Showing posts with label Foghorn. Show all posts
Showing posts with label Foghorn. Show all posts

Tuesday, March 20, 2018

FogHorn partners with Google Cloud for Industrial IoT

FogHorn Systems, a start-up based in Mountain View, California, announced a collaboration with Google Cloud IoT Core to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says 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.

Under the partnership with Google, FogHorn’s edge analytics and machine learning platform will be integrated with Google Cloud IoT Core, which is a fully managed service that for connecting, managing, and ingesting data from globally dispersed devices.

“Cloud IoT Core simply and securely brings the power of Google Cloud’s world-class data infrastructure capabilities to the IIoT market,” said Antony Passemard, Head of IoT Product Management at Google Cloud. “By combining industry-leading edge intelligence from FogHorn, we’ve created a fully-integrated edge and cloud solution that maximizes the insights gained from every IoT device. We think it’s a very powerful combination at exactly the right time.”

"Our integration with Google Cloud harmonizes the workload and creates new efficiencies from the edge to the cloud across a range of dimensions,” said David King, CEO at FogHorn. “This approach simplifies the rollout of innovative, outcome-based IIoT initiatives to improve organizations’ competitive edge globally, and we are thrilled to bring this collaboration to market with Google Cloud.”

 FogHorn raises $30M for industrial IoT edge computing
FogHorn Systems, a start-up based in Mountain View, California, announced $30 million in Series B funding for its software stack designed for the industrial IoT (IIoT) edge computing segment.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says 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.

FogHorn's “edge intelligence” software targets industrial and commercial IoT application, such as complex machinery packed with sensors. For performance and cost reasons, FogHorn argues data from industrial equipment mostly should be processed locally and not sent to a distant cloud. On-premises computing provides better latency for near real-time feedback. It can also minimize the volume of data to be uploaded to the cloud. FogHorn's software is being used by OEMs and systems integrators. The company is also working directly with end customers in manufacturing, oil and gas, power and water, transportation, renewable energy, mining and agriculture, as well as Smart Building, Smart City and connected vehicle applications.

The new funding round was led by Intel Capital and Saudi Aramco Energy Ventures with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive. The company has raised $47.5 million to date.

Wednesday, October 4, 2017

FogHorn raises $30M for industrial IoT edge computing

FogHorn Systems, a start-up based in Mountain View, California, announced $30 million in Series B funding for its software stack designed for the industrial IoT (IIoT) edge computing segment.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says 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.

FogHorn's “edge intelligence” software targets industrial and commercial IoT application, such as complex machinery packed with sensors. For performance and cost reasons, FogHorn argues data from industrial equipment mostly should be processed locally and not sent to a distant cloud. On-premises computing provides better latency for near real-time feedback. It can also minimize the volume of data to be uploaded to the cloud. FogHorn's software is being used by OEMs and systems integrators. The company is also working directly with end customers in manufacturing, oil and gas, power and water, transportation, renewable energy, mining and agriculture, as well as Smart Building, Smart City and connected vehicle applications.

The new funding round was led by Intel Capital and Saudi Aramco Energy Ventures with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive. The company has raised $47.5 million to date.

“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 of 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 is headed by David C. King (CEO), who previously co-founded AirTight Networks and served as its Chairman and CEO. Prior to AirTight, he served as Chairman, President and CEO of Proxim Inc., a pioneer in WLANs and the first publicly traded Wi-Fi company.

Thursday, July 13, 2017

FogHorn Targets Edge Intelligence Software at IIoT

FogHorn Systems, a start-up based in Mountain View, California, released its Lightning ML edge intelligence software for the Industrial Internet of Things (IIoT).

The company said its Lightning ML brings the power of machine learning at the edge in three ways:
  • Leverages existing models and algorithms: can execute proprietary algorithms and machine learning models on live data streams produced physical assets and industrial control systems
  • Makes machine learning OT-accessible: offer tools to generate machine learning insights 
  • Runs in tiny software footprint: Lightning ML platform requires less than 256MB of memory footprint.

Lightning ML supports all x86-based IIoT gateways and OT systems as well as ARM32 OT control systems (like PLCs and DCSs). It also supports the newest generation of small footprint Raspberry Pi derivative IIoT gateways. The FogHorn Lightning ML software platform can run entirely on premise or connect to any private cloud or public cloud environment.

"In the initial launch of FogHorn’s Lightning platform, we successfully miniaturized the massive computing capabilities previously available only in the cloud. This allows customers to run powerful big data analytics directly on operations technology (OT) and IIoT devices right at the edge through our complex event processing (CEP) analytics engine. With the introduction of Lightning ML, we now offer customers the game changing combination of real-time streaming analytics and advanced machine learning capabilities powered by our high-performance CEP engine,” said said FogHorn CEO David C. King.

http://www.foghorn.io


  • In May 2017, FogHorn Systems announced today that it had raised additional Series A funding from Dell Technologies Capital and Saudi Aramco Energy Ventures (SAEV). The extended funding brings FogHorn’s total Series A round to $15 million, excluding the conversion of $2.5 million in seed funding. Dell Technologies Capital added to its initial Series A investment. Saudi Aramco Energy Ventures is a new investor in the company.

See also