SOURCE-LINKED INTELLIGENCE
Transforming Predictive Maintenance (PdM) with Bio-Inspired Magnetic Neurons and GenAI
a 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
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2473992.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.