signals Fluidtime's ability to operate across different transport use cases.
Cross-sector capabilities
Urban digital infrastructure and smart city data platformsLogistics and freight data integrationIoT sensor data processing and real-time analytics
Analysis note: Only 2 projects, both launched in the same year with no keyword metadata — no keyword evolution analysis is possible. Profile is partly inferred from company name, website domain, and project titles. Verify against Fluidtime's current commercial portfolio before outreach or consortium invitation.