Evolv Raises $15.8 Million For Talent Matching And Intelligence Software

Leena Rao

Leena Rao is currently a Senior Editor for TechCrunch. She recently finished graduate school at the Medill School of Journalism at Northwestern University, where she studied business journalism and videography. From 2004 to 2007, she helped lead Congresswoman Carloyn Maloney’s community outreach and relations efforts in New York City. She graduated from Columbia University in 2003, where she was... → Learn More

Tuesday, April 26th, 2011

Evolv On-Demand, a startup that develops science-based, on-demand talent matching and intelligence software, has raised $15.75 million in Series C funding, led by GGV Capital with Khosla Ventures and Lightspeed Venture Partners participating in the round. This investment brings the total capital raised by the company to $27.5 million.

Evolv’s Talent Matching and Talent Intelligence software is used by recruiters and employers to match the best job applicants to various job types based upon factors such as behaviors, skills, motivation and workstyle. Evolv claims that its SaaS platform reduces employee attrition by 20-30%, improves hourly employee productivity metrics by 5-10%, and helps improve annual operating margins by over 20%.

Evolv says the new capital will be used to accelerate the company’s expansion into new global markets, develop new products and for sales and marketing efforts.

Company: Evolv
Launch Date: 2007
Funding: $30.8M

Evolv’s proven workforce performance solutions – the first of their kind – leverage the power of Big Data and predictive analytics to help businesses select, retain and develop a more productive, more positive and more profitable workforce. Evolv harnesses the power of machine learning to uncover and correct the inefficiencies that undermine the performance. Our SaaS-based analytics platform identifies improvement areas and transforms core operational business processes to drive increased employee satisfaction, retention, productivity and engagement. We help many...

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