Frosha

Companies know a lot about their customers but this data is typically held in silos. The real value of the data lies in combining these towers but this is impossible because data structures differ across systems and the data can incorporate small errors or be incomplete.

With its Natural Language Processing (NLP) solution, Frosha solves the two main problems in customer data today: ensuring it fits a standard format and then matching across silos.