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Cognitive Computing Continuum for Large-Scale Distributed GenAI Agents

Objective

AI agents show great potential in solving real-world problems, but are hard to scale. Some of the reasons are their heavy resource consumption, brittle collaboration under distributed infrastructures, and the inherent AI uncertainty of AI lacking human trust.

CoAgent researches a new agent continuum that enables GenAI agents to operate seamlessly across trustworthy cloud-edge infrastructures via three groundbreaking research pillars: (1) Agent Operation for intent-based orchestration of models and agents cross edge, cloud and HPC, exploiting small and unconventional devices with energy efficiency; (2) Agent Connectivity for autonomous agent collaboration and distributed decision making, supported by on-demand network and tool use; and (3) Agent Trustworthiness for secure execution, continuous observability, risk governance, and human-agent alignment.

The results are 12 enablers that help agentic AI application developers and infrastructure providers to build a cognitive continuum, validated by four at-scale pilots for mobility management, medical device maintenance, drone mission control, and telecom operation, extended to biomedical research and smart cities.

Impact-wise, CoAgent aims to reduce Europe’s dependency on US cloud providers, currently operating over two-thirds of its GenAI workloads, to less than one-third by enabling GenAI agents to run across the cloud-edge continuum and promoting EU cloud and models.

CoAgent gathers a consortium of 17 partners (plus 4 affiliated entities) from 9 countries. Five world-leading industry groups drive the large-scale uptake of agentic AI and CoAgent results, with five SMEs as technology suppliers, supported by five universities, research institutes, and one public sector organization. The consortium covers a complete value chain for EU-made continuum, provides access to EU GenAI models and agentic platforms, and represents strong international collaboration with the Republic of Korea and New Zealand.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2025-04

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Coordinator

UNIVERSITAET INNSBRUCK
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 756 875,00
Address
INNRAIN 52
6020 Innsbruck
Austria

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Region
Westösterreich Tirol Innsbruck
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 756 875,00

Participants (19)

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