Billions of IoT devices are being deployed in remote locations far from the centralized cloud where data is processed. Inadequate storage capabilities, high haul-back costs, lack of compute capabilities, and complex asset management are limiting the effectiveness of traditional enterprise network configurations in this new data-driven world.

Current centralized cloud architectures are not capable of delivering real-time decision making or cost-effective data collection, transport or storage. However, a unified distributed network with standardized interconnectivity does not exist and deploying new infrastructure to remote locations is cost-prohibitive. Even if the network did exist, enterprises would still struggle to rapidly deploy and manage these assets.

Data loss can impact revenue

Network transport costs are high

Lack of compute capability compromises analytics

Connected devices generate a massive amount of data

A "store-process-forward" solution that is scalable is required at the edge


The deployment of proper networks, infrastructure and applications at the edge would give enterprises the ability to collect, analyze, manage and respond to the data generated by remote IoT devices. In addition, data could be cost-effectively stored regionally or transported back to a private or public cloud to be used for other mission-critical initiatives.

ConEx EdgeView gives enterprises the ability to centrally manage applications and data from a single pane of glass

For enterprises using connected devices in remote locations for real-time decision making, ConEx provides local store and forward capabilities, alerting services, automated data mirroring and multiple connectivity options.


Trilogy is building an extensive network to deliver secured connectivity to ConEx EdgeHub, Public, and Private clouds.

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