MONTREAL--(BUSINESS WIRE)--After a highly successful introduction of a beta version at the beginning of 2017, the full commercial version of Gazelle.ai will launch at the International Economic Development Council (IEDC) 2017 Annual Conference in Toronto, September 17-20, 2017.
Gazelle.ai is an artificial intelligence-based platform geared towards identifying and attracting corporate investment for economic development organizations and deal professionals. It is based on a combination of macroeconomic data, trained algorithms that identify signs of early-stage corporate growth, and human-curated information and interviews with thousands of companies annually.
Clients can purchase an annual license for Gazelle.ai, with its robust information regularly updated to include new company data from across North America and Europe, including qualified forecasted corporate expansion projects. Recent iterations have seen the addition of data from venture capital funding rounds - helping to identify high-growth companies at an early stage, when areas like lead generation and site selection are at their most critical.
As sponsors of the IEDC conference, Gazelle.ai’s parent company ROI Research on Investment will be highly visible throughout the event, including a large tradeshow exhibit and a special session on the cutting-edge application of machine learning and artificial intelligence to the field of economic development. This activity culminates with company-sponsored launch celebration held on the final evening of the conference, where Gazelle.ai will be featured.
“We’re incredibly excited to be officially launching Gazelle.ai at IEDC 2017,” says Steven Jast, President of ROI. “It’s been over two years of intense R&D and investment, made possible by the support of ROI’s clients over the past 15 years and the hard work of our entire team.”
Specifically designed for economic development and deal professionals, Gazelle.ai is a one-stop business intelligence and lead generation platform that forecasts company growth and expansion.
The Gazelle.ai platform was built by an in-house multidisciplinary team, including PhD-level physicists, economists, mathematicians, data scientists and software engineers. It grew out of our desire to find a way to enhance the methods used to identify early-stage signals for growth and corporate expansion.
After two years of rigorous R&D and built upon a combination of artificial intelligence, big data and human expertise, Gazelle.ai was launched in January of this year. See more at www.gazelle.ai.