The concept of IoT is hardly new, as most advanced manufacturers have been equipping their factories and warehouses with networked sensors for decades. It's the connectivity between 'things' that drives today's IoT discussions, as the exponential growth in IoT-connected devices creates network bottlenecks, bandwidth limitations, data latency and increasing infrastructure costs when using traditional, hierarchical network architecture. Manufacturers require real-time visibility into factory processes to maintain high levels of production efficiency. This requires localized access, storage and analytics only possible with the latest in hyper-converged edge computing technology.


Any discussion on computer networking and data exchange inevitably focuses on IoT and how connected ‘things’ will help create a more quantifiable and measurable world. For manufacturers, these ‘things’ are typically the sensors, electronic controls and automated equipment that help control a process and drive efficiency, quality and flexibility—areas that have the biggest impact for any operation. With industry forecasts sizing IoT for the manufacturing sector as large as $30 billion by 2020, it’s easy to appreciate just how much data and network traffic will be generated by these connected devices and the impact it would have on a traditional network architecture where everything is sent upstream to a cloud data center. The inevitable latency and bandwidth costs will become very significant challenges that will influence how businesses adopt and benefit from the IoT opportunity.

A smarter solution for a typical manufacturing legacy hierarchical data center model is to distribute computing power and storage at the edge of the network so that transport latency and bandwidth requirements are minimized. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source so that process visibility is as close to real-time as possible.


Industrial IoT solutions from Envigilant are built around a robust collection of open technologies. This incorporates the power of a strong core of stellar, high-availability IP networking infrastructure, specialization in edge computing and supported with sophisticated managed services.

Data Acquisition and Communication
IP-enabled sensors and devices (including Programmable Logic Controllers) have the potential to provide valuable data. Envigilant provides the data acquisition and network communication capabilities to get those data to systems and users that can actually make use of them.                                   

Data Exchange
Data that comes from sensors or from other data entry systems can be locked in silos, severely limiting its usefulness. Envigilant has an application-layer data exchange capability that utilizes standards to unlock the value in your data by sharing it with other applications and exchange partners.

Application Integration

Our edge computing platform offers scalable compute and storage resources, allowing you to create a private cloud for hosting a wide array of applications, all of which are virtualized for optimum performance. Using a combination of ruggedized, field-deployable servers integrated with high-availability data center machines gives you the ability to extend your cloud out to all of your users.

Visualization and Analytics
Envigilant provides browser-based, geographic visualization tools along with analytic capabilities to unlock the value of your data.


As well as providing hardware and software services for state-of-the-art edge data exchange and analytics, Envigilant services include complete project management from initial project planning, through systems design and engineering, to deployment, testing and support. A sophisticated suite of managed services provide customers with added-value once projects are fully deployed and in production.