Seed Group and Samotics join for service expansion in Middle East

The companies will collaborate to identify approaches and opportunities to bring Samotics' solutions to the region's industrial players, aiming to eliminate their unplanned downtime and improve energy efficiency.

The partnership is an important milestone in Samotics' global growth strategy, as it marks its first entry into the Middle Eastern market.

Samotics' SAM4 technology supports global industries to monitor the performance and efficiency of critical assets. Underpinned by a technique called electrical signature analysis (ESA), it analyses the current and voltage signals of electric-driven equipment such as motors, pumps and conveyors. The system's sensors install in the motor control cabinet, rather than on the machine being monitored, enabling reliable, remote capture of high-quality performance and efficiency data. Through this partnership, organisations across the Middle East can now access this technology for insights to make data-driven decisions in their maintenance strategies. 

Hisham Al Gurg, CEO of Seed Group and the Private Office of Sheikh Saeed bin Ahmed Al Maktoum, said, "Teaming up with Samotics will enable us to bring the latest technologies to help companies through downtimes. The innovative AI solutions by Samotics will make it possible for industries to enhance their performance and contribute to the national and regional economies through intuitive and predictive maintenance. We look forward to a fruitful association."

Jasper Hoogeweegen, CEO at Samotics said: "Our SAM4 solution is demonstrating clear value for industries globally, helping to identify developing faults, streamline maintenance approaches and meet carbon reduction targets. We are excited to be partnering with Seed Group to bring this technology to the Middle East and support businesses to unlock the full potential of asset performance data to improve efficiencies, save costs and optimise operation."

Within its SAM4 system, Samotics offers two solutions. SAM4 Health, the company's flagship offering, analyses current and voltage signals to detect electrical and mechanical faults. Using ESA and machine learning, SAM4 Health offers fault detection accuracy, detecting over 90% of failures up to five months in advance. SAM4 Energy, the world's first continuous monitoring system for industrial equipment efficiency, provides detailed performance and efficiency insights to identify where energy consumption, cost and efficiency losses are largest and implement data-driven recommendations.