FogHorn is an expert in the rapidly emerging domain of edge intelligence or "fog computing" for industrial and commercial IoT applications. The company's breakthrough fog computing software platform is a critical enabler for a new class of powerful real-time analytics, machine learning models and edge computing applications in a wide variety of industrial and enterprise use cases.
"This is the largest initial round of funding raised by a Silicon Valley startup focused on IoT edge analytics and fog computing", stated FogHorn CEO David C. King. "Our investors include major strategic players in the Industrial IoT sector with participation from global leaders based in North America, Europe and the Asia Pacific region. In addition to welcoming these companies as strategic investment partners, we will work with each of them to develop breakthrough IoT solutions for their industrial and commercial customers."
"The Industrial Internet enables organizations to leverage and act on analytic insights from their machines, equipment, and operations. Realizing this vision requires distributed edge-to-Cloud computing and machine learning, and we are excited to have leading technology innovators like FogHorn as part of our Predix ecosystem", stated Michael Dolbec, head of ventures and business development for GE Digital.
FogHorn's technology enables high-performance edge processing, real-time analytics and heterogeneous machine learning applications to be hosted as closely as possible to the source of high-volume and high-velocity operations technology (OT) machine data. This unique solution provides customers with unprecedented capabilities that enable them to achieve greater operating efficiencies - increases in runtime, throughput and yield, or reductions in machine outages, scrap material and energy usage - and to detect anomalous conditions that can impact individual asset or site-wide performance.
Industry sectors where this high-performance, real-time edge analytics technology can unlock billions of dollars in economic value include manufacturing, power and water utilities, oil and gas production, mining, renewable energy, transportation and health care, as well as smart grids, smart cities, smart buildings and connected vehicles. The vast amount of data produced every day by the machines in these settings dictates the use of an edge-centric computing paradigm that not only minimizes bandwidth costs but also addresses latency, reliability, security and privacy issues.
"Bosch has been a leader in bringing the transformative power of IoT to a wide range of industrial environments through our prominent role in the creation of Industry 4.0", stated Luis Llovera, Managing Director of Robert Bosch LLC. "The market opportunity for IoT is vast, not only in the industrial sector, but in Bosch's smart building and connected vehicle businesses as well. We look forward to working with FogHorn's groundbreaking edge analytics technology and fog computing applications platform."
FogHorn's industrial IoT software stack is a combination of technologies providing 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. In addition to applying intelligence at the edge where IoT devices operate, the FogHorn 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.
"Ingesting sensor data at the edge and then simply publishing everything to a Cloud environment for processing is not practical or advisable in most industrial settings", stated FogHorn CTO Sastry Malladi. "The sheer amount of data generated by industrial machines and factories can easily exceed available bandwidth, and it would be cost prohibitive to send that data to the Cloud. Moreover, some machines and processes require automated responses within a few seconds or even milliseconds. By the time uploaded data is processed in a data center and the results transferred back to the edge, it often arrives too late. This is where FogHorn's edge intelligence is truly revolutionary."
FogHorn's technology has been embraced by the world's leading industrial Internet solutions companies as well as major players in cloud computing, high-performance edge gateways and IoT systems integration.