Recent research studies state the Internet of Things market is expected to reach $1.6 trillion in industrial industries, $1.2 trillion in commercial industries, and $1 trillion in consumer industries within the next couple of years. Although this suggests a positive outlook for the market, companies are struggling to generate intelligence from operational data collected by these connected machines. Edge computing solves this by bringing big data, streaming analytics and machine learning as close as possible to the devices producing the data. Companies see incredible improvements once they translate their data into actionable insights using edge computing, machine learning (ML) and artificial intelligence (AI). These technologies will help process mass quantities of data and deliver insights to help companies to apply predictive maintenance, improve yield and quality, enhance worker safety, and more.
New services from major cloud and software providers, including AWS, Microsoft and IBM, rely on sending data to the cloud for processing. However, FogHorn SystemsTM offers a transformational compliment to this cloud approach, lowering costs, reducing latency and optimizing industrial operations for the real-time processes in manufacturing, energy, oil and gas, and more. Because thousands of sensors are constantly sending data at the rate of every 20 or 30 milliseconds, much of this information is useless within minutes, or even seconds. FogHorn enables businesses to take the information that matters – the anomalies or patterns unearthed through analytics applied directly at the edge – and translate it into operational intelligence.
Leader in Edge Intelligence Software for Industrial IoT
FogHorn’s industrial IoT software stack provides an efficient and highly scalable end-to-end solution that blends the benefits of real-time, on-site processing of sensor data from industrial machines with cloud-based management, analysis and machine learning. David C. King, CEO of FogHorn Systems continues to design and develop innovative ideas and new capabilities in this fast-changing market. Prior to FogHorn, King led AirTight Networks, a technology leader in secure cloud-managed Wi-Fi, through four successful up rounds of VC funding. Additionally, he served as President and CEO of Proxim, a pioneer in WLANs and the first publicly-traded Wi-Fi company.
King supports FogHorn’s global customers and partners as they roll out a broad range of powerful edge intelligence applications for industrial and commercial systems. To inspire creativity and innovation in the workspace, he guides the organization to hire people with great passion and curiosity about not just technology, but also other hobbies and interests. He looks for workers with a successful track record that helped build market share and move innovative new products from early adoption to mass market.
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning™ software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s principal advantage stems from its unique, high-speed, tiny footprint compute and machine learning engine. The company designed the CEP™ (complex event processing) engine from scratch, and it enables FogHorn to run the complete IoT edge analytics software stack next to machine data sources, rather than shrinking down existing “big data” engines developed for resource-unlimited cloud environments.
Building an Edge Intelligence Platform
FogHorn’s platform packs a lot of power into an exceptionally small footprint. Its Lightning platform runs seamlessly on the industry’s broadest spectrum of industrial devices and processors and truly embraces the paradigm shift to small-compute and local-processing on constrained devices. By applying intelligence at the edge where IoT devices operate, FogHorn’s Lightning platform significantly lowers cloud-related bandwidth costs by refocusing the role of the cloud to very specific functions such as application portability and provisioning orchestration, machine learning and advanced cloud/edge analytics. Connected cars and autonomous vehicles, for example, will be able to process data from instruments and sensors locally, in-car, in real-time, which will enable critical safety developments, such as accident avoidance, emergency braking, as well as mission-critical systems monitoring like airbag failure, and more.
Awards, Achievements and Recognitions
Among its most recent accolades, FogHorn was named to the: CRN IoT 50, CB Insights AI 100, IoT Breakthrough IoT Startup of the Year, Tech Trailblazer Finalist, and as a CIO Most Promising AI Solutions Provider. These awards come alongside industry recognition from leading analyst firms, including Gartner, who named the company in their “Cool Vendors in IoT Edge Computing, 2017” report. Frost & Sullivan also recognized FogHorn as a leader in the IoT and manufacturing space.
In addition, FogHorn announced $30 million in Series B funding in October 2017 to support faster growth. Intel Capital and Saudi Aramco Energy Ventures led the round, with new investor Honeywell Ventures and all previous investors participating, including March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and The Hive.
Residing Future with IIoT
FogHorn’s solutions are ideally suited for OEMs, systems integrators and end customers in markets such as manufacturing, power and water, oil and gas, mining, transportation, healthcare and CPG, as well as smart grid, smart city and smart car applications. FogHorn has pioneered a global shift to edge intelligence, comprised of real-time analytics and machine learning deployed on virtually any device in industrial and commercial operations. The company recognizes the transformational improvement in technology and delivers across a wide range of industries. FogHorn believes that it will result in its Lightning software residing in a large percentage of the projected 50 billion connected devices by the year 2020.