Introducing: IIOT (Industrial IOT)

Introducing: IIOT (Industrial IOT)

Excerpts and graphics taken from:

Internet of things (IoT) is slowly spreading its wings beyond the home and consumer segments. Asset-heavy industries like agriculture, oil, aviation, manufacturing, mining, utilities and logistics have also begun to utilize IoT systems to improve efficiency and results. With machines and specialized sensors collecting data at every step of production, the potential gains from the Industrial Internet of Things (IoT) are enormous.

“IoT wave has been led by the industrial tech companies such as IBM, GE and Cisco, who envision the industrial focus of IIoT as a core component of their future businesses. GE, in particular, pioneered the term “Industrial Internet” when announcing its $1.5B R&D commitment back in 2012.” Source:CB Insights

More and more startups are addressing the needs of heavy industry by developing sensors, cloud platforms, networking infrastructure, as well as machine learning software to extract insights from the deluge of data.

See below a list of IIOT specific verticals and solutions.

Manufacturing & Supply Chain

CargoSense’s has developed connected black boxes for detecting the movement of containers as they are shipped. Also included here are manufacturing robots like Momentum Machines and Rethink Robotics, along with warehouse robots like RoboCV.

Extraction & Heavy Industry


Groundsensing (locating wells), Tachyus (extracting oil and gas), and Aptomar(spill safety)  manufacture sensor networks for oil and gas production. And Skycatch employs UAVs to capture data for the rendering of construction sites in 3D.

Network Infrastructure & Sensor Developers

Samsara and DorsaVi are developing industrial-grade sensors for a variety of applications including fleet management, machines, energy, and industrial wearables. Others like SigFox have built out the wireless networking for the IIoT.

Utilities & Smart Grid

TrilliantTendril, and BluePillar are smart-meter enabled solutions for utilities and large enterprises to manage usage and reporting.

Cloud Platforms

Meshify and TempoIQ are top hummingbirdSnipmanufacturers of cloud solutions.

Big Data Analytics & Machine Learning SaaS

Big data software-as-a-service companies, or machine learning technology, allow companies to find insights and derive predictive analytics such as when machines will need maintenance.

Transportation & Fleet

Telogis and Greenroad, for example, develop fleet-tracking platforms using telematics data from large trucks. Others like Metromile are changing fleet insurance by using connected hardware to prorate insurance by mileage, a technology that is already being deployed to insure Uber drivers.

IIoT Cyber security

This category includes startups that are focusing on the large task of securing connected industrial IoT applications from cyber attack. The IIoT has already suffered serious hacks; a German steel mill suffered “massive damages” after hackers accessed a blast furnace that workers could not properly shut down. Bastille is one of several startups in this space.


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Ayesha Nazir

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