Enables administrators to provision, manage, monitor, and update thousands of devices, securely and entirely over-the-air. It offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service.
The management platform that enables administrators to provision, manage, monitor, and update thousands of devices, securely and entirely over-the-air. It offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service.
Management Platform that enables administrators to provision, manage, monitor, and update thousands of devices, securely and entirely over-the-air. It offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service.
FleetTrackr enables IT departments to manage and scale edge AI deployments securely and remotely. These deployments are applicable to a wide range of use cases, ranging from retailers building intelligent stores to hospitals implementing AI to improve patient care. Instead of spending weeks planning and executing deployment plans, administrators can upgrade their AI solutions, add or delete applications, update system firmware and software, streamline operations and administrative tasks, and monitor the health metrics of devices spread over vast distances from a single control panel.
Manage edge devices everywhere, 24/7, with a robust system capable of onboarding and managing over 20,000 devices. Reduce maintenance, time, and labor costs by 30%.
Allows for easier disaster recovery and backup by enabling the rapid deployment & management of edge devices.
Detects anomalies and provides real-time monitoring of resources, statuses, data, and applications for all devices.
Integrated security and end-to-end privacy with role-based access control.
Control your edge devices through cloud or on-premises instances with top notch scalability, high availability and impressive performance.
Track key performance indicators (KPI) for your devices over time by monitoring device health metrics, CPU, GPU usage, storage details, and network performance.
Simplify AI lifecycle management by enabling users to program, reprogram, push, and schedule updates remotely on an easy-to-use interface.
Receive alerts on hardware and software anomalies from FleetTrackr, shortening the time taken to resolve problems. FleetTrackr’s predictive maintenance machine learning algorithm can also predict device Time-to-Failure.
Streamline issue management by raising tickets and assigning them to team members, managing device maintenance tasks, and tracking ticket lifecycles with the issue management center.
Minimize downtime and solve critical problems with greater efficiency. Administrators can access and control crashed or powered-down edge devices when the primary (“in-band”) network is unavailable or when devices are deployed in inaccessible locations.
Centralize edge AI management by grouping edge devices and provisioning containers on the FleetTrackr interface. Update or restart your container with a single click in the application management center.
Track and manage order statuses and maintain software packages and configurations.
Track devices’ key performance indicators (KPI) over time by monitoring device health metrics, CPU, GPU usage, storage details, and network performance.
Simplify AI lifecycle management by enabling users to program, reprogram, push, and schedule updates remotely with an easy to use interface.
Receive alerts on hardware and software anomalies from FleetTrackr, shortening the time to resolve problems. FleetTrackr’s Predictive Maintenance Machine Learning Algorithm can also predict device Time-to-Failure.
Streamline issue management process by raising tickets and assigning team members to responsible issues, managing device maintenance tasks, and tracking ticket lifecycle using the issue management center.
Minimize downtime and resolve critical problems quickly by allowing administrators to access and control crashed or powered-down edge devices when the primary (“in-band”) network is unavailable or when devices are deployed in inaccessible locations.
Centralize edge AI management by grouping edge devices and provisioning containers easily using the FleetTrackr interface. Update or restart your container with a single click using the application management center.
Track and manage order status and maintain software packages and configuration.
Simplifies the management and orchestration of distributed edge devices with the scale and resiliency of a turnkey AIoT management platform.
Telcos interested in leveraging AI capabilities and deploying AI to the edge can realize and drive digital transformations.
Smart retailers can harness the power of AI to deploy critical solutions for forecasting, digital twins and simulation, logistics, inventory management, package lifecycle tracking, and more.
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