eWEEK is building a new IT products and services section that encompasses most of the categories that we cover on our site. In it, we will spotlight the leaders in each sector, which include enterprise software, hardware, security, on-premises-based systems and cloud services. We also will add promising new companies as they come into the market.
Today: FogHorn (edge intelligence software)
Company description: FogHorn is a developer of edge intelligence software for industrial and commercial IoT application solutions. FogHorn’s software platform brings advanced analytics and machine learning to the on-premises 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 technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, health care, retail, as well as smart grid, smart city, smart building and connected vehicle applications.
Founded in 2014, FogHorn is headquartered in Mountain View, Calif., and lead by David C. King. FogHorn is privately funded by investors including Intel Capital, Saudi Aramco Energy Ventures, Honeywell Ventures, March Capital Partners, GE, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and The Hive.
eWEEK definition: Edge computing is any type of computing that takes place outside a data center. Smartphones, laptops, desktop PCs, small servers and routers and other similar devices can be considered “edge” devices. Edge computing also entails a growing genre of infrastructure-class computing platforms aimed at hyperscale cloud data centers to the network edge that are playing an increasingly important role in distributed IT computing environments driven by the rise of the internet of things (IoT).
eWEEK has published a number of articles on edge computing over the last few years. Go here to access a list of them.
- Energy, including oil and gas, power, water and renewable energy
- Smart cities
Lightning EdgeML: FogHorn’s edge intelligence platform provides lower energy consumption, predictive maintenance, better security, increased occupant comfort and safety and better utilization of building assets and services. Smart buildings can use FogHorn’s edge intelligence for more responsive automation while reducing bandwidth costs and latency.
Lightning EdgeML brings machine learning to the edge by leveraging existing models and algorithms, making machine learning OT-accessible and running within a tiny software footprint.
Lightning EdgeML features:
- Leverages existing models and algorithms: With Lightning EdgeML, industrial users can seamlessly plug in and execute proprietary algorithms and machine learning models on live data streams produced by physical assets and industrial control systems.
- Makes machine learning OT-accessible: Non-technical personnel can use FogHorn’s tools to generate powerful machine learning insights without the need to rely on in-house or third-party data scientists.
- Runs in tiny software footprint: Lightning EdgeML enables complex machine learning models to run on highly-constrained compute devices such as PLCs, Raspberry Pi systems and tiny ruggedized IIoT gateways as well as more powerful industrial PCs and servers.
Insight and Analysis
None available at this time. Check back soon.
List of current customers: DAIHEN, GE, Schindler
Other key players in this market: GE. Honeywell, BOSCH, Google
Contact information for potential customers: https://Foghorn.io/contact-us