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The Industrial Internet of Things FEATURE NEWS

IIoT Leaders Invest $30 Million in FogHorn's Series B Funding

By Ken Briodagh October 09, 2017

FogHorn Systems recently announced it has received a Series B round of funding totaling $30 million to support its disruptive innovation in the Industrial IoT (IIoT) edge computing market segment. Intel Capital and Saudi Aramco Energy Ventures led the round, with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive. This new round brings FogHorn's total funding to $47.5 million and will be used to expand the company's engineering resources and global go-to-market presence.

"This major round of funding by many of the world's largest and most innovative technology and industrial companies will enable FogHorn to continue its drive for industry-first innovation in the IIoT market segment," said David C. King, CEO, FogHorn. "We have seen unprecedented interest from customers and partners in a huge variety of industries for advanced condition monitoring, predictive maintenance, asset performance management and process optimization solutions."

FogHorn recently introduced Lightning ML, a new edge machine learning solution. Built on top of FogHorn's CEP (complex event processing)-driven edge analytics software launched in 2016, Lightning ML breaks new ground by giving industrial customers the ability to train and execute machine learning algorithms and other advanced data science models on streaming sensor data right at the source of the data. This facilitates the creation and iterative enhancement of "digital twins" and other sophisticated machine learning and AI models without the need to send all the sensor data to a cloud or data center for processing.

"Both the promise and challenge of IIoT lie in the ability to convert sensor data to actionable insights that improve customers' operating efficiency and generate new sources of business value," said Jonathan Ballon, VP and GM, IoT Group, Intel. "As we've watched FogHorn's progress with both leading IIoT solutions providers and major industrial end customers, we believe their edge analytics and machine learning technology will be a critical factor in enabling those operating efficiencies and delivering that business value."

Unleashing digital industrial transformation requires solving a fundamental computing challenge: how to generate actionable insights from all the real-time streaming data constantly being emitted by the profusion of physical, video/audio and other edge sensors deployed in any industrial environment -- whether in manufacturing, energy, resources, transportation, smart cities or smart buildings -- without the transport and hosting costs, cybersecurity risk and operational latency associated with sending all that operations technology data across a network to a public/private cloud or remote data center.

"FogHorn's unique edge analytics and machine learning capabilities are a great complement to our existing technologies," said Murray Grainger, Managing Director and Head of Honeywell Ventures. "Combining advanced software solutions with great physical products to provide increased value for our customers is central to Honeywell's transformation into a leading software-industrial company. We are excited that FogHorn represents Honeywell Ventures' inaugural investment and we are committed to helping FogHorn scale faster through access to Honeywell's customers, channels, and global presence."


Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

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