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CEREBRA-AI: A unified framework for continual, explainable and embodied General-Purpose Artificial Intelligence

Objective

CEREBRA-AI will deliver a sovereign, trustworthy-by-design general-purpose AI platform built around four pillars: (1) a hybrid neuro-symbolic reasoning core for verifiable multi-step inference; (2) a continual-learning orchestrator that composes specialist models, detects drift, and balances accuracy, latency, and energy; (3) an embodied and relational interface that grounds knowledge through interaction with robots and high-fidelity digital twins; and (4) a transversal trust framework embedding explainability, provenance, fairness auditing, uncertainty handling, and AI Act–aligned compliance. The architecture is operationalised via an integration substrate that connects to European data spaces, orchestrates retrieval-augmented and agentic workflows, and provides conformity tooling for interoperable, evidence-backed deployments from edge to cloud.

Impact will be demonstrated across sectoral pilots in healthcare, mobility, energy, environment, and manufacturing, targeting ≥20% performance gains while maturing assets to TRL-5 and reporting safety and trust metrics. The project commits to open assets, open-access publications, and large-scale training, with deposits on AI-on-Demand and sustained engagement with European ecosystems and standards bodies to drive uptake.

A rigorous risk and exploitation plan underpins sustainability: resource-aware design and access to compute mitigate data and scaling bottlenecks; a clear KER portfolio, tech-transfer agreements, and open-source stewardship ensure post-project continuity and market traction. By coupling reasoning, lifelong adaptation, embodiment, and built-in compliance in a single EU-aligned stack, CEREBRA-AI advances the state of the art and strengthens Europe’s digital autonomy with a practical, auditable path to trustworthy GPAI.

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)

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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

NEURALIO AI IKE
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.

€ 871 328,13
Address
12o CHLM THES/NIKIS - N MOUDANION 0,
570 01 THERMI
Greece

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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.

€ 871 328,13

Participants (33)