The SocialGenomix takes into account likes, interests, activities, brand affinity, intent and spending potential and analyses all the data to create a personalized online experience. The platform has been developed at MIT and came to live during a class taught by Sir Tim Berners-Lee, who is also an advisor of the company. In order to predict user’s behaviour they use different big data techniques, among others Natural Language Processing, Machine Learning and predictive analytics. The algorithm follows the customers changing tastes, so that the information is always up-to-date.
According to Infinite Analytics, they have processed 90 million users, 5.3 billion data attributes and caused a 25% increase in site engagement for those companies using their tool.
It was founded by Akash Bhatia and Purushotham Botla, both MIT graduates. Currently they have 6 paying clients and they completed several accelerators and startup challenges in which they won $ 100k in the Startup Chile competition. Currently they are backed by various Angel Investors for an undisclosed amount. They have patented their SocialGenomix.
Personalization of content and recommendation for online shoppers is extremely important for e-commerce companies, but still difficult to achieve, as there are so many variables. How Infinite Analytics will perform over time is still unclear as they are still a young big data startup with only a few customers. They have, however, an impressive board of advisors and therefore we are confident that they will live up to their promise. We therefore give them a 6 bits rating.