Samotics, a Dutch-based electrical data analytics company has secured a €20 million financing deal with the European Investment Bank (EIB) to boost its research and development efforts. This investment will help Samotics advance its machine health monitoring and energy efficiency solutions while supporting the upcoming launch of its next generation integrated solution later this year. Funding fits into the mission of the company to make industry more reliable, efficient, and sustainable.
EIB for Industry 4.0 Innovation
The EIB is focusing on accelerating digitalization and innovation in Industry 4.0 technologies such as artificial intelligence and microchips that are important for Europe’s green and digital transitions. This support also strengthens Europe’s technological autonomy in an increasingly competitive global landscape. The EIB’s backing is part of the “Future Tech” guarantee within the InvestEU initiative, reflecting the importance of reliability and energy efficiency in Europe’s decarbonization efforts across industries.
Robert de Groot said, EIB Vice President said, “This is one those applications where the use of artificial intelligence can really make a difference. It highlights that modern challenges require modern solutions, and this intelligent way to pre-empting problems and optimising energy efficiency is an important element in our decarbonisation journey.
He added, “As part of our commitment to supporting technology and innovations critical for Europe’s competitiveness, we are proud to back Samotics.”
Also read: EIB Invests €2.75 Million to Support Greece’s Lignite Phase-Out and Green Transition in Five Regions
Samotics’ Innovative Technology
Samotics utilizes electrical signature analysis (ESA) to monitor and predict faults in machinery, focusing on subtle changes in operational characteristics that occur before failure. This allows the system to assess the entire powertrain—from motor to transmission to load—using AI-driven analytics to identify malfunctions and energy inefficiencies.
The technology can be installed in electric cabinets, bypassing the need for direct access to motors, which is often difficult or impractical. Predictive malfunction detection and energy optimization can significantly reduce operational costs and prevent costly downtime, especially in critical infrastructure.