FogHorn Drives Industrial Edge Computing Innovation, Cutting Cloud Costs by 1,000×

FogHorn: Pioneering Edge Analytics for the Industrial Internet

Founded in 2014, FogHorn was one of the first companies to focus on edge computing for industrial IoT. Its Lightning platform has been deployed on thousands of IIoT devices and sensors, helping customers reduce cloud storage costs by as much as 1,000×.

FogHorn’s technology is already trusted by major OEMs, including Dell EMC, Google Cloud IoT Core and Amazon Web Services. Industry analysts recognize the company’s impact: Gartner named it a “cool vendor,” and Frost & Sullivan honored FogHorn with multiple awards in 2017 and 2018. The startup was also a finalist in the IoT World Awards for both “Best Industrial IoT Solution” and “Best Edge Computing Solution.”

“The paradigm of sending all the data to the cloud has really started to transform,” CEO David King says. “People are talking about needing a more powerful edge technology capability because you can’t send everything over to the cloud to derive the insights.”

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Scalable, Real‑Time Edge Analytics

FogHorn’s core offering is a scalable platform that enables real‑time local processing of high‑volume, high‑velocity sensor data from industrial machines. Applications span manufacturing, oil & gas, chemicals, mining, power & water, smart buildings, smart cities, and transportation.

FogHorn software runs on a wide range of devices—from traditional Linux gateways to Raspberry Pi boards—making it easy to integrate into existing infrastructures.

Case Studies

Daihen, a Japanese electronics manufacturer, cut manual data‑entry tasks in one factory by 1,800 after deploying FogHorn’s software.

Recently, FogHorn partnered with Honeywell to embed its Lightning platform into industrial‑grade smartphones. The Lightning Mobile app, the first edge‑computing solution built for ruggedized Android devices, lets operators reconstruct damaged barcodes using machine learning, dramatically improving field data capture.

Available in Honeywell’s internal app store and FogHorn’s private store, the app extends sophisticated analytics to the field.

Lightning 2.0: Advanced Machine Learning at the Edge

Lightning 2.0—available on preconfigured gateways and on existing industrial gateways—adds support for Predictive Model Markup Language, simultaneous multi‑stream sensor fusion, and enhanced machine‑learning capabilities. The platform automatically detects model degradation, retrains models on the edge, and redeploys them in a closed‑loop AI workflow.