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FogHorn Systems

FogHorn Systems

FogHorn Systems is a Real-Time Edge Intelligence for Industrial IoT founded in 2014 by Sastry Malladi.

OverviewStructured DataIssuesContributors

Contents

ProductsLightning Edge IntelligenceLightning Edge MobileRevenue ModelTimelineTable: Funding RoundsTable: ProductsTable: AcquisitionsTable: SBIR/STTR AwardsTable: PatentsTable: Further ResourcesReferences
foghorn.io
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Analytics
Analytics
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Technology
Technology
Software
Software
Edge computing
Edge computing
Internet of things (IoT)
Internet of things (IoT)
Machine learning
Machine learning
Location
Palo Alto, California
Palo Alto, California
Sunnyvale, California
Sunnyvale, California
Mountain View, California
Mountain View, California
B2X
B2B
B2B
CEO
David King
David King
Founder
Sastry Malladi
Sastry Malladi
AngelList URL
angel.co/company/fo...orn-systems
Pitchbook URL
pitchbook.com/profiles.../97681-33
Legal Name
FogHorn Systems, Inc
Accelerator
Plug and Play
Plug and Play
Accelerator Batch
Plug and Play Supply Chain Batch 3
Plug and Play Supply Chain Batch 3
Plug and Play IoT Batch 10
Plug and Play IoT Batch 10
Legal classification
Corporation
Corporation
Number of Employees (Ranges)
51 – 200
Email Address
info@foghorn.io
Phone Number
+14089060700
Full Address
150 Mathilda Place Suite 600 Sunnyvale, CA 94086
Investors
GE  (company)
GE (company)
GE Capital
GE Capital
March Capital
March Capital
Darling Ventures
Darling Ventures
‌
The Hive Group
Yokogawa Electric
Yokogawa Electric
Saudi Aramco Energy Ventures
Saudi Aramco Energy Ventures
Robert Bosch Venture Capital
Robert Bosch Venture Capital
...
Founded Date
2014
Total Funding Amount (USD)
84,500,000
Latest Funding Round Date
February 2020
Competitors
Swim (software company)
Swim (software company)
Minim
Minim
MachineMetrics
MachineMetrics
Ayla Networks
Ayla Networks
Glassdoor ID
1349803
Key People
Mohan Reddy
Mohan Reddy
Latest Funding Type
Series C
Series C
Patents Assigned (Count)
9
Motto/Tagline
Real-Time Edge Intelligence for Industrial IoT
Wellfound ID
foghorn-systems

Other attributes

Blog
blog.foghorn.io
Company Operating Status
Active

FogHorn Systems is the developer of an edge intelligence software designed to deliver real time industrial grade analytics to resource constrained edge devices. The company's software augments edge computing with machine learning to bring intelligence to industrial Internet-of-Things (IoT) which works with mainstream IoT platforms in the public cloud and can be integrated with Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

The FogHorn platform brings the analytics and machine learning to the on-premises edge environment and enables applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. Their platform is ideally suited for OEM's, systems integrators, and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as connected infrastructure and connected vehicle applications.

Products
Lightning Edge Intelligence

FogHorn's Lightning Edge Intelligence product portfolio bring their IoT and edge computing as close to the source of streaming sensor data as possible. The platform is compact and works to deliver low latency for onsite data processing, real-time analytics, ML and AI capabilities.

Map of where in data stream FogHorn places their Lightning Edge Intelligence platform.

Map of where in data stream FogHorn places their Lightning Edge Intelligence platform.

The features in Lightning Edge Intelligence include VEL Complex Event Processor which is designed for industrial use and to perform real-time analytics of disparate streams of sensor data, works to optimize constrained and diverse compute environment with limited to no connectivity, works to simplify interoperability with existing OT systems, and handles machine learning pre and post processing which includes cleansing, filtering, normalizing and contextualizing streaming sensor data. Edgified Machine Learning, or EdgeML, is a learning model which, once trained, enables iterative closed-loop edge to cloud machine learning cycle and works to execute neural net models in constrained compute models.

Other features include their FogHorn Manager which is a browser-based tool allowing configuration and custom application across the platform; REX, a sensor traffic debug tool; VIZ, which allows the user to visualize real-time streams and to validate sensors, troubleshoot input sources, see the results of analytic expressions and view the output of machine learning algorithms; and VEL Studio which allows users to author and debug analytic expressions through a drag and drop interface and includes commonly used templates.

Lightning Edge Mobile

FogHorn's Lightning Mobile brings their edge computing platform to Android-based mobile devices, which brings real-time analytiics, machine learning and AI to field operations without relying on cloud connectivity.

Revenue Model

FogHorn's revenue is a subscription cost based on the combination of selected software plan charges plus the infrastructure costs for the virtual machines running FogHorn's software. FogHorn's pricing structure varies depending on enterprise agreements or other discounts, but Microsoft's Azure Marketplace lists the starting cost for FogHorn's software at $1.40/hour. They list three recommended virtual machines: the first offers 4 compute cores, with 7GB of RAM and 285GB of disk space for an added $0.24/hour; the second with 2 compute cores, 14GB of RAM and 135GB of disk space for an added $0.25/hour; and the third offering 8 compute cores, 14GB of RAM and 605GB of disk space for an aded $0.48/hour.

Based on this model, the pricing of FogHorn's platform ranges from approximately $1200 a month to $1400 a month.

Licensing and cloud services are a part of the revenue breakdown for FogHorn. The other portion, which does not have a fixed cost, is maintenance, professional services and training involved in the implementation and on-going use of their edge computing system. A breakdown of competitor Splunk's annual revenue shows their operational intelligence platform sees 33.4% of their annual revenue from maintenance, professional services and training.

Other competitors include Exosite, an enterprise IoT software company that helps manufacturers gain insight into their products and the people that use them; Ayla Networks, which also offers an IoT platform for device management; Splunk, which provides operational intelligence software to monitor, analyze and report real-time machine data; and Relayr, which offers an IoT platform for device manufacturers, app developers and software companies.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

FogHorn partners with Porsche to bring facial recognition to connected cars

Maria Deutscher

https://siliconangle.com/2019/07/16/foghorn-partners-porsche-bring-facial-recognition-connected-cars/

Web

July 16, 2019

FogHorn Systems Introduction

https://www.youtube.com/watch?v=-o4o_S8NtuE

July 10, 2015

Global Edge AI Software Market: Industry Analysis and Forecast (2018-2026) - BulletintheNews

https://bulletinthenews.com/global-edge-ai-software-market-industry-analysis-and-forecast-2018-2026/88417/

Web

January 11, 2020

Johnson Controls acquires FogHorn, expanding leadership in Smart and Autonomous Buildings

Johnson Controls International plc

https://www.prnewswire.com/news-releases/johnson-controls-acquires-foghorn-expanding-leadership-in-smart-and-autonomous-buildings-301459077.html

Web

January 12, 2022

References

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