Pod Group Provides Secure Connectivity for Klevio’s Smart Door Entry Application

IoT Business News | April 24, 2019

Pod Group, a provider of platforms, software and connectivity services for the Internet of Things (IoT) and connected enterprises has announced today that it has signed an agreement to provide an IoT connectivity solution to Klevio, a provider of remote keyless access applications. The Klevio One device is a Wi-Fi / 4G enabled smart intercom and smartphone app that enables both consumers and businesses to remotely open doors to their properties from anywhere in the world. The Klevio One device operates like an ordinary intercom with a doorbell function, the ability to speak to visitors and open both private and communal doors. However, unlike an ordinary intercom, it also allows property owners to perform these functions remotely, via an app on their smartphone. It is also possible to create digital time-limited keys, perfect for short term lets or property management. The device can be easily installed on an existing door lock to make it “smart” by fitting an electric strike to the doorframe. For Klevio, the reliability and security of the connectivity is key. Since Wi-Fi cannot always be guaranteed, it is essential to have a resilient 4G connection with consistent coverage even in remote areas. Klevio has chosen to connect its smart door entry application using Pod Group’s secure, multi-network connectivity based on “Best Signal” technology. The solution includes multi-network SIM cards offering connectivity on over 600 networks in 185+ countries. The SIM automatically swaps network if the device loses signal, ensuring seamless connectivity. Pod’s connectivity management platform F2M allows customers such as Klevio to manage their SIM base globally from one centralized interface. The platform provides in-depth analysis of the connectivity of each device, as well as end-to-end network security monitoring and threat detection.

Spotlight

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.


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Spotlight

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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