Everything Starts at the Edge

The digital revolution begins in the physical world. And so do we.

EdgeIQ is a distributed software platform that helps hyperconnected and highly distributed businesses actually manage their physical, real world systems and products and the data they produce. We do this, first and foremost, at the edge.

Enterprises, Hardware OEMs, Software Vendors and Systems Integrators all rely on EdgeIQ to harness the power of the edge computing, simplify and scale global device management and orchestrate the interaction between the physical and digital domains - the Edge and the Cloud, any cloud. 


Discover Our Solutions

Device Lifecycle Management

Device Lifecycle Management (DLM) from MachineShop provides the technology to manage connected assets and products from configuration, administration, monitoring, updating and even decommissioning. Our turn-key oering allows product management, engineering and support organizations to focus on the core functional and user experience priorities.

Edge Data Management

MachineShop makes it easier for organizations to capture, understand and federate critical operational data - where and when it is generated. Removing latency in key processes is one of the most valuable benefits of edge computing. Edge Data Management also means providing normalized data to upstream services and applications - wherever they are.

Edge to Cloud Orchestration

The Edge and Cloud are two highly complementary and distributed nodes in a well balanced enterprise architecture. MachineShop’s Orchestration services automate key workflows and integrations that allow organizations to achieve the perfect balance in their hyperconnected and highly distributed worlds

A United Platform to Manage Your Connected and Distributed Busness

EdgeIQ is a distributed software platform that delivers real time computing power at the edge while oering remote and global configuration and integration management from anywhere in the world.

Brilliantly Simple Edge Computing

Balance your computing resources, cut costs and decision-making latency.

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