FogHorn

Edge Intelligence for Industrial and Commercial IoT
United States
2014
Private
< $10m
11 - 50
Open website
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications.

FogHorn’s software platform brings the power of machine learning and advanced analytics to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and predictive maintenance use cases.
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Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Software that focus on securing devices, machines, and communications between them.
Services
Number of Case Studies1
Pump Cavitation Detection
Pump Cavitation Detection
Cavitation is a condition can occur in centrifugal pumps when there is a sudden reduction in fluid pressure. Pressure reduction lowers the boiling point of liquids, resulting in the production of vapor bubbles if boiling occurs. This is more likely to happen at the inlet of the pump where pressure is typically lowest. As the vapor bubbles move towards the outlet of the pump where pressure is higher, they rapidly collapse (return to a liquid state) resulting in shock waves that can damage pump components.
Number of News Items47
5 Machine Intelligence Trends Of 2019
Forbes - 21 Dec, 2019
Referenced Companies: Google, Amazon Robotics, Intel, Microsoft, Qualcomm
Keywords: Deep Learning, Edge Intelligence, Sensors, Edge Computing, Predictive Maintenance
How data quality makes IoT projects more profitable
M2MNow - 28 Nov, 2019
Referenced Companies: FogHorn
Keywords: Edge Computing, Edge Intelligence, Sensor, FUSE, Automated Systems
Firms Will Look To Edge Computing To Move Beyond POC Benefits
ValueWalk.com - 20 Nov, 2019
Referenced Companies: Exact, FogHorn, Carbon
Keywords: Edge Intelligence, Edge Computing, Data Processing, Sensors, Sensor
Number of Podcasts3
EP015a: At the Edge of IoT Intelligence - An Interview With Foghorn's David King
Tuesday, Oct 24, 2017

Fog computing is a concept of bringing a layer of computing power closer to the edge of an enterprise's network and was a term coined by Cisco several years ago as part of their "Internet of Everything" pioneering initiative. While Cisco succeeded at the networking element of fog computing, that left the whole computing side of the equation unanswered. In the first episode of this three-part series, we chat with a company that was formed with the core objective of finding the answers to this question. We are pleased to welcome David King, CEO of FogHorn Systems to the show who will be telling us more about the company and how they are working hard to bring IoT intelligence closer to the edge.

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EP015b: Cutting-edge Edge Technology - An Interview With Foghorn's David King
Thursday, Oct 26, 2017

There has been increasing interest in recent times in the IoT world with regards to the edge domain of the IoT technology stack. In particular, the focus has been on moving increasing compute power to the edge domain in order to improve real time IoT application response with big firms such as Dell doubling down on the edge with their recent IQT initiative. In the second part of this episode, we are happy to be joined again by Foghorn's CEO David King who will do a deep dive into the technology driving the latest advancements in edge analytics. 

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EP015c: Navigating The IIoT With Edge Analytics - An Interview With Foghorn's David King
Friday, Oct 27, 2017

The Industrial IoT world is seeing soaring adoption rates of edge analytics solutions as a means of staying ahead of the IoT curve. In fact a recent report by Transparency Market Research estimated that the the global edge analytics market is expected to be worth US$25.569 billion by 2025. It is vital that your business is aware of the benefits that edge analytics solutions can bring to your firm's IoT portfolio. In the third and final part of this episode, Foghorn's CEO David King who will run us through a use case of how their edge analytics technology is being implemented. 

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Number of Memberships1
EdgeX Foundry
EdgeX Foundry
EdgeX Foundry goals include:-Build and promote EdgeX as the common open platform unifying Internet of Things (IoT) edge computing-Enable and encourage the rapidly growing community of IoT solutions providers to create an ecosystem of interoperable plug- and-play components around the EdgeX platform architecture-Certify EdgeX components to ensure interoperability and compatibility-Provide tools to quickly create EdgeX-based IoT edge solutions that can easily adapt to changing business needs-Collaborate with relevant open source projects, standards groups, and industry alliances to ensure consistency and interoperability across the IoT
Number of Similar Suppliers8
ionSign Oy
ionSign Oy
ionSign is a close-knit group of IoT enthusiasts: coders, engineers and developers.ionSign’s products are electronics packed with smart embedded software. They utilize cellular and LAN networks, field buses and RF technologies for collecting and transferring data from commercial and industrial settings. We work closely with system integrators and data analyst firms to provide end-to-end IoT solutions.Besides fitting many purposes straightaway, ionSign’s products provide a versatile platform for case specific device development. We provide it for you.
Wurldtech (GE Digital)
Wurldtech (GE Digital)
Wurldtech, a GE company, is in the business of protecting critical infrastructure from cyber attack. Wurldtech also provides consulting and professional services, as well as managed security services. Wurldtech helps operators and device manufacturers mitigate operational technology threats.Wurldtech works with both device manufacturers and system operators to provide protection for critical infrastructure against persistent and dynamic cyber threats. Customers rely on Wurldtech products, services and certifications to help reduce the risks and costs of a cyber attack, maximize system uptime and meet compliance mandates.
I.D. Systems
I.D. Systems
In the Digital Age, data is the backbone of the enterprise. Getting the metrics you need to optimize your asset management system is the first step. But to truly drive meaningful improvement, you need to go beyond collecting the numbers. You need analysis that gives you insight into your operations and identifies opportunities for improvement.What are we about? Connections. We connect you to your assets, your employees, and your customers. We connect your business operations to your big data. We connect your fleet to the Internet of Things. And most importantly, we stay connected with our customers, our roots, and our core values.I.D. Systems was founded by two Stanford University engineering classmates in 1993 to explore how radio frequency identification (RFID) technology could be used to manage data from vehicular fleets. In 1995, the U.S. Postal Service (USPS) saw the value in collecting and analyzing metrics gathered from testing scenarios, then using that information to optimize delivery operations. They awarded I.D. Systems a $6.6 million contract to develop and implement a custom tracking system, and we were off and running. By 1997, we found ourselves filling a market need that most fleet operators didn’t know they had. And by 1999, our technology had proven so successful that we took the company public.Compared to today, the amount of data we were able to collect in the 90s was pretty small. As wireless technology exploded, we dedicated our resources and our expertise to research and development. Our customers needed deep insights, and we were committed to providing them. That commitment hasn’t wavered since.Over twenty years later, our solutions have grown more sophisticated as we firmly settle into the Digital Age. Today, there’s no lack of data. The Internet of Things has connected the world, and it produces massive amounts of information that can be unmanageable. The challenge is harnessing that data, finding what’s important, and using detailed analysis to drive continual improvements in operations and profit.
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