ZaiNar brings location awareness expertise to Arm® Total Design for Physical AI

ZaiNar brings shared, real-time location awareness to robots and autonomous machines

BELMONT, Calif., Sept. 8, 2026 — Today, ZaiNar announced it is joining the newly announced Arm® Total Design for Physical AI ecosystem as a founding location partner.

Arm Total Design for Physical AI is a collaborative ecosystem that brings together companies across the physical AI technology stack to reduce complexity, enable earlier development, and accelerate the path from design to deployment for autonomous systems. As part of the ecosystem, ZaiNar brings expertise in shared, real-time location awareness for robots and autonomous machines, while working to optimize its algorithms and signal processing to run on Arm-based compute platforms.

“Robotics has spent a decade teaching every machine to figure out where it is, one machine at a time. That was the only option when location had to come from the robot. It does not anymore. The networks are already deployed, and they can tell every machine on site where everything is, continuously, without adding a single piece of hardware. That is what we are bringing to the Arm Total Design for Physical AI ecosystem.”

— Daniel Jacker, CEO and Co-Founder, ZaiNar

“As physical AI moves toward deployment, autonomous systems need a shared understanding of the environments around them. Arm Total Design for Physical AI is designed to bring together the technologies needed to make that possible at scale, and ZaiNar’s location intelligence adds a critical layer of real-world awareness for robotics and autonomous machines.”

— Dermot O’Driscoll, Vice President of Go-to-Market, Physical AI, Arm

Every robot in the field today answers the same question in isolation: “Where am I, and where is everything else?” Each machine carries its own sensors, builds its own map, and starts from zero in every new environment. ZaiNar answers that question once, for the entire site, from the infrastructure side. It complements the perception running on each machine rather than replacing it, giving every robot on site the same shared ground truth.

ZaiNar turns the wireless networks already in place into a sensor, delivering sub-10cm location indoors, underground, and in the GPS-denied environments where satellite positioning fails. The system requires zero device changes and zero hardware changes, adds no battery drain, and runs network-side only.

ZaiNar provides location updates 100 to 500 times per second, compared with the once-per-second maximum of standard 5G positioning reference signals, so it keeps pace with fast-moving objects such as drones, vehicles, and robots. It is carrier-agnostic and works across WiFi, 5G, and other radio protocols. ZaiNar is self-calibrating: performance improves over time, with ZaiNar learning from every new environment it is deployed in.

ZaiNar delivers situational awareness for robotics across three capabilities. The first is training: grounding robot models in how people, equipment, and vehicles actually move through real sites. The second is swarm enablement, where every machine knows the position of every other machine and can coordinate optimized movements. The third is environmental memory, a persistent record of a site that new machines inherit instead of mapping the space from scratch.

About ZaiNar

ZaiNar is the foundation layer for Physical AI. Founded in 2017 and based in Belmont, California, ZaiNar turns the wireless networks that already exist into a sensor, delivering sub-nanosecond time synchronization and sub-10cm 3D location outdoors, indoors, underground, and in GPS-denied environments. ZaiNar runs as network-side software with zero device or hardware changes and no battery drain, works across WiFi, 5G, and other radio protocols, and is carrier-agnostic. ZaiNar has raised more than $100 million, is valued at more than $1 billion, holds more than 100 patents, shares board members with SpaceX & xAI, and is backed by Samsung, SoftBank, AME Cloud Ventures, Future Ventures, and GFC. Learn more at ZaiNarTech.com.

SOURCE ZaiNar, Inc

Leave a Reply

Your email address will not be published. Required fields are marked *