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 robust management platform for seamless over-the-air provisioning, monitoring, and updates of thousands of devices. Streamline deployment and control of edge AI setups via a hybrid-cloud service.
FleetTrackr empowers IT departments to securely and remotely manage and expand edge AI deployments. These applications span various use cases, from smart retail environments to AI-enhanced healthcare in hospitals. Instead of lengthy deployment efforts, administrators can effortlessly upgrade AI solutions, manage applications, update firmware and software, simplify operations, and monitor device health across extensive distances from a unified control panel.
Efficiently manage edge devices around the clock, utilizing a robust system designed to onboard and oversee over 20,000 devices. Achieve a 30% reduction in maintenance, time, and labor expenses.
Simplify disaster recovery and backup procedures by enabling swift deployment and management of edge devices.
Ensure seamless operations with real-time anomaly detection and monitoring of resources, statuses, data, and applications across all devices.
Benefit from integrated security and end-to-end privacy through role-based access control.
Exercise control over edge devices via cloud or on-premises instances, offering exceptional scalability, high availability, and remarkable performance.
Monitor key performance indicators (KPIs) like device health metrics, CPU/GPU usage, storage info, and network performance to track device performance over time.
Simplify AI lifecycle management through remote programming, reprogramming, and scheduling of updates via a user-friendly interface.
Efficiently handle issues by raising tickets, assigning tasks, managing device maintenance, and tracking ticket progress via the issue management center.
Enhance problem-solving efficiency by remotely accessing and controlling crashed or powered-down edge devices, particularly when primary networks are unavailable or devices are in remote 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.
Effortlessly monitor order statuses, maintain software packages, and manage configurations with FleetTrackr's integrated order management system.
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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