Bringing the power of big data to the edge
FogHorn is leading in the rapidly emerging domain of “intelligence at the edge” or what many refer to as “fog computing.” FogHorn’s breakthrough edge intelligence platform is a critical element in bringing the power of big data and real-time stream processing to onsite locations for industrial customers and for use cases in markets such as manufacturing, oil and gas, power and water, renewable energy, mining, transportation, health care, smart grid and more.
With increasing demands for reliability, security, data privacy, real time analytics and rapid application development, many industrial use cases are becoming increasingly dependent on our unique model of edge intelligence. FogHorn’s solution enables high performance edge processing, optimized analytics, and heterogeneous applications to be hosted as close as possible to the control systems and physical sensor infrastructure that pervade the industrial world. This solution effectively enables deriving intelligence at the edge for closed loop device optimization.
Its extremely small footprint software platform is purpose-built to deliver the power of real time industrial grade analytics to resource constrained edge devices such as PLCs, gateways and industrial PCs.
FogHorn’s technology has been embraced by the world’s leading Industrial Internet innovators as well as major players in cloud computing, systems integration, and high performance edge gateways.
“Cool Vendor in IOT Edge Computing” – Gartner 2017
FogHorn Technology Platform
FogHorn provides an efficient and highly scalable edge analytics platform that enables real-time, on-site stream processing of sensor data from industrial machines.
Most existing “edge” solutions support ingesting of sensor data into a local storage repository with the option to publish the unprocessed data to a cloud environment for offline analysis. They essentially provide a “store-and-forward” or some form of basic filtering capabilities. However many industrial environments and devices lack Internet connectivity rendering this solution unusable. But even with Internet connectivity, the sheer amount of data generated could easily exceed available bandwidth or be too cost prohibitive to send to the cloud. In addition, by the time data is uploaded to the cloud, processed in the data center, and the results transferred back to the edge, it may be too late to take any action.
The FogHorn solution addresses this exact pain point by providing a complete edge solution consisting of a highly miniaturized complex event processing (CEP) engine, also known as an analytics engine and machine learning (ML) capability to help derive real-time insights right at the edge. A powerful and expressive domain specific language (DSL) is also provided to define failure conditions and to detect interesting complex events on the multitude of the incoming sensor streams of data.
Output from these expressions can be used to directly prevent costly machine failures or downtime. They can also be fed into appropriate ML algorithms to enhance detection and prediction of anomalies or failure conditions. Overall, FogHorn’s technology will improve the overall efficiency and safety of industrial operations and processes in real time.
FogHorn platform packs a lot of power into an exceptionally small footprint including a CEP engine, real time analytics, and machine learning! And embracing this paradigm shift to small-compute and local-processing on constrained devices, FogHorn’s Lightning platform runs seamlessly on the industry’s broadest spectrum of industrial devices and processors.
OT (Operational Technology) Friendly
FogHorn technology is specifically designed for OT personnel who need an effective way to express their desired process optimizations. This makes it a lot easier to capture and incorporate tribal knowledge gained from years of experience and translate it into meaningful analytics and insights into their machine operations FogHorn’s simple drag and drop GUI based utility makes it easy for OT operators without device programming skills to define analytics on the fly. The entire mental model of designing these expressions is based off PLC style operations.
On-Premise Centric and Cloud Agnostic
The FogHorn Lightning ML software platform can run entirely on premise or connect to any private cloud or public cloud environment. This gives customers maximum flexibility in selecting the best deployment model in terms of IT infrastructure, security policy and cost.
Machine Learning at the Edge
FogHorn’s small footprint platform delivers Machine Learning at the Edge through our flagship product EdgeML. It supports executing customer proprietary domain ML models, provides out of box industry standard algorithms and facilitates a seamless plugin into live data streams.
“FogHorn is accelerating the pace of innovation in edge computing by not just democratizing analytics but by making machine learning accessible to industrial operators ” —David King, FogHorn CEO