This article introduces the HierarX tool which projects multiple datasources into hyperbolic manifolds : Lorentz or Poincaré. From similarities between word pairs or continuous word representations in high dimensional spaces, HierarX is able to embed knowledge in hyperbolic geometries with small dimensionality. Those shape information into continuous hierarchies. This work presents the HierarX workflow as well as its main use-cases.