Projects powered by EIT Manufacturing
At smartFAB, we are proud to be at the forefront of innovation in the industrial sector, driving the transformation of manufacturing processes through cutting-edge AI solutions. As part of the EIT Manufacturing ecosystem, we collaborate with leading industry players to accelerate the adoption of smart technologies in manufacturing environments.
Through this collaboration, we leverage the expertise of a diverse consortium to push the boundaries of AI and analytics in manufacturing. The EIT Manufacturing projects are focused on advancing our core technology—data analytics solutions that transform raw production data into actionable insights, helping manufacturers make smarter decisions in real-time.
CONSORTIUM MEMBERS
PROJECT CHALLENGE
The industrial sector faces significant challenges when it comes to leveraging the growing volume of data generated by production systems. The project focuses on transforming this data into actionable insights for manufacturers, helping them reduce costs and improve operational efficiency.
OUR PROJECT IN NUMBERS
1
YEAR
The project kicked off in January 2024 and lasted 12 months.
6
PARTNERS
The consortium included four end users, one startup, and one research center.
4 EU
COUNTRIES
Italy, Greece, Luxembourg, and Germany, bringing together a diverse range of perspectives and expertise.
4 INDUSTRIAL
SECTORS
The innovations have been applied in the white goods, auto components, consumer goods, and tire manufacturing sectors.
2
INNOVATIONS
The Digital Lean Manufacturing and the Anomaly Detection & Predictive Analytics innovations were developed and launched on the market.
IMPACT
The integration of advanced AI analytics enhanced workforce skills and operational efficiency. It improved decision-making, collaboration, and sustainability, reducing waste and downtime. The project validated product market fit, fostered innovation and partnerships, and aligned with global sustainability goals, creating lasting business and manufacturing impact.
+10%
OEE
-30%
scrap rate
-24%
downtime
+10%
throughput
This project has received funding from the EIT Manufacturing call for proposals 2025 research and innovation programme.
