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FRAME: A Model-Based Foundry for Engineering, Adapting, and Assuring the Quality of AI Agents

Objective

AI agents powered by large AI models automate interactions between humans and digital tools and are increasingly adopted to enhance productivity and integrate local and external data sources and services. However, current agent technology is still unable to provide the reliability, transparency and composability required for scalable and trustworthy deployment. The lack of engineering foundations and systematic quality control prevent agents from evolving into trustworthy, reliable, composable and maintainable systems.
FRAME aims at advancing the engineering of AI agents by creating a software-engineering foundry layered on top of existing agent technologies. The foundry will provide reference architectures, model-driven engineering methods, lifecycle governance, quality control and self-improvement to support the development of modular, composable and trustworthy agents able to reason about uncertainty. It will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development, deployment and evolution of AI agents. By establishing foundations for trustworthy agent engineering, FRAME will enable productivity, adaptability, reliability and foster both adoption and economic value across sectors. FRAME’s will be validated on real-world use cases (robotics, healthcare and software frameworks) settings and will also advance and disseminate critical knowledge and skills in AI agent engineering to industry professionals, postgraduate students and researchers.
This research is vital to the digital and AI-enabled economy and its potential to generate opportunities for productivity and growth. The project will build and share an understanding of trustworthy and safe AI agent engineering and will sustain its benefits to the economy and society.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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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

FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICACIONS DE GALICIA
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.

€ 491 875,00
Address
CARRETERA DO VILAR 58
36214 VIGO
Spain

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Region
Noroeste Galicia Pontevedra
Activity type
Research Organisations
Links
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.

€ 491 875,00

Participants (12)