Imagine a smart assistant that doesn't just guess, but asks for your help when it's confused. It combines the speed of computers with human common sense and rules to solve tricky problems. Instead of one giant brain, it uses a team of smaller AI agents working together to find the best answer.
AI often fails in unpredictable, real-world industrial settings because it lacks human common sense or requires too much data to learn. This leads to a trust gap where workers ignore AI suggestions or AI makes confident but wrong decisions.
A reference architecture and an operating system platform that combines Active Learning, Neuro-Symbolic AI, Swarm Learning, and Explainable AI into one interface.
If you are an industrial automation integrator dealing with unpredictable assembly line errors — this project developed an OS platform that lets human workers and AI collaborate to solve problems faster than either could alone.
If you are a warehouse management provider dealing with unstructured environment changes — this project developed a system using Swarm Learning that coordinates multiple AI agents to optimize efficiency.
If you are a grid maintenance operator dealing with complex fault diagnosis — this project developed Neuro-Symbolic AI that uses rules and semantics to provide accurate predictions with very little training data.
Based on available project data, specific pricing models are not mentioned; however, the project received an EU contribution of EUR 7,658,375 for development.
The project aims to create a platform for various industrial sectors and is currently defining a Reference Architecture to ensure it can be integrated into the European AI ecosystem.
Based on available project data, specific licensing terms are not provided, but the project focuses on promoting a platform for AI solution integrators.
The system uses ergonomic human-machine interfaces and a standard-based Reference Architecture to ensure interoperable interactions between humans and AI.
The project period runs from 2023-10-01 to 2026-09-30, indicating it is currently in the development and validation phase.
The consortium is heavily weighted toward commercial application, with 13 industry partners representing a 72% industry ratio. With 9 SMEs and partners across 12 countries, the project is designed for broad market adoption rather than pure academic research, led by GFT Italia SRL.
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