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All calls › Horizon Europe › HORIZON-CL4-2027-04-DIGITAL-EMERGING-04
ForthcomingHorizon Europe

Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)

The Apply AI Strategy [1] proposes a comprehensive set of measures to notably harness the transformative potential of AI. It lays down targeted measures to boost AI use in key strategic sectors of the EU economy including healthcare, mobility and manufacturing for example. With challenges designed to spark breakthroughs in such strategic sectors, the current topic will directly support key activities of the Apply AI…

Deadline 18 Mar 2027Opens 17 Nov 2026Budget €42MIndicative grants 3EU contribution per project €14MSingle stageHORIZON Research and Innovation Actions

Funding and competition

  • 3grants expected (official)
  • €14MEU contribution per project
  • €5Mmedian EU grant of the most similar funded projects
  • 230projects funded in earlier topics of this programme line

Success rates vary widely between topics (often from below 5% to above 30%). Ask us for the success-rate history of this topic before you commit to a proposal.

Organisations with a track record in this topic

Organisations that took part in the EU-funded projects most similar to this call (Horizon Europe and Horizon 2020), ranked by how close those projects are to the call, how recent they are and whether the organisation coordinated them. Being listed does not mean an organisation is looking for partners: use the list to target your outreach.

OrganisationCountryTypeSimilar EU projectsAs coordinatorExamples (CORDIS)
Commissariat A L Energie Atomique Et Aux Energies Alternatives
Paris
FranceResearch organisation142SOPRANO, EARASHI, AI4SWEng
Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev
Munchen
GermanyResearch organisation143SoliDAIR, HIVEMIND, RETINA
Netcompany S.A.
Luxembourg
LuxembourgCompany80SOPRANO, COROB, MOSAICO
Centre National De La Recherche Scientifique Cnrs
Paris
FranceResearch organisation72AGIMUS, REGO, euROBIN
Fundingbox Accelerator Sp Zoo
Warszawa
PolandOther · SME70AMALTEA, COROB, TALOS
Tampereen Korkeakoulusaatio Sr
Tampere
FinlandUniversity61FEROX, CLARUS, CloSer
Fundingbox Communities Sl
Madrid
SpainOther · SME60AMALTEA, COROB, TALOS
Fundacion Tecnalia Research & Innovation
Donostia/San Sebastian
SpainResearch organisation52AMALTEA, JARVIS, ROB4GREEN
Fondazione Istituto Italiano Di Tecnologia
Genova
ItalyResearch organisation62MOZART, REGO, MAGICIAN
Politecnico Di Milano
Milano
ItalyUniversity52CLARUS, euroFMX, BioProS
Pal Robotics Slu
Barcelona
SpainCompany · SME60ASTIR, OPERA, AGIMUS
Idryma Technologias Kai Erevnas
Irakleio
GreeceResearch organisation51SOPRANO, AI4SWEng, RECLAIM
Panepistimio Patron
Rio Patras
GreeceUniversity42COROB, JARVIS, GRAIL
Institut National De Recherche En Informatique Et Automatique
Le Chesnay Cedex
FranceResearch organisation51AGIMUS, REGO, euROBIN
Consiglio Nazionale Delle Ricerche
Roma
ItalyResearch organisation50CloSer, OPERA, PHACTORY

Spanish organisations with experience in this field

The Spanish organisations that appear most often in the closest funded projects.

OrganisationCountryTypeSimilar EU projectsAs coordinatorExamples (CORDIS)
Fundingbox Communities Sl
Madrid
SpainOther · SME60AMALTEA, COROB, TALOS
Fundacion Tecnalia Research & Innovation
Donostia/San Sebastian
SpainResearch organisation52AMALTEA, JARVIS, ROB4GREEN
Pal Robotics Slu
Barcelona
SpainCompany · SME60ASTIR, OPERA, AGIMUS
Asociacion De Investigacion Metalurgica Del Noroeste
Porrino
SpainResearch organisation41RETINA, euroFMX, GRAIL
Universidad De Sevilla
Sevilla
SpainUniversity41COSMIC, AEROSUB, euROBIN
Fundacio Eurecat
Cerdanyola Del Valles (Barcelona)
SpainResearch organisation31Smart Droplets, IntelliMan, GRAIL
Universitat Politecnica De Valencia
Valencia
SpainUniversity31FEROX, CLARUS, PHOTONGATE
Universitat Politecnica De Catalunya
Barcelona
SpainUniversity30HIVEMIND, IntelliMan, Phorwards21

What a typical winning consortium looks like

  • 12partners (median)
  • 7countries (median)
  • 30%of partners are SMEs
Company 46%University 21%Research organisation 20%Other 11%Public body 2%

Based on the 25 funded projects closest to this call. Use it as a benchmark, not a rule: always check the call conditions for the minimum consortium.

Most similar funded projects

Read their CORDIS pages to see the full consortium, results and deliverables.

  • AMALTEA – Advancing Green Deal Principles in sMart FacAde TechnoLogies for the construcTion sEctor based on AI, Data & Robotics (HORIZON · 2025 · HORIZON-CL4-2024-DIGITAL-EMERGING-01-04)
  • SoliDAIR – Solid, rapid and efficient adoption of Data, AI & Robotics applications in production (HORIZON · 2023 · HORIZON-CL4-2022-DIGITAL-EMERGING-02-05)
  • AID4SME – enabling SMEs to develop AI and DATA solutions through support of a Community of Practice and low-TRL and high-TRL playgrounds (HORIZON · 2024 · HORIZON-CL4-2024-DIGITAL-EMERGING-01-04)
  • SOPRANO – Socially-Acceptable and Trustworthy Human-Robot Teaming for Agile Industries (HORIZON · 2023 · HORIZON-CL4-2022-DIGITAL-EMERGING-02-07)
  • EARASHI – Embodied AI/Robotics Applications for a Safe, Human-oriented Industry (HORIZON · 2022 · HORIZON-CL4-2021-DIGITAL-EMERGING-01-10)
  • ALCHIMIA – Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry (HORIZON · 2022 · HORIZON-CL4-2021-DIGITAL-EMERGING-01-09)

Live partner requests

Organisations actively looking for partners publish their requests on these official platforms.

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Upcoming info days and brokerage events

Brokerage events are where most consortia are built.

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Building a consortium for this call?

Publish what you are looking for or what you can offer on the Ullswater partner board. We review each request, publish it on this page and introduce you to suitable partners.

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Track-record data: CORDIS open data (European Commission), organisation level only, refreshed weekly. Rankings are calculated automatically by Ullswater Investments from text similarity between the call and funded projects; they are indicative.