PHY Wireless and Ubiik Deliver a 3GPP Standards-Based Alternative for Physical AI and Industrial Positioning
Combined private LTE/5G communications and edge-based positioning solution enables real-time asset visibility, workforce safety, and next-generation Physical AI applications at significantly lower cost and with greater ease of deployment and use
SAN DIEGO & TAIPEI, Taiwan, October 20, 2026--PHY Wireless, a pioneer in edge-based cellular positioning technology for massive IoT and next-generation 5GSA & 6G wireless networks, and Ubiik, a leading provider of private LTE and 5G networking solutions, today announced a strategic collaboration to deliver an integrated communications and positioning platform designed for enterprise, industrial, utility, healthcare, and campus environments.
The combined solution brings together Ubiik's private LTE/5G infrastructure with PHY Wireless' hellaPHY positioning technology, enabling organizations to deploy a single platform for both wireless communications and highly accurate location services. The offering provides real-time visibility of assets, equipment, vehicles, and personnel while creating a foundation for emerging Physical AI and sensing applications.
As enterprises increasingly look to connect the physical and digital worlds, demand is growing for location-aware systems that can support automation, operational intelligence, and AI-driven decision making. Accurate positioning is becoming a foundational capability for next-generation industrial and enterprise applications.
Traditional GPS and Wi-Fi-based location systems often struggle in warehouses, containers, manufacturing facilities, and other complex environments while consuming significant power. PHY Wireless's edge-based approach is designed to overcome these limitations by enabling more location updates, significantly lower power consumption, and greater operational visibility.
Unlike conventional positioning approaches that depend on cloud-based processing, PHY Wireless calculates location directly on the device. This edge-based architecture enables autonomous location awareness, allowing devices to intelligently determine when location updates are required while reducing network traffic, bandwidth usage, data costs, and power consumption. The result is a more scalable, cost-effective, and privacy-preserving approach to location intelligence across industrial and enterprise environments.
Built on standards-based LTE and 5G infrastructure, the combined solution enables organizations to leverage existing wireless investments while adding location intelligence without deploying separate positioning networks.