SciTransfer
Organization

FREQUENTIS CZECH REPUBLIC SRO

Czech arm of Frequentis delivering air traffic management, drone-integration and U-space engineering inside SESAR projects.

Large industrial companytransportCZNo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
Unique partners
69
What they do

Their core work

Frequentis Czech Republic is the Prague-based arm of the Frequentis group, a supplier of communication, information and control-room systems for air traffic management (ATM) and other safety-critical domains. Through SESAR Joint Undertaking projects they contribute engineering and system-integration work on the next generation of European air traffic control — including the insertion of drones and remotely piloted aircraft into civil airspace. Their role is practical and technical: building and validating the ATM software, voice/data services and controller-facing tools that airspace regulators need before new categories of aircraft can fly routinely.

Core expertise

What they specialise in

Common ATM services and infrastructuresecondary
1 project

PJ15 COSER (Common Services) focused on shared service infrastructure used across SESAR solutions.

Evolution & trajectory

How they've shifted over time

Early focus
Common ATM services
Recent focus
Drone and U-space integration

Early work (PJ15 COSER, 2016-2019) sat in SESAR's foundational layer — common services shared across ATM solutions. From 2019 the focus shifts sharply toward new airspace users: ERICA tackles RPAS and drones flying under IFR alongside manned aircraft, and GOF2.0 pushes into urban air mobility and U-space. The direction is unmistakable — from back-end ATM infrastructure to front-line integration of unmanned and urban aviation.

They are moving with the European ATM roadmap toward drones, U-space and urban air mobility — a good fit for partners working on unmanned aviation, airspace digitalisation or safety-critical communications.

Collaboration profile

How they like to work

Role: third_party_expertReach: European23 countries collaborated

They consistently appear as a third party inside SESAR consortia rather than as a named beneficiary or coordinator, typically contributing specialist engineering alongside the parent Frequentis group. Despite this indirect role they have been exposed to 69 partners across 23 countries, because SESAR projects pull in most major European ANSPs, airframers and ATM suppliers. Expect them to deliver focused technical work inside a large, pre-formed consortium rather than to shape the consortium itself.

Connected to 69 distinct partners across 23 countries through three SESAR projects, with a strongly European footprint centred on the ATM and ANSP community.

Why partner with them

What sets them apart

Frequentis is one of the few commercial suppliers whose voice and data communication systems are already installed in control towers and centres across Europe, so the Czech entity brings real operational product context — not just research code — into SESAR work. Compared with pure research labs in the same projects, they can take validated concepts and push them toward deployable ATM products. For a partner, this means a route from prototype to something an air navigation service provider might actually buy.

Notable projects

Highlights from their portfolio

  • PJ13-W2 ERICA
    Directly addresses one of European aviation's hardest open problems — inserting RPAS and unmanned aircraft into controlled IFR airspace with detect-and-avoid.
  • GOF2.0
    A very large demonstration of integrated urban airspace and U-space services, placing them at the front of the urban air mobility wave.
  • PJ15 COSER
    A core SESAR2020 'common services' project, meaning their work touched infrastructure reused across many other ATM solutions.
Cross-sector capabilities
digitalsecurityspace
Analysis note: Only three projects and all as third party, with no EC funding figures recorded — profile is directionally solid because all projects are in the same SESAR/ATM domain, but financial scale and exact contribution cannot be quantified from the data.