Infer More than Doubles Headcount to Meet Exploding Demand for Predictive Sales and Marketing Applications
September 18, 2014
Press Release: Company Builds Out Customer Success Team to Help Unlock Revenue with Predictive Lead Scoring
Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced a 130 percent increase in its employee base since the start of 2014. This year, Infer has brought on experts with deep, data-centric operations experience at leading consumer and enterprise companies in order to scale its powerful predictive lead scoring solution to thousands of companies.
Infer’s predictive-first approach uses external signals from the web and advanced data science to help companies prioritize the sales and marketing leads that are most likely to convert to buyers. As the company continues to expand its client base, it is building a stellar customer success group to help these businesses implement new predictive models and leverage Infer’s applications across their organizations. New Infer team members bring industry experience from Google, LinkedIn, HP, Deloitte, McKinsey & Company and Booz Allen Hamilton, as well as undergraduate and M.B.A. degrees from Harvard University, Carnegie Mellon University and the University of Chicago’s Booth School of Business.
“We’ve built a proven solution to many of the sales and marketing problems that are plaguing today’s B2B companies, and we’re making major investments in Infer’s data-driven DNA in order to help our customers truly leverage predictive applications to the fullest,” said Vik Singh, co-founder and CEO of Infer. “Our exceptional new team members are making a significant impact by helping every Infer customer ensure that our models fit their needs and are driving real top and bottom-line results.”
Infer also continues to grow its brilliant engineering team, of which sixty percent hold doctorates from or dropped out of competitive Ph.D. programs at Stanford University, Massachusetts Institute of Technology, the University of California at San Diego and the University of Michigan. This team is optimizing machine learning algorithms, extracting signals from the web and scaling Infer’s infrastructure to pioneer new predictive sales and marketing solutions.
To learn more about predictive-first applications, join Infer and SiriusDecisions for their upcoming webinar about evaluating predictive lead scoring vendors, or download Infer’s recently published Guide to Predictive Lead Scoring.
Founded in 2010, Infer delivers predictive business applications that help companies win more customers. It leverages proven data science to rapidly model the untapped data sitting in enterprises, along with thousands of external signals from the web. Customers include several large businesses and numerous high growth companies like AdRoll, Cloudera, New Relic, Optimizely, SurveyMonkey, Tableau, Xactly and Zendesk. Headquartered in Palo Alto, California, Infer is funded by leading investors, including Redpoint Ventures, Andreessen Horowitz, Social+Capital Partnership, Sutter Hill Ventures and Nexus Venture Partners. For more information, visit infer.com or read the company’s blog at blog.infer.com.
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