ExtraHop Networks

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ExtraHop Networks, Inc.
Industry Technology
Founded 2007
Founders Jesse Rothstein
Raja Mukerji
Headquarters Seattle, WA
Website www.extrahop.com

ExtraHop Networks, Inc. is an enterprise technology company headquartered in Seattle, Washington. ExtraHop sells network appliances that perform real-time analysis of wire data for performance troubleshooting and security threat detection.


Jesse Rothstein and Raja Mukerji founded ExtraHop in 2007. The co-founders were formerly senior engineers at F5 Networks and architects of the BIG-IP v9 product.

Early on, ExtraHop Networks $6.6 million in funding from the Madrona Venture Group and other private investors including Marc Andreessen, co-founder of Netscape, and Ben Horowitz, former CEO of Opsware.[1] In May 2014, the company closed a $41 million Series C round led by Technology Crossover Ventures (TCV). Other participants in this round included existing investors Meritech Capital Partners and Madrona Venture Group, as well as private investors including Sujal Patel, former CEO and founder of Isilon Systems. This round brought ExtraHop’s total venture funding to $61.6 million.[2]

In December 2014, the company appointed John Matthews as Chief Information Officer.[3] In July 2016, ExtraHop brought on Arif Kareem, former president of the Fluke Networks division of Fluke Corporation, as CEO with co-founder Jesse Rothstein moving into the CTO role.[4]


ExtraHop is headquartered on the 16th floor of 520 Pike Tower in downtown Seattle

ExtraHop sells products for IT Operations and Security use cases. The company launched the Reveal(x) network traffic analytics product for Security teams in 2019. [5]

The core of ExtraHop technology is a passive network appliance that uses a network tap or port mirroring to receive network traffic, and then performs real-time full-stream reassembly to extract application-level protocol metrics and other custom-specified information contained in the transaction payload.[6] A subset of these metrics are sent to the cloud where they are used as machine learning features to detect anomalous behavior that could indicate a data breach, for example.[7] The ExtraHop appliances can be deployed on-premises or in public cloud services such as Amazon Web Services (AWS) and Microsoft Azure.