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EdgeNectar to Integrate Its Private 5G Networks with Liftian AGVs

Reported by Automated Warehouse, July 31, 2024.

EdgeNectar and Liftians Inc. announced they have entered a strategic partnership to use EdgeNectar’s patented private 5G network technology to enhance Liftians’ mobile robots. The companies said their collaboration will set “a new standard for operational efficiency and connectivity in automated logistics and warehousing.”

“Partnering with EdgeNectar aligns with our commitment to innovation and excellence in automated logistics solutions,” said Jonathan Huang, CEO of Liftians. “Integrating private 5G connectivity will optimize Liftians’ AGVs’ efficiency and ensure seamless and secure communication across our clients’ facilities.”

Founded in 2016, Liftians provides software and hardware to help small and midsize enterprises improve efficiency, cope with labor shortages, and reduce costs. The Sunnyvale, California-based company’s automated guided vehicles (AGVs) provide support to warehouse management systems (WMS).

EdgeNectar applies AI to networking

Integrating with private 5G networks represents a growing trend in warehouse automation, according to EdgeNectar and Liftians. The private 5G network market could reach $36.08 billion by 2030, at a compound annual growth rate of 54.1% from 2024 to 2030, according to Grand View Research — growth driven by increasing demand for secure, high-speed, low-latency communication required by AGVs and other industrial applications.

Founded in 2019, EdgeNectar provides private 5G and edge computing supporting private and public mobile networks for sites such as hospitals, airports, shopping centers, and universities. The San Jose, California-based company uses artificial intelligence and machine learning to simplify and automate network operations. EdgeNectar said its network surpasses the capabilities of traditional Wi-Fi connectivity currently used as the industry standard, and delivers a simple network management portal for the core network, radio network, devices, and, in this case, AGVs.