In the US, data observability platform Bigeye has raised $45m in a Series B round of funding, which it will use to scale its team.
According to the firm, the platform can be deployed in as little as 15 minutes and uses automation and anomaly detection to help teams monitor all aspects of their data quality, proactively detect and resolve issues, and ensure every user can trust what they're seeing. Bigeye offers self-service analytics, machine learning and artificial intelligence to help improve service and better engage users, and access to third-party data from a variety of sources.
New funding has been led by Coatue with participation from existing investors Sequoia Capital and Costanoa Ventures, and follows a $17m Series A from just six months earlier, bringing total funding to $66m. Kyle Kirwan (pictured) CEO and co-founder of Bigeye, comments: 'We're excited about what we can do with this new round of funding. We can scale the team, build our platform faster, and serve more customers than we normally would at such an early stage'.
Web site: www.bigeye.com .
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
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