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The computing solutions change how industries, healthcare, and AI work. With hardware and software, they help automate tasks, analyze data, and stay connected.

SECO has announced a lineup of products powered by Intel architectures. These solutions, designed for industrial, medical, and AI-driven applications, focus on performance, scalability, and efficiency across various form-factor standards. The products are suitable for industrial automation, medical devices, AI and edge computing, IoT, smart infrastructure, and EV charging.
Manufacturers can use them for predictive maintenance and machine vision, while healthcare companies can integrate them into imaging systems and AI-assisted diagnostics. AI developers can use them for computing in robotics and smart surveillance, and businesses managing smart cities or connected devices can use Clea for remote monitoring, analytics, and security. EV charging operators can use Clea’s platform for fleet management, predictive maintenance, and digital signage, making these solutions suitable for industries that need computing at the edge.

The Intel Processor N-series, based on the Twin Lake architecture, delivers performance with low power consumption, featuring a TDP of 6W to 15W and up to 8 efficiency cores. The Arrow Lake-based Intel Core Ultra Processors introduce a multi-chip module (MCM) design with a mix of performance and efficiency cores, DDR5 memory, PCIe 5.0, Thunderbolt 4, USB 4, and AI acceleration reaching 13 TOPS.
SECO’s Clea platform provides integration across hardware, software, and cloud services, supporting cybersecurity, AI, and real-time performance. Clea OS is a Linux-based system with automated testing, IoT data orchestration, device management, and security features. Clea Cloud is a data orchestration and management platform enabling OTA updates, geolocation, and AI-driven analytics. Clea is already deployed in predictive maintenance, emergency response, and IoT-based services, simplifying hardware complexity while enabling real-time insights.