SciTransfer
Organization

CYGNIFY BV

Dutch human factors SME specializing in driver-automation interaction, shared control, and AI-mediated safety systems for intelligent road transport.

Technology SMEtransportNLSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€853K
Unique partners
29
What they do

Their core work

Cygnify BV is a Dutch SME specializing in human factors and behavioral science applied to road transport safety, with a particular focus on how drivers interact with intelligent and automated vehicle systems. Their core work involves designing and evaluating the mechanisms by which control is shared or transferred between human drivers and automation — a critical challenge as vehicles become increasingly autonomous. In the MEDIATOR project they developed intelligent support systems that mediate the driver-automation relationship in real-time, drawing on AI and multi-modal interaction approaches. They function as a specialist contributor bringing behavioral and human factors expertise into large pan-European transport research consortia.

Core expertise

What they specialise in

Human-automation interaction in road transportprimary
2 projects

Both MeBeSafe and MEDIATOR center on the relationship between human behavior and intelligent transport systems, with MEDIATOR specifically addressing mediation between drivers and automated vehicles.

Transition of control and shared control systemsprimary
1 project

MEDIATOR (2019–2023) generated keywords including 'transition of control' and 'shared control', indicating direct work on handover protocols between driver and automation.

Traffic safety behaviorprimary
2 projects

MeBeSafe ('Measures for behaving safely in traffic') and MEDIATOR both address road safety as a core outcome, covering behavioral interventions and AI-supported risk reduction.

AI-based intelligent driver support systemssecondary
1 project

MEDIATOR introduced 'artificial intelligence' and 'intelligent support system' into Cygnify's keyword profile, reflecting growing competence in AI-driven assistance tools.

Multi-modal transport interactionemerging
1 project

The 'multi modal' keyword from MEDIATOR suggests expanding scope beyond single-mode road vehicles toward broader transport system interaction.

Evolution & trajectory

How they've shifted over time

Early focus
Traffic safety behavior change
Recent focus
AI-mediated driver-automation control

Cygnify's first H2020 project, MeBeSafe (2017–2020), addressed traffic safety through behavioral measures — broad in scope, with no specific technical keywords recorded, suggesting a general human factors or behavior change focus. By the time MEDIATOR began in 2019, their profile sharpened significantly: the project's keywords reveal a pivot toward the technically precise challenge of adaptive automation, AI-mediated control, and formalized handover between driver and machine. The trajectory is clear — from "how do people behave safely in traffic" toward "how do intelligent systems and human drivers share and negotiate control in real time."

Cygnify is moving deeper into the human side of automated driving — the behavioral, cognitive, and interaction design challenges that determine whether autonomous vehicle systems are actually safe and usable in practice.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European8 countries collaborated

Cygnify participates exclusively as a consortium partner and has never led an H2020 project, indicating a preference or positioning as a specialist contributor rather than a project manager. Despite only two projects, they have engaged with 29 unique partners across 8 countries, suggesting they operate in large, multi-partner RIA consortia typical of EU transport research. This breadth of partnerships relative to project count points to an organization that integrates well into diverse teams rather than building a narrow recurring network.

Cygnify has built a notably wide network for a two-project SME — 29 unique partners across 8 countries, suggesting both MEDIATOR and MeBeSafe were large consortia with significant European reach. Their geographic spread across 8 countries reflects the pan-European composition typical of H2020 transport RIAs.

Why partner with them

What sets them apart

Cygnify occupies a specific and increasingly valuable niche: they understand both human behavior and the technical requirements of automated driving systems, making them rare among consultancies that typically sit on one side or the other. As automated vehicle deployment moves from research labs toward real roads, the transition-of-control problem — their core competency — becomes the central unsolved challenge that every OEM, regulator, and mobility operator must address. A consortium building a project around Level 3–4 automation, driver monitoring, or ADAS evaluation would find in Cygnify a partner who brings validated behavioral frameworks rather than purely engineering perspectives.

Notable projects

Highlights from their portfolio

  • MEDIATOR
    Their largest funded project (€518,840) and the one that crystallized their technical identity — directly addressing AI-mediated control handover between drivers and automated systems, a defining challenge of the autonomous vehicle era.
  • MeBeSafe
    Their entry into H2020 transport research, focused on behavioral safety measures, which established the human factors foundation that the later MEDIATOR work built upon.
Cross-sector capabilities
Digital & AI — intelligent support systems and adaptive automation applicable beyond transportSecurity & safety systems — behavioral risk reduction frameworks transferable to industrial or public safety contextsHuman-computer interaction — driver-automation mediation expertise relevant to any human-machine interface domain
Analysis note: Only 2 projects in the dataset, both as participant with no coordination history. The MEDIATOR keyword set is specific enough to support a focused profile, but organizational size, internal capabilities, and commercial offerings cannot be confirmed from project data alone. Analysis should be treated as indicative rather than definitive.