ZaiNar turns existing Wi-Fi and 5G networks into real-time positioning systems. Rather than requiring dedicated tracking hardware such as UWB anchors, Bluetooth beacons, or cameras, its software analyzes radio signals that connected devices already transmit to maintain their wireless connections, then computes location on the network side.

On 5G networks, ZaiNar listens to the Sounding Reference Signal, a standard uplink signal that every connected device transmits 100 to 500 times per second during normal network operation. Multiple network radios receive slightly different versions of the signal, and the software measures timing and phase differences across receivers to triangulate the device's position. This approach requires sub-nanosecond clock synchronization across network infrastructure because radio waves travel about 30 centimeters per nanosecond, making small timing errors a source of large location errors.

Positioning is computed in infrastructure-side software rather than on the tracked device. Phones, robots, forklifts, and IoT sensors do not need to run a ZaiNar application, receive a firmware update, or consume additional battery. The network locates compatible connected devices and places them in a continuously updated coordinate system, creating a shared spatial map.

Operators can use that map to query the nearest available infusion pump in a hospital, identify rented excavators that have been idle for days at a construction site, or draw virtual geofences around crane zones or blast areas and receive alerts when a worker enters. Robot fleet software can also consume the map to coordinate dozens of machines without reconciling each robot's onboard view of its surroundings.

ZaiNar reports sub-meter accuracy broadly and sub-10-centimeter accuracy in selected 5G deployments, with latency around 20 milliseconds and operation on as little as 10 MHz of spectrum. The system works indoors, outdoors, underground, and through walls. Location updates accumulate into what ZaiNar calls Environmental Memory, a historical spatial-data layer for analytics, digital twins, simulation, and robotics training.

In September 2026, ZaiNar joined Arm Total Design for Physical AI as a founding location partner and said it was optimizing its algorithms and signal processing for Arm-based compute. The partnership aims to make the shared location layer easier to integrate into robotics systems; it complements the cameras and other perception running on each robot rather than replacing them.

ZaiNar sells network-side positioning technology to mobile-network operators, private wireless operators, and enterprises running physical sites such as hospitals, construction projects, and industrial facilities. The buyer is paying for continuously updated locations that support asset finding, equipment utilization, safety zones, and coordination across connected machines.

Spatial data provides another commercial product alongside positioning itself. ZaiNar says it has tens of millions of dollars in contracts for movement data used in physical-AI models and simulations, but these contract values do not establish recognized revenue or a recurring revenue run rate.

Reusing compatible wireless networks can reduce the need for a separate deployment of tracking tags and anchors, but the software still has to be integrated with network equipment and customer applications. Engineering, signal processing, network qualification, and field deployment are therefore important costs; extending a working integration across more sites could spread those costs over a larger commercial relationship.

Once the positioning layer is installed, each workflow generates movement history that can improve analytics, feed digital twins, and give newly deployed robots inherited knowledge of the site. A shared map and the customer's historical site model, integrations, and safety rules can make replacing the location provider more disruptive than changing a standalone tracking application.

ZaiNar competes with network-equipment vendors and dedicated real-time location systems that help enterprises locate connected devices and assets. The central choice is whether to derive precise positions from existing wireless infrastructure, buy a separate tracking network, or accept location features bundled with a broader network contract.

Ericsson launched integrated 5G Advanced location services in January 2026, advertising sub-meter indoor and sub-10-centimeter outdoor positioning through its existing RAN and core network. In August 2026, a demonstration with MediaTek achieved decimeter-level accuracy over a commercial 5G network, indicating that standardized RAN-plus-chipset positioning may meet the requirements of many use cases without proprietary middleware.

Nokia bundles positioning with its Digital Automation Cloud and MX Industrial Edge, packaging connectivity, edge compute, devices, and tracking into private-wireless procurements. A factory or port operator may accept Nokia's positioning performance rather than contract separately for a higher-performance location layer. Both incumbents can discount location within broader infrastructure deals, pressuring standalone vendors on price and procurement convenience.

Cisco Spaces competes in hospitals, campuses, and manufacturing by combining Wi-Fi access points with BLE, UWB, and NFC tags, maps, occupancy analytics, and workflow applications. Its July 2026 asset-tracking launch added an integrated tag with four-plus-year battery life. Location features are bundled into tiered Cisco and Meraki wireless licenses, making them effectively free for existing customers.

HPE Aruba similarly exposes Wi-Fi-client and asset-tag locations through its Analytics and Location Engine. For customers requiring only room- or zone-level accuracy, these incumbent features may be sufficient and less expensive than a dedicated positioning layer. ZaiNar has an advantage when customers need sub-meter or centimeter-level precision without deploying a parallel anchor-and-tag network.

Zebra MotionWorks aggregates UWB, BLE, passive RFID, GPS, and Wi-Fi into workflow and asset-management software, backed by deployment experience and a partner ecosystem spanning more than 100 countries. Quuppa uses Bluetooth Angle of Arrival with dedicated locators and, through a 2026 partnership with InPlay, is targeting tag costs of €1 to €2 per unit, narrowing ZaiNar's hardware-cost advantage in high-volume logistics.

Humatics delivers sub-millimeter positioning for robotics and semiconductor handling but requires proprietary sensing hardware. Point One Navigation and other RTK/GNSS vendors compete outdoors but face indoor coverage limitations. NextNav operates a dedicated terrestrial transmitter network on licensed spectrum for resilient 3D positioning and timing, with public-safety distribution and government testing credentials that ZaiNar has not yet matched. Verizon Hyper Precise Location combines RTK, 5G, and edge infrastructure and could compete with ZaiNar or serve as a distribution channel.

Gravis Robotics and similar companies combine LiDAR, cameras, RTK/GNSS, edge compute, and Wi-Fi for construction equipment autonomy. These vision-and-sensor stacks identify unconnected objects, interpret visual context, and operate locally during network outages, capabilities that ZaiNar does not replace.

ZaiNar instead provides a shared coordination layer across connected devices, while cameras and LiDAR handle immediate local perception and safety-critical braking.

ZaiNar can extend enterprise asset positioning into spatial data for robot learning, carrier-distributed location services, and new geographic markets. These opportunities would add model developers, telecom service buyers, and customers in new territories to its direct site-deployment business, but require integrations and commercial agreements beyond proving location accuracy.

Each location update ZaiNar produces becomes part of a time-stamped movement history covering worker paths, equipment handoffs, congestion patterns, and robot routes. This Environmental Memory layer can be sold as training data for robotics and Physical AI systems, simulation input for digital twins, and operational analytics for process optimization.

ZaiNar reports tens of millions of dollars in contracts related to this spatial data. Packaging anonymized movement datasets through APIs and developer tools would shift the company from selling coordinates to selling data used by autonomous systems, with demand tied to new robot fleets, warehouse automation projects, and AI training pipelines.

Telecom operators offer ZaiNar a distribution channel beyond direct enterprise sales. A single carrier integration could make the positioning engine available across an entire metropolitan network, allowing the operator to sell location-as-a-service to enterprises, developers, public agencies, and robotics providers without ZaiNar closing each customer individually.

Private 5G offers a near-term entry point. Factories, ports, mines, and hospitals operating on 10 to 40 MHz of locally available spectrum often cannot reserve bandwidth for dedicated positioning signals. ZaiNar derives location from existing connectivity signals on narrow spectrum, addressing this constraint and potentially making precise positioning a standard feature of private 5G deployments rather than a separate procurement.

ZaiNar opened a Tokyo office in April 2026 as its APAC hub and was selected for a Tokyo Metropolitan Government green-transformation market-entry program. Japan's dense 5G footprint, GPS-challenging urban canyons, advanced manufacturing base, and robotics adoption provide potential use cases, with South Korea, Singapore, Australia, and Southeast Asian ports as adjacent markets.

The same positioning infrastructure also applies to verticals ZaiNar has not yet deeply penetrated, including ports and container terminals, airports, rail yards, underground mines, data centers, and defense installations. Resilient positioning and timing is another potential market: GPS jamming and spoofing threaten defense, public safety, energy infrastructure, and financial networks, and ZaiNar's sub-nanosecond synchronization technology could serve as a terrestrial backup for satellite-based PNT.

Incumbent bundling: Ericsson, Nokia, Cisco, and HPE can package positioning into broader infrastructure contracts at marginal cost, while standardized 3GPP Release 18 positioning capabilities in commercial RANs may prompt carriers to favor native functionality with lower integration risk over a separate vendor relationship.

Validation gap: Most published performance, deployment, and contract figures are company-reported, with no named commercial customers, independent field benchmarks, or public separation of binding backlog from non-binding MOUs disclosed as of August 2026, making it difficult for buyers and investors to verify whether accuracy, range, and deployment economics hold across heterogeneous production environments.

Privacy and surveillance exposure: Network-side positioning can locate devices without an application or opt-in on the tracked device, but employee unions, privacy regulators, hospital compliance teams, and consumer advocates may impose consent, retention, and data-governance constraints that slow or restrict deployments in verticals such as healthcare and construction.