WASHINGTON, Dec. 1, 2016 /PRNewswire/ -- Solebrity, a data science startup that specializes in applying machine learning, artificial intelligence to the world of ecommerce, launched their new B2B offering, Solebrity Analytics after their recent acquisition of Net Data Direct, the company announced today. Prior to their B2B release, the Solebrity team spent the past 18 months growing their consumer-facing mobile app, an online marketplace that allows users to buy and endorse popular brands and products. The company rewards users with half of the earned revenue from a sale whenever a follower purchases an item based on the user's recommendation -- allowing users to effectively become "social celebrities," giving the company its portmanteau namesake. Users also have the option of donating all or a portion of their kickback to charity. "It's our philosophy that one of the most valuable marketing assets a brand can take advantage of is their customers' ability to influence purchasing decisions among friends and social followers. People are much more likely to buy something if their friends say it's awesome than if the brand says it is. Since you and I know each other, there's already an element of trust built in, so personal recommendations tend to carry a lot more weight," said Solebrity CEO and Co-Founder AJ Jaghori. A highly accurate machine learning algorithm powers Solebrity's ability to personalize shopping recommendations based on each user's unique shopping habits, preferences, and budget. The AI-based technology makes it possible to offer the right products at the right time at the right price and with a 70% relevancy to the individual user's needs. It was first developed by Jaghori while working on MIT's Social Genome Project between 2008 and 2011. With the release of Solebrity Analytics, the team intends to make their data-gathering technology, previously only available to their fashion and apparel brands, accessible to all businesses.