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FogHorn

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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  • SNAPSHOT
  • United States
    2014
    Private
    $10-100m
    51 - 200
    Open website
  • TECHNOLOGY STACK
  • FogHorn’s Tech Stack maps FogHorn’s participation in the IoT tech stack.
    • Application Layer
    • Functional Applications

    • Cloud Layer
    • Platform as a Service
      Infrastructure as a Service

    • Edge Layer
    • Automation & Control
      Processors & Edge Intelligence
      Actuators
      Sensors

    • Devices Layer
    • Robots
      Drones
      Wearables
    • Supporting
      Technologies
    • Analytics & Modeling
      Application Infrastructure & Middleware
      Cybersecurity & Privacy
      Networks & Connectivity
    Technological Capability
    None
    Minor
    Moderate
    Strong
  • IOT SNAPSHOT
  • FogHorn’s IoT Snapshot maps the range and focus areas of FogHorn’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
    Technologies
    Analytics & Modeling
    Edge Analytics
    Machine Learning
    Use Cases
    Edge Computing & Edge Intelligence
    Functions
    Discrete Manufacturing
    Process Manufacturing
    Industries
    Automotive
    Buildings
    Cities & Municipalities
    Healthcare & Hospitals
    Mining
    Oil & Gas
    Renewable Energy
    Retail
    Transportation
    Utilities
  • IOT SOLUTIONS
  • KEY CUSTOMERS
  • CASE STUDIES
  • FogHorn: 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.
  • HARDWARE
  • SOFTWARE
  • PODCASTS
  • 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." />
    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. " />
    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. " />
  • MEMBERSHIP
  • EdgeX Foundry
    EdgeX FoundryTM is a vendor-neutral open source project hosted by The Linux Foundation building a common open framework for IoT edge computing. At the heart of the project is an interoperability framework hosted within a full hardware- and OS-agnostic reference software platform to enable an ecosystem of plug-and-play components that unifies the marketplace and accelerates the deployment of IoT solutions.EdgeX is an important enabler for interested parties to freely collaborate on open and interoperable IoT solutions built using existing connectivity standards combined with their own proprietary innovations.
  • INDUSTRIES
  • FUNCTIONS
  • SIMILAR SUPPLIERS
  • Litmus Automation
    Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io.
    Augury
    Augury is on a mission to give our customers superior insights into the health and performance of the machines they use to make products, deliver services and improve lives.We are all surrounded by machines and rely on them in everything we do – from the buildings in which we live and work, the goods that we consume, to the power and running water that we use. There is significant cost and effort that goes into designing, manufacturing, installing and maintaining the machines that enable and support our daily lives. We combine Artificial Intelligence and the Internet of Things to make machines more reliable, reduce their environmental impact, and enhance human productivity.
    Falkonry
    Falkonry is the leading provider of predictive operations technology for companies looking to achieve significant improvements in the uptime, performance, quality and safety of their operations. Falkonry's "pre-packaged" Machine Learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry LRS complements a users domain expertise with predictive analytics to more deeply understand their operations, and can scale across assets, processes and operations. Our ready-to-use Machine Learning system, called Falkonry LRS, can be deployed and used directly by practitioners such as manufacturing engineers or process engineers, and does not require data scientists. In fact it is like a "data scientist-in-a-box" and can be deployed both On-Premises or in the cloud.
  • PARTNERS
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