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information technology & services
ZEDEDA is a technology company based in San Jose, California, founded in 2016. It specializes in edge orchestration, offering a cloud-native, vendor-agnostic platform that manages, secures, and scales distributed edge infrastructure and applications. As a Software-as-a-Service (SaaS) provider, ZEDEDA operates on a subscription-based model, allowing customers to utilize its services flexibly. The company's core offering includes a central control center for orchestrating Edge Nodes and applications, designed for diverse industries and hardware types. Key features of the platform include distributed edge orchestration, real-time visibility and security, and support for multi-cloud strategies. ZEDEDA's orchestration platform is built on EVE-OS, an open-source edge operating system, ensuring a robust foundation for edge computing. The company targets global distributed enterprises and industrial sectors, providing solutions that enable seamless orchestration and operational efficiency.
ZEDEDA is a technology company based in San Jose, California, founded in 2016. It specializes in edge orchestration, offering a cloud-native, vendor-agnostic platform that manages, secures, and scales distributed edge infrastructure and applications. As a Software-as-a-Service (SaaS) provider, ZEDEDA operates on a subscription-based model, allowing customers to utilize its services flexibly. The company's core offering includes a central control center for orchestrating Edge Nodes and applications, designed for diverse industries and hardware types. Key features of the platform include distributed edge orchestration, real-time visibility and security, and support for multi-cloud strategies. ZEDEDA's orchestration platform is built on EVE-OS, an open-source edge operating system, ensuring a robust foundation for edge computing. The company targets global distributed enterprises and industrial sectors, providing solutions that enable seamless orchestration and operational efficiency.
ZEDEDA has been mentioned across 2 podcasts.
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