After receiving its initial $12 million in Series A funding in July, FogHorn Systems formally announced this week the general availability of its new Lightning software platform for real-time analytics and Internet of Things (IoT) focused applications running on ultra-small edge footprint physical devices. Suffice to indicate that this will not be the only time our blog will provide commentary related to FogHorn along with other innovative IoT technology players that are now emerging to support such needs.

According to the announcement, the technology allows application developers, systems integrators and manufacturing engineers the ability to quickly and easily deploy high-performance edge analytics for industrial operations and industrial IoT use cases.

The name FogHorn may have some familiarity with our Supply Chain Matters readers since a form of this vendor’s technology has been validated as part of General Electric’s Predix® Industrial Internet operating environment. The company’s Series A funding was led by both March Capital and GE Ventures with additional participation by Robert Bosch Venture Capital, Yokogawa Electric Corporation and Darling Ventures. One of GE’s existing “Brilliant Factories” that produces industrial grade electrical products used in power grids is utilizing FogHorn to apply real-time analytics to help maximize manufacturing yields from data emitted by hundreds of assembly line sensors.

Indeed, the best way to describe FogHorn is an emerging provider of edge or “fog computing” intelligence for industrial and commercial IoT applications. This author had the opportunity to speak with some of the senior management team this week and I was impressed on viewing some of the early adoption customer use cases deploying its FogHorn Lightening software platform in areas such as factory yield optimization, locomotive fuel efficiency, industrial pump cavitation alerting and wind energy forecasting.

The differentiator of FogHorn is its powerful miniaturized analytics engine that can run on low footprint machines.  Rather than setting up expensive electronic connections and the passing of huge amounts of detailed machine sensor data to other Cloud-based platforms, FogHorn’s miniaturized complex event processing (CEP) engine coupled with an expressive domain specific language (DSL) to express rules on the incoming sensor data steams allows for the aggregated data to exist at the machine level via an Edge Gateway, passing information to the Cloud only when certain thresholds or operational alerts are encountered. The Edge software stack is responsible for ingesting various data streams from sensors or industrial devices into a high speed data bus as well as executing user-defined analytics expressions on the streaming data to optimize such devices.

The FogHorn platform further includes services that run in the Cloud or behind the firewall to remotely configure and manage edge devices. This week’s announcement indicates availability of two versions of the FogHorn Lightening Edge intelligence software platform. A Lightening® Micro Edition is embeddable software with a very small memory footprint while Lightening Standard Edition includes all of features of the Micro edition with additional support for advanced analytics and edge applications for different languages.

The Lightening software platform is further accessible on the Microsoft Azure Marketplace and FogHorn indicates that it has gained certification as an SAP HANA application solution partner which we believe provides an interesting future perspective as to which direction this provider takes in leveraging more widespread adoption of its technology.

Suffice to indicate that this will not be the only time our blog will provide commentary related to FogHorn along with other innovative IoT technology players that are now emerging to support such needs.

Bob Ferrari

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