ZaiNar Unlocks 5G's Killer App: Hyper-Accurate Location Without GPS

BELMONT, Calif. – February 27, 2026 – A Silicon Valley company today announced the commercial launch of a technology that promises to deliver on one of 5G’s most anticipated, yet elusive, capabilities: hyper-accurate location services. ZaiNar, a firm valued at over $1 billion, has unveiled a positioning system that can pinpoint any connected device with sub-10-centimeter accuracy, using existing 5G network signals without needing GPS, special hardware, or even software on the device itself.

The breakthrough represents a fundamental shift in how location data is generated and controlled, potentially turning every 5G cell tower into a powerful spatial sensor. By operating entirely on the network side, the technology bypasses the traditional gatekeepers of location information—the device operating systems made by Apple and Google—and places that power directly into the hands of network operators and enterprises.

"5G's killer app has finally arrived, and it's not theory, it's deployed," said Daniel Jacker, CEO and Co-Founder of ZaiNar, in a statement. "We're proving sub-10cm accuracy in real-world deployments across healthcare, construction, logistics, and smart city applications. This technology turns 5G from a faster pipe into genuine infrastructure for Physical AI."

A New Paradigm for Positioning

For years, the promise of precise location has been hampered by the limitations of existing technologies. GPS, the global standard, fails indoors and can be unreliable in dense urban canyons. Other solutions like Ultra-wideband (UWB) offer high precision but require the costly installation of dedicated hardware. Existing 5G positioning methods, which rely on Positioning Reference Signals (PRS), are often limited to meter-level accuracy and can only poll a device's location about once per second, making them unsuitable for tracking fast-moving objects.

ZaiNar's patented approach is fundamentally different. It leverages the Sounding Reference Signals (SRS) that every 5G-connected device already transmits 100 to 500 times per second to maintain its connection to the network. By achieving what the company calls sub-nanosecond time synchronization across network antennas, ZaiNar can triangulate a device's position with unprecedented precision. Because radio waves travel at a constant speed—roughly 30 centimeters per nanosecond—this extreme temporal accuracy translates directly into centimeter-level spatial accuracy.

The implications are vast. The system requires no additional battery drain from the tracked device, as all the computational heavy lifting is offloaded to the network. It functions on as little as 10 MHz of spectrum, making it viable for private 5G and low-power IoT networks where bandwidth is a premium. This allows for the real-time tracking of everything from a surgeon's tool inside a hospital to a fleet of autonomous drones, a worker on a construction site, or a smartphone in a crowded stadium.

Shifting the Balance of Power

Perhaps the most disruptive aspect of ZaiNar's technology is its ability to sidestep the powerful operating system duopoly of Apple and Google. Currently, these tech giants control whether a device shares its precise location signals with a network. Outside of legally mandated E911 emergency calls, access is typically denied by default. This has left telecommunications carriers, who have invested billions in 5G infrastructure, unable to monetize valuable location services on the very devices their networks support.

By utilizing the essential SRS connectivity signal, ZaiNar transforms positioning from a handset function, controlled by the OS, into a network function. A device must transmit this signal to stay connected, meaning its location can be determined by the network without requiring any app, user permission, or cooperation from the device manufacturer. This strategic shift hands control of a powerful new data stream back to the network owners, opening up novel business models and revenue opportunities for carriers and the enterprises that use their private networks.

The Dawn of the Physical AI Economy

Beyond just finding things, ZaiNar is positioning its technology as the foundational data layer for an emerging field known as "Physical AI." This refers to artificial intelligence that operates not behind a screen, but in the real world—powering autonomous robots, self-driving vehicles, and intelligent infrastructure.

Just as digital AI models like ChatGPT were trained on the vast dataset of the internet, Physical AI requires a continuous, live feed of where everything is in three-dimensional space to learn, navigate, and coordinate actions. This has been the primary bottleneck for deploying autonomous systems at scale. ZaiNar's technology aims to provide that missing data layer.

"ZaiNar's submeter location is the unlock for Physical AI," said Nishant Batra, a ZaiNar board advisor and the former CTO of Nokia. "It brings forward telcos as a key piece of the Physical AI ecosystem by providing the missing data layer, both for real-time coordination and training grounded in real-world 2D and 3D vectors."

In a warehouse, this could enable fleets of autonomous forklifts to coordinate their movements with human workers to avoid collisions. In a smart city, it could allow traffic management systems to track cars, cyclists, and pedestrians with enough precision to prevent accidents in real time. For robotics, it means machines can offload the resource-intensive task of mapping their environment, freeing up onboard processing for higher-level functions and enabling true swarm intelligence.

The Unseen Challenge: Privacy and Regulation

The power to track any connected device with centimeter-level accuracy, without requiring app-level consent, inevitably raises significant privacy and regulatory questions. The same technology that can find a lost medical device in a hospital could also be used to create a detailed and persistent record of an individual's movements. This capability steps into a complex arena governed by data privacy laws like Europe's GDPR and various surveillance regulations in the United States.

As control of this granular location data shifts to network operators, so too does the responsibility for its ethical use. Experts argue that robust frameworks for user consent, data anonymization, and transparency will be critical to earning public trust and avoiding regulatory backlash. The debate will center on defining the line between a valuable service and intrusive surveillance, a challenge that will need to be addressed by policymakers, carriers, and technology providers alike as this capability becomes more widespread.

For now, ZaiNar is pushing forward with strong commercial momentum. The company reports it has already secured more than $450 million in contracts and memoranda of understanding and has active deployments on multiple continents. The industry now waits to see which major players will be named in the partnerships ZaiNar has promised to announce in the coming weeks.