Feb. 14, 2013
/PRNewswire/ -- Led by three former executives from SaaS pioneer BigMachines, G2 Crowd, a trusted
site for business software
reviews, today launched to help anyone, from end-users to CIOs, compare and select the best software based on authentic peer reviews and ratings. G2 Crowd provides a resource for businesses of all sizes to access unbiased, first-person insight and best practices to guide technology purchase decisions.
G2 Crowd brings the same highly valuable peer-review perspective that is widely available to consumers on sites such as Amazon and Yelp to the business software industry. G2 Crowd covers a wide range of both cloud and on-premise solutions, including CRM, marketing automation, ERP and accounting, HR management, CAD and IT infrastructure software, plus a wide range of hosting and IT consulting services. More than 2,000 professionals have already contributed over 10,000 ratings and reviews of 1,500 products and services.
Co-founded by serial entrepreneur Godard Abel and BigMachines colleagues
, G2 Crowd is a second-generation startup, self-funded with proceeds from the successful sale of BigMachines to Vista Equity and JMI Equity. The trio grew BigMachines from scratch to more than
in revenue and a valuation in excess of
"After spending more than 15 years in the enterprise software industry, we grew frustrated by the inefficient software selection process, which relies primarily on inexperienced business users slogging through vendor spin, industry-sponsored white papers and dated analyst reports," said Abel.
Because most companies choose new systems only every few years, they lack the expertise to efficiently select the best software, and most have nowhere to turn for input from peers implementing similar systems for similar companies. Also, traditional technology analysts such as Gartner rely on a legacy model of highly paid experts publishing their opinions only every two years or so, with a focus on products from large vendors that are typically also clients of the same analysts. This process delays the emergence of more innovative solutions, and buyers might miss newer technologies that could be a better fit.