Objective
Maintenance inefficiencies cost global heavy industries over €1.4 trillion annually. Existing predictive maintenance solutions fall short due to low data accuracy, high computational needs, and poor handling of complex, multi-system failures.
Golana transforms industrial maintenance with an AI-powered assistant that combines proprietary hardware and generative AI. Our system detects anomalies with unmatched precision, explains root causes in natural language, and recommends targeted actions… shifting operations from reactive to intelligent and proactive.
At the core is a breakthrough anomaly detection algorithm based on bio-inspired magnetic neurons, developed with EIC Transition funding. It matches deep learning accuracy while requiring 10x less computational power, 10x less training data, and no fine-tuning, enabling real-time monitoring of any machine, regardless of complexity.
We will evolve Golana into a fully autonomous AI agent for continuous sensor analysis, predictive fault detection, and proactive guidance. Our universal platform supports maintenance teams, engineers, and quality specialists through intuitive heatmaps and AI-generated diagnostics that turn complex data into actionable insights.
Key differentiators include bio-inspired algorithms, high-resolution signal acquisition, compatibility with all machines, and autonomous operation with minimal training. Golana delivers measurable ROI by reducing downtime, optimizing maintenance, and improving efficiency across manufacturing, energy, and heavy industry.
As of today, Golana is already in trials with seven industrial partners across Europe, showing strong results.
The EIC Accelerator will allow us to recruit key talent, finalize development, scale adoption, and establish a European leader in industrial generative AI.
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.
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.
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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)
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.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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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.
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.
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-EIC-ACC - HORIZON EIC Accelerator
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-ACCELERATOR-02
See all projects funded under this callCoordinator
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.
38000 GRENOBLE
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.