EIC has selected 20 projects, each with €300,000 for up to nine months, for its first Advanced Innovation Challenges pilot. The projects started on 1 September 2026 after a call that received 709 proposals from 39 countries. The pilot divides the selected work between Accelerating Physical AI and Translating Disruptive New Approach Methodologies into Practice.
What is the pilot funding?
The programme is a challenge-led pilot intended to support projects working towards solutions in defined areas. For this first stage, EIC provides each selected project with €300,000 for up to nine months. The source says the funds support development and validation, performance benchmarking and demonstrations of a solution’s potential. It does not name the selected teams or disclose other project financing.
What happens during the first stage?
Teams are expected to work with users and other relevant stakeholders over the coming months. Their task is to develop and validate their solutions, then show how the work could address the challenge it was selected under. The source also says kick-off meetings will bring together projects within each challenge to identify shared problems, explore synergies and share collaboration opportunities. It gives no dates for those meetings.
What does physical AI mean here?
In the announcement, Accelerating Physical AI covers AI systems designed to work in complex physical environments. The 10 projects in this area involve settings such as logistics, maritime applications, industry, rescue environments and autonomous scientific laboratories. The source describes possible benefits including safer, more productive workplaces, more autonomous industrial processes and faster scientific discovery. These are potential impacts, not results already demonstrated by the selected projects.
What are new approach methodologies?
The second challenge, Translating Disruptive New Approach Methodologies into Practice, concerns alternatives to traditional animal-based research and testing. Its 10 projects aim to bring such methods closer to real-world use. The source lists tumour-on-chip models, digital twins for stroke treatment, approaches to gene-therapy safety and computational tools supporting these methodologies. It says the ambition is to make biomedical research and development more predictive and human-relevant, while supporting reduced reliance on animal testing.
How were projects chosen, and what follows?
The call attracted 709 proposals from 39 countries, and EIC selected 20 projects after a competitive and rapid evaluation, according to the source. It does not publish a country-by-country breakdown, applicant names or the evaluation criteria in the supplied material. The projects began work on 1 September 2026, and the next described activity is the challenge-level kick-off meetings. Projects that meet first-stage milestones can compete for further support to develop and test their technologies in real-world settings; the source does not state the amount or guarantee an award.
The pilot is also intended to test a way of supporting innovation through a portfolio of projects. Its design links ambitious challenges and competition with early user engagement, while subsequent funding depends on demonstrated progress. The source does not yet report project results or milestone outcomes. Those details will show how the first stage develops and which projects may pursue further support.