Accelerating the
Industrial Internet of Things


Putting Machines to Work.

United States
201 - 1,000
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Digi was formed in 1985—long before anyone coined the term the Internet of Things. They’ve always focused on connecting things, starting with intelligent multiport serial boards for PCs. As wireless data technologies evolved, they invented right along with it, expanding their product lines with RF modules, gateways, and cellular routers to build critical communications infrastructures, plus embedded wireless system on module (SoM) and single-board computer (SBC) offerings for makers of next generation connected products.
At this very moment, millions of machines are talking to each other all over the globe. And the machines in the most critical applications communicate through Digi. Digi goes to work where the machines work: vast oil fields, intensive care units, crowded freeways and factory floors in very demanding environments. They connect the millions of sensors, valves, and components that make these critical infrastructures function.

Digi provides the essential layer of M2M and IoT communications — the remote monitoring and management that critical applications depend on. Digi puts proven technology to work for their customers so they can light up networks and launch new products. Machine connectivity that’s relentlessly reliable, secure, scalable, managed—and always comes through when you need it most.
Baxter, GE, NASA, PG&E, Schneider Electric, Avancen, Frazer-Nash, Greater Detroit Transit Agency, Flying Eye, Olsbergs, Enlight, IER, Chicago Area Commuter-Rail Agency
The IoT ONE Radar indicates a vendor's relative focus on hardware, software and services.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT hardware consultancies provide services such as solution specification, product design, connectivity setup, and partner identification.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
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