IdealSpot

IdealSpot is developing a commercial real estate marketplace where buyers can find their ideal locations, and sellers can find their ideal tenants by applying machine-learning, predictive algorithms to big data. The IdealSpot algorithm, in our first product, helps retailers in evaluating a prospective location by analyzing 15,000+ factors of demographic, psychographic, social, mobile, and traffic data points for every retail location, store, or restaurant. It then tells you, without human bias, if the location is ideal for your business for less than the cost of a meal at a nice steakhouse.  This enables us to get a wide variety of retailers to provide us with all sorts of data about their locations. As we develop this retail map of data we will then be able to help the property owners identify who the right tenants would be.