Zone7

Overview
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Sports Tech?
Product stageSegments
Go-to-Market
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Training support and performance analytics solutions
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Zone7 is an AI-driven human performance platform that analyzes disparate datasets from sports organizations to uncover patterns, detect burnout risks, and mitigate injuries. The company's proprietary technology can ingest various data types related to athlete performance, such as wearables, biometrics, and biomechanics. It then applies machine learning algorithms to identify significant patterns and provide proactive recommendations to optimize output and manage training loads.

Zone7's platform is device-agnostic, enabling seamless integration with existing data sources used by teams. The technology has been widely adopted by numerous elite teams across major sports leagues, including the English Premier League (EPL), Major League Soccer (MLS), National Football League (NFL), La Liga, Serie A, and Premiership Rugby. Notable clients encompass Liverpool FC, Rangers FC, Valencia CF, LAFC, and QPR FC.

By leveraging Zone7's AI-driven insights, sports organizations can modify players' training regimens, reduce non-contact injuries, and maximize the value derived from player contracts. The company's approach to injury risk forecasting and load management has proven effective.

Zone7 was co-founded in 2017 by Tal Brown and Eyal Eliakim, former product and data leaders at Salesforce's AI platform Einstein. The company has raised over USD 10 million in funding to date, including an USD 8 million Series A round in July 2021 led by Blumberg Capital.

In April 2024, Zone7 merged with Svexa, an exercise intelligence startup, to create a comprehensive end-to-end AI platform covering the entire human performance journey, from athlete development to career longevity. The combined entity aims to enhance its AI suite with Svexa's robust analytics solutions and expand into new verticals like the military and wellness applications.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
550 California Ave. Suite #1 Palo Alto CA USA
Founded year:
2017
Employees:
11-50
IPO status:
Private
Total funding:
USD 10.5 mn
Last Funding:
USD 8.0 mn (Series A; Jul 2021)
Last valuation:
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