  Computational approaches are beginning to be used to design dynamic visual
identities fuelled by data and generative processes. In this work, we explore
these computational approaches in order to generate a visual identity that
creates bespoke letterings and images. We achieve this developing a generative
design system that automatically assembles black and white visual modules. This
system generates designs performing two main methods: (i) Assisted generation;
and (ii) Automatic generation. Assisted generation method produces outputs
wherein the placement of modules is determined by a configuration file previous
defined. On the other hand, the Automatic generation method produces outputs
wherein the modules are assembled to depict an input image. This system speeds
up the process of design and deployment of one visual identity design as well
as it generates outputs visual coherent among them. In this paper, we
compressively describe this system and its achievements.
