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Edge computing is a distributed computing paradigm that brings computation and data storage closer to the network's edge, closer to where the actual data is generated or consumed. This improves overall system performance, reduces latency, and increases security. RuggedEdge offers two devices, EdgeONE and EdgeTWO, that foster connectivity for endpoints that produce or consume data and can also act as the compute "brain" in the field, including harsh or unsafe environments, for a number of intelligent devices or sensors.

The challenges of edge computing include the need for a distributed architecture, secure and reliable communication between the edge and the cloud, and a skilled workforce to manage and operate edge computing systems. When customers engage with RuggedEdge, they gain access to a device that addresses these challenges and a team of professionals who can help advise on how best to navigate these and other proprietary obstacles.

Edge computing works by delegating some of the processing and data storage tasks normally performed in the cloud to devices closer to the “point-of-use” or edge of the network. This is done using various technologies, and the RuggedEdge offerings provide customers with a best-in-class solution with an Enterprise Android operating system, a Qualcomm QCM6490 processor, with 4GB RAM and 64GB of internal memory.

Edge computing can be used for a variety of use cases. At the beginning of 2023, a significant adoption trend is taking place in the industrial sector because of the maturity of numerous sensors and devices that comprise what is referred to as the Industrial Internet of Things or IIoT.  Examples of technologies that leverage edge computing in the IIoT include a) real-team analytics for any machine, tool, or worker, which is used as the baseline for predictive and preventative maintenance; b) industrial automation to include smart metering, asset tracking, and smart irrigation; c) extended reality wearable devices. RuggedEdge’s EdgeONE and EdgeTWO devices empower these and other valuable use cases in a simple, secure, reliable, and scalable way.

a) Gas Sensors; b) Wearable Computing Devices and Accessories; c) Temperature Guns; d) Smart Tools (torque wrenches, etc.); e) Ultrasonic Probes; f) Electronic Meters; g) High Resolution and IR Cameras; h) Hearing Protection; i) Pressure Calibrators; j) Scanners; k) PPE Tracking and Compliance; l) Asset Tracking and Maintenance.

Currently, no one! RuggedEdge is the only company in-market that provides an intrinsically safe [Class 1, Division 1, ATEX zone 1] certified ruggedized mobile device specifically designed for IIOT and AI use cases.

See our pricing page for the latest pricing.

Currently, no one! RuggedEdge is the only company in-market that provides an intrinsically safe [Class 1, Division 1, ATEX zone 1] certified ruggedized mobile device specifically designed for IIOT and AI use cases.

The need for more reliable connectivity for the Industrial Internet of Things (IIoT) is the single biggest operational challenge facing industrial, manufacturing, and enterprise environments today. This is particularly acute in hazardous workspaces, where Wi-Fi connectivity is often unavailable. There’s a growing need for compute at the Edge, close to equipment and day-to-day operations that can still access the Cloud. New technology advancements require high-speed, low-latency access points compatible with public and private 5G networks. Technical solutions at the Edge must address more than just connectivity, they must also provide continuous monitoring of sensors with AI insights obtained from the data collected. We built RuggedEdge to address all of these challenges, and the EdgeONE and EdgeTWO devices provide a second-to-none, out-of-the-box solution to these hard problems for small, medium, and large companies.

The EdgeONE and EdgeTWO devices are purpose-built, industrial-grade, intrinsically safe edge computing hubs with 5G and enterprise-grade Wi-Fi 6 and Wi-Fi 6E connectivity ready out-of-the-box.

Key players in cloud technologies, including Amazon (AWS), Microsoft (Azure), Google (GCP), IBM (Cloud), Cisco, Intel, Dell, and HPE, are all companies that benefit from RuggedEdge’s entry into the industrial and enterprise market. The EdgeONE and EdgeTWO devices help small, medium, and large companies gain increased reach with a wireless compute platform that can operate seamlessly in the field and harsh environments with industrial applications that can now be connected to those traditional vendors’ cloud offerings.

The EdgeONE and EdgeTWO hardened devices can be used as a node for private 5G Networks, and an edge compute hub for IIoT devices and sensors. Mesh networks are a type of wireless network that allows devices to communicate directly with each other without the need for a central hub or server, and this makes them ideal for applications that require high availability and fault tolerance, such as industrial automation and factories of the future. Edge compute architectures bring computation, data storage, and access closer to the network's edge, where data is generated or consumed. With RuggedEdge’s certified Class 1, Division 1, and ATEX 1 approved rating, our devices can provide uninterrupted connectivity to users in industries that traditionally couldn’t access mobile technology for safety reasons. This now improves computing performance, reduces latency, and increases security for users in industries that worry about explosive environments, including those players in the mining, refining, and healthcare sectors.

First,  no other devices in the market are certified for Class 1 Division 1 and ATEX Zone 1 intrinsically safe environments. Next, with RuggedEdge’s EdgeConnect software, companies can pair leading off-the-shelf PPE safety devices to the EdgeONE and EdgeTWO devices without any special training, and companies can now keep track of the battery life and functionality of the PPE devices – alerting both the user and management to any PPE malfunctions or safety risks.

As more remote-expert, hands-free, head-worn applications mature for the deskless worker, there will be an increased need to off-load compute from the wearable to an ultra-near-edge device. This is the sweet spot for the EdgeONE and EdgeTWO devices as they have the Qualcomm QCM6490 embedded within them and leverage the long-term support for the Android OS and security updates. RuggedEdge’s technology provides a “wireless tether” for wearable developers, as the QCM6490 comes with a five 4-lane channel state information (CSI) and a D-PHY 1.2 (which is the differential signaling physical layer that supports data rates up the 2.5Gbps per lane) and C-PHY 1.2 (which is the single-end signaling physical layer that supports data rates up to 6.5Gbps per lane) and both are low-power and scalable. Spatial computing application developers can now use RuggedEdge’s offerings to employ lightweight wearables with better performance.

According to IoT Evolution World, the top 5 challenges are:
·     Connectivity – mission-critical devices are expected to work without fail
·      Continuity – understanding how peripherals consume power and extend battery life
·      Compliance – devices must adhere to radio standards and global regulations
·      Coexistence – optimizing how devices will perform in a mixed signal environment
·      Cybersecurity – 70% of breaches originate from endpoints. A compute HUB can better secure devices

RuggedEdge’s offerings provide developers with a platform to address all five, and companies that integrate EdgeONE or EdgeTWO into their workforces have a competitive advantage.

Customers own their own data, and RuggedEdge doesn’t have a business model that captures and resells user data. Further, security and privacy are of the utmost importance to RuggedEdge, and our products and services ensure that users can control and manage all security features that come with RuggedEdge’s products.

1. Remote asset monitoring and continuous monitoring of smart devices in-the-field
2. PPE compliance & inspection including: lockout-tagout; working-at-heights; man-down; confined space; and mustering
3. Industrial IoT-based process automation
4. Remote asset control and alarms
5. Vehicle fleet management and preventative maintenance
6. Key asset location tracking and health status
7. Predictive maintenance for plant performance optimization at the individual machine level
8. Industrial IoT quality control and management at sample rates tailored as needed
9. Environment conditions and goods conditions monitoring and measuring in-transit
10. Group communications using digital push-to-talk and remote collaboration

1. Configure worker profiles and associate end users with the specific devices and tools needed for their jobs
2. Worker touches the RuggedEdge device to badge, and they’re ready to go
3. The RuggedEdge device authenticates the user & prompts the worker to pair pre-assigned tools, devices & safety gear
4. Work shift starts, and if anything is wrong, a visual, audible, and tactile notification is provided, otherwise there is no need to interact with the RuggedEdge device

Yes! Android-based IoT devices, iOS-based IoT devices, and open-source IoT devices like Matter (formerly the Zigbee Alliance) are compatible with RuggedEdge’s offerings. They can leverage the public and private 5G, 4G LTE, and Wi-Fi 6 and 6E benefits inherent in all RuggedEdge devices

Yes. Price breaks come at the 10-, 50- and 100-unit levels. Please reach out to sales@ruggededge.ai if you are interested in volume purchases.

Yes. If you are interested in becoming a collaboration partner or distribution partner, please drop us a note to sales@ruggededge.ai.

A)  75 percent: Gartner predicts that by 2025, three-quarters of enterprise-generated data will be created and processed at the edge – outside a traditional centralized data center or cloud. That’s up from just 10 percent in 2018!

B)  1 millisecond (ms): That’s long been the promise of combining 5G networking with edge computing: near-zero latency. That’s 1/1000th of a second – or about the length of the typical camera flash. That’s far from reality today. Verizon, for example, clocked the latency of its earliest 5G network rollouts in Chicago and Minneapolis at less than 30 ms. IBM points out that edge computing (moving workloads to network edge locations in the network facilities) can further shave latency by 10-20 ms. But experts expect it to be some time before 1-ms latency is possible in real-world conditions.

C)  29 billion: The projected number of connected devices all vying for attention on the global network in 2022, according to the Telecommunications Industry Association. More than half of those (18 billion) are IoT devices.