PROTOTYPING, DEMOs, EXPERIMENTAL DEVELOPMENT, ENVIRONMENTAL INVESTMENTS

Funding for new product and solution development and testing

We can facilitate your access to funding instruments that can help you develop, test and validate your technologies and prototypes in a lab or a relevant environment. We can also advise you on aid measures that help your company have a positive impact on the environment. Feel free to contact us to identify the funding tools that best suit your needs.

Get help to find the right funding measure(s)

Boost your processes and organisation through innovation

Process and organisational innovation

R&D subsidy: tailor-made support

R&D projects and programmes

Co-develop and validate new solutions with partners

Joint calls for projects

Protect your ideas and get external innovation support

SME innovation

Invest in eco-technology or environmentally friendly processes

Environmental protection aid

Build, modernise or manage your innovation cluster

Innovation clusters

Conduct R&D projects with partners in other countries

EUREKA and IraSME

Test and implement tomorrow’s innovative solutions

Horizon Europe Pillar - Innovation Actions

Join projects accelerating digital technologies

Digital Europe Programme

Drive innovation addressing major societal challenges

Horizon Europe Pillar - Missions

Be part of European thematic public-private partnerships

Horizon Europe - Public-private partnerships

Mature your technology and develop a business case

EIC Transition

Join R&D projects on defence capability technologies

European Defence Agency CapTech working groups

Scale up your dual-use technologies (civil/defence)

NATO Defence Innovation Accelerator for the North Atlantic (DIANA)

Upcoming events

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Webinar | Information on the Law of 8 December 2025 on the renewal of the aid scheme for environmental and climate protection

The Law of 8 December 2025, which aims to renew the aid scheme for environmental and climate protection, amends the existing Laws of 20 July 2017 (establishment of a regional investment aid scheme) and of 15 July 2022 (aid scheme in the context of the greenhouse gas emission allowance trading scheme for the period 2021-2030).

MeluXina: High Performance Data Analytics

Due to the enormous growth in the size and number of datasets, professionals need tools and techniques to work with big data. Data analysis and preprocessing of small data can be done on a single computer, most of the time in a sequential regime. Typical libraries used are NumPy, Pandas, Scikit-learn, Matplotlib.

European Defence Fund – Luxembourg national infoday 2026

Join us for the Luxembourg National Information Day dedicated to the European Defence Fund (EDF) 2026 Work Programme. This event is a collaborative initiative by Luxinnovation and the Directorate of Defence designed to help Luxembourg's industrial and research communities navigate and maximise EDF funding opportunities.

Webinar | Call for tenders for the installation of photovoltaic power plants 2026

Building on the previous calls for projects launched since 2022, the Ministry of the Economy is opening a new call for tenders, tailored to the needs and expectations of companies, with the aim of encouraging the development and operation of large-scale photovoltaic power plants in Luxembourg.

L-DIH Talks | General cybersecurity awareness

Renforcez votre vigilance. Protégez vos opérations. Développez une véritable cyber-résilience.

Tomorrow in E-motion | PAE-e-green Days 2026

Save the Date: March 3-4, 2026 Campus Birkenfeld

MeuXina: Accelerating Generative Adversarial Networks with HPC

Generative Adversarial Networks (GAN) are a type of Deep Neural Network (DNN) containing at least two networks within their structure – a Generator and a Discriminator. The Generator and the Discriminator play a competitive game against each other: The Generator tries to synthesize the most realistic data, e.g., images, videos, or signals, while the Discriminator is trained to distinguish real from fake (generated) data. The aim is to achieve equilibrium between these two neural networks, which requires a huge amount of data as well as a large amount of computation.