The people behind your application
PatrickKroezen
Medior Consultant
Digital and IT teams have to deliver fast and, at the same time, build systems that last. What used to be enough, namely shipping features quickly, now has to comply with regulation, scale economically under AI and data loads, and stand up to clear cost and impact criteria. A large share of that work can qualify for funding, but in practice it is rarely recognised as such because it does not always look like classic research.
Three developments sit behind most roadmaps we see, across Europe alike.
Regulation reaches into the architecture. Requirements around data, cyber resilience and trustworthy AI determine architecture, interfaces and test concepts from the outset. Meeting them is genuine development work, not a compliance task.
AI has become infrastructure, not a feature. What matters is the foundation it requires: data pipelines, model integration, monitoring, governance and operational reliability.
The cost of digitalisation is a boardroom topic. Cloud, compute, licences and energy consumption affect scalability, margin and investment decisions, so teams must demonstrate efficiency as well as functionality.
Energy efficiency & decarbonisation
From equipment replacement to process heat: programmes for lower energy use and CO₂ are currently especially well funded.
Automation & robotics
Investment in robotics, sensor technology and connected equipment that secures productivity without replacing people.
Digitalisation & Industry 4.0
From the digital twin to connected manufacturing: funding for modernising production IT.
In digital and IT projects, the funding potential often lies not in the subject itself but in the technical uncertainty behind it. That is exactly where most stumbling blocks arise in practice.
Many projects are described as software development but read in the application like implementation, configuration or integration of known solutions. A project only becomes eligible once it is clear which technical uncertainty had to be resolved and why standard tools or known patterns were not sufficient.
Digital projects often contain mixed activities: architecture, prototyping, testing, UX, data modelling, operations, maintenance and rollout sit close together. If it is not cleanly separated which work is genuine development and which work belongs to business as usual, the eligible share is often reduced.
In software projects, hours are usually the largest cost item. Without traceable time recording, sprint documentation, tickets, work packages or technical decision records, it is difficult to demonstrate later who worked on which R&D element and when.
We do not start with the application but with your roadmap: which parts of your digital and IT projects contain real technical uncertainty, and which belong to normal delivery? Our specialists know both the schemes and the assessment practice in software, data and AI projects.
STEP 1
Review the roadmap.
We analyse your roadmap and separate eligible development work from routine work, operations and standard implementation.
STEP 2
Match the schemes.
We link the qualifying work to instruments at regional, national and European level.
STEP 3
Build the applications.
We write along the actual assessment criteria and not along the project description.
STEP 4
Protect what is awarded.
We keep the documentation audit-proof throughout the entire project period.
The people behind your application
Medior Consultant
The people behind your application
Senior Consultant
The people behind your application
Medior Consultant
The people behind your application
Medior Consultant
The people behind your application
Senior Consultant
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Without the knowledge of ‘grant-speak’ and the speed of action, we would never have pulled this off.
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