Monte Carlo Secures $60 Million Series C

<p><strong>SAN FRANCISCO<&sol;strong> &&num;8212&semi; Monte Carlo&comma; a company specializing in data reliability &comma; has raised &dollar;60 milliion in Series C funding from ICONIQ Growth with participation from Salesforce Ventures and existing investors Accel&comma; GGV Capital&comma; and Redpoint Ventures – bringing total funding to date at &dollar;101 million&period; With this round&comma; Monte Carlo plans to further develop its product offerings for customers and expand to new markets&period;<&sol;p>&NewLine;<p>In 2021&comma; the need for accurate&comma; reliable data has never been higher&period; According to a recent report from Gartner&comma; data teams spend millions of dollars per year and <a href&equals;"https&colon;&sol;&sol;cts&period;businesswire&period;com&sol;ct&sol;CT&quest;id&equals;smartlink&amp&semi;url&equals;https&percnt;3A&percnt;2F&percnt;2Fsalesbenchmarkindex&period;com&percnt;2Finsights&percnt;2Fthe-impact-of-poor-data-quality-on-sales-and-marketing&percnt;2F&amp&semi;esheet&equals;52477813&amp&semi;newsitemid&equals;20210817005321&amp&semi;lan&equals;en-US&amp&semi;anchor&equals;40&plus;percent&plus;of&plus;their&plus;time&amp&semi;index&equals;5&amp&semi;md5&equals;108d1387b5b1239dc9be28780018a9e6" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener" shape&equals;"rect">40 percent of their time<&sol;a> tackling poor data quality&comma; a number only expected to increase as companies become more data driven&period; Simultaneously&comma; data systems are becoming more complex&comma; distributed&comma; and decentralized&comma; widening the gap for <a href&equals;"https&colon;&sol;&sol;cts&period;businesswire&period;com&sol;ct&sol;CT&quest;id&equals;smartlink&amp&semi;url&equals;https&percnt;3A&percnt;2F&percnt;2Fwww&period;datanami&period;com&percnt;2F2021&percnt;2F04&percnt;2F29&percnt;2Fin-search-of-data-observability&percnt;2F&amp&semi;esheet&equals;52477813&amp&semi;newsitemid&equals;20210817005321&amp&semi;lan&equals;en-US&amp&semi;anchor&equals;data&plus;downtime&amp&semi;index&equals;6&amp&semi;md5&equals;4605dbdbfa4c5014e4b82db6ac4908fc" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener" shape&equals;"rect">data downtime <&sol;a>– periods of time when data is missing&comma; erroneous&comma; or otherwise inaccurate&comma; at each stage of the data lifecycle&period;<&sol;p>&NewLine;<p>Pioneered by Monte Carlo&comma; Data Observability leverages the best practices and principles of automatic application observability and applies them to data pipelines&comma; giving data engineers and analysts visibility across all data pipelines and data products&period; Simultaneously&comma; Monte Carlo’s machine learning-powered platform provides data leaders and other data stakeholders with a holistic view of their company’s data health and reliability for critical business use cases&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;In partnering with both Snowflake&comma; the category creator in cloud data warehousing&comma; and Datadog&comma; the leader in application observability&comma; we have witnessed firsthand how the power of innovative approaches to longstanding problems can transform industries and improve business outcomes&period; The issue of data downtime has been around for decades&comma; but Monte Carlo is innovating in data reliability&comma; bringing data teams a powerful solution to truly solve this <a href&equals;"https&colon;&sol;&sol;cts&period;businesswire&period;com&sol;ct&sol;CT&quest;id&equals;smartlink&amp&semi;url&equals;https&percnt;3A&percnt;2F&percnt;2Fwww&period;statista&period;com&percnt;2Fstatistics&percnt;2F254266&percnt;2Fglobal-big-data-market-forecast&percnt;2F&amp&semi;esheet&equals;52477813&amp&semi;newsitemid&equals;20210817005321&amp&semi;lan&equals;en-US&amp&semi;anchor&equals;hundred&plus;billion-dollar&plus;problem&amp&semi;index&equals;7&amp&semi;md5&equals;7da46ced8fade6cbd8026198fed46b92" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener" shape&equals;"rect">hundred billion-dollar problem<&sol;a>&comma;” said Matt Jacobson&comma; General Partner at ICONIQ Growth&period; &OpenCurlyDoubleQuote;We believe the potential impact of this technology is enormous and Monte Carlo is blazing the path forward for the Data Observability category&period;”<&sol;p>&NewLine;<p>Since its &dollar;25 million Series B funding in February 2021&comma; Monte Carlo says it has more than doubled revenue quarter-over-quarter&comma; with an 800 percent increase in revenue year-over-year&period; Since the start of 2021 alone&comma; Monte Carlo has brought on new customers across industries&comma; including Intuit&comma; Affirm&comma; Fox&comma; Vimeo&comma; PagerDuty&comma; and Zalora&comma; among others&period; Additionally&comma; Monte Carlo became the first Data Observability company to partner with industry leaders Snowflake&comma; Looker and PagerDuty&comma; bringing automatic&comma; end-to-end data monitoring&comma; anomaly detection&comma; and field-level lineage to data teams everywhere&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;In 2021&comma; it’s simply not enough to use data to drive accurate decision making and power digital products — you need to trust it&comma; too&period; If you’ve been on the receiving end of bad data&comma; you understand the pain&colon; lost revenue&comma; wasted time&comma; and most importantly&comma; lost confidence in data products&period; Once trust is lost&comma; it’s hard to gain back&comma;” said Barr Moses&comma; CEO and co-founder of Monte Carlo&period; &OpenCurlyDoubleQuote;As the industry leader in Data Observability&comma; Monte Carlo solves this problem by enabling teams to accelerate the adoption of trustworthy&comma; reliable data and stop bad data in its tracks — before it impacts the business&period; Our investment from ICONIQ Growth and other leading VCs signals the market confidence in our category and the need for a new approach to solving the very real problem of data downtime&period;”<&sol;p>&NewLine;

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