It strikes the right balance between data privacy and the legislation-compliant, collaborative harnessing of this data

It carries out secure private calculations on distributed data, without exposing it or moving it from organizations

Its application in sectors like healthcare, finance, insurance, services or industrial processes represents a big stride forward in drawing up machine-learning models