Imagine if different apps on your phone couldn't talk to each other and you had to manually move data between them. This project builds a smart bridge that lets different industries share and reuse data automatically. It uses AI as a digital librarian to find the right information across different sectors, making everything from healthcare to factories run smoother.
Companies struggle with fragmented data that cannot be shared across different sectors or organizations. This lack of interoperability slows down AI and robotics innovation and increases storage costs.
AI-enabled data brokers, green data compression tools, and cross-domain connectors. These tools manage the full data lifecycle from creation to disposal.
If you are a software developer dealing with fragmented sensor data for ADAS/AD — this project developed AI-based brokers that link disconnected data spaces. This allows for better training of self-driving algorithms by accessing diverse, sovereign data sources.
If you are a robotics provider dealing with rigid data silos between patients and operators — this project developed HRI (Human-Robot Interaction) enhancements. This reshapes how healthcare patients and robot operators interact through integrated data lifecycles.
If you are a factory operator dealing with high storage costs and carbon footprints — this project developed green data creation methods like compression and filtering. This reduces the environmental impact of your digital infrastructure while improving operational efficiency.
Based on available project data, there is no specific pricing model mentioned; however, the project is funded by an EU contribution of EUR 8,999,820 to develop the technology.
Yes, the project validates its tools through six use cases across five major data spaces, including industrial and energy sectors, to ensure scalability.
Based on available project data, the project focuses on decentralized protocols and standards to protect data-producing organizations, but specific licensing terms are not listed.
It uses AI-driven brokers and connectors with extended metadata to link previously disconnected entities and data spaces.
The project period runs from 2024-01-01 to 2027-06-30, suggesting the final validated results will be available mid-2027.
The consortium is highly balanced for commercialization, featuring 28 partners from 11 countries. With a 32% industry ratio (9 companies, including 11 SMEs), there is strong market pull. The mix of 11 research organizations and 6 universities ensures the technical depth is backed by practical industrial validation.
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