RecommenderX was founded in May of 2016 with the goal of addressing a recurrent business problem that we saw in the market. Companies have large quantities of data and they want their businesses to be data-driven; however, the data is siloed, difficult to obtain, and requires significant manual repetitive effort to cleanse, integrate and mine for insights. Fundamentally, being data-driven is hard and we want to make it easier.

Our vision has always been to bring a SaaS platform to market that is empowered with the best machine learning, recommendation, and data science technologies, which can be repeatedly applied to customer problems in different domains.

Automating the repetitive tasks enables companies to become more efficient, freeing up their teams to focus on improving their understanding of their business problems and really driving change. The domain-specific Decision Support Systems (DSS) that we deploy into companies, harnesses the data and makes teams more effective through tailored business recommendations.

The success of RecommenderX has been recognized in a number of different ways. In June of 2017, we were one of only six companies worldwide to be accepted into the Mastercard Start Path program, an accelerator for startups that has exposed us to a number of new business partners. In September of 2017 RecommenderX won the DatSci award for Best Use of Data Science by a Start-Up, recognizing our contributions to the market in terms of data science and AI.