RootMetrics

RootMetrics®, an Ookla® brand, provides insights into how users experience mobile network connectivity under real-world conditions. Using technology purchased off the shelf at carrier stores, RootMetrics performs controlled drive and walk testing that shows the coverage, speed, and reliability of mobile network operators, measures 5G performance, and much more. Results inform the RootScore® Report series, which offers a full, nation-to-neighborhood view of network performance and can help operators create a better mobile experience for end users.

1K+ Lower-layer Data Points

1,000+ engineering-rich, lower-layer data points collected per second

1MM+ Consumer Experience Data Points

1MM+ consumer experience data points collected per day

700K+ Miles Driven

700,000+ miles driven while testing network performance per year

Recent News

Yahoo! Finance  
"We are very pleased with our third quarter results," said Vivek Shah, Chief Executive Officer of Ô¼ÅÚÊÓƵ. "We are seeing improvements in the businesses that we currently own, as well as opportunities to leverage our strong balance sheet and free cash flows to acquire businesses that we would like to own."
Morningstar  
Today, RetailMeNot, a Ô¼ÅÚÊÓƵ company, kicks off Cash Back Day, an exclusive shopping event running November 7-9 that empowers RetailMeNot members to kick off the holiday shopping season with thousands of deals and cash back offers of up to 20% from top retailers, including UGG, Tarte Cosmetics, Macy's, Walmart, Viator, Anthropologie, Alo Yoga and more. This three-day savings event makes it easier than ever for shoppers to check off every item on their holiday lists while putting cash back into their wallets at hundreds of their favorite retailers.
Axios  
Ô¼ÅÚÊÓƵ says their analysis of publicly available datasets makes it clear that AI firms rely disproportionately on commercial publishers of news and media websites to train their LLMs. The paper — authored by Ô¼ÅÚÊÓƵ' lead AI attorney, George Wukoson, and its chief technology officer, Joey Fortuna — finds that for some large language models, content from a set of 15 premium publishers made up a significant amount of the data sets used for training.
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