Computational tools play a pivotal role in streamlining design-to-structure workflows, and at PUXANO, we are driving innovation in this area through the development of specialized platform named PROCONDOR. Our platform integrates seamlessly with open-source tools like AlphaFold 2, OpenFold, Boltz, RF Diffusion, Genie, ProteinMPNN, and Relion, and are tailored specifically for protein design and structure determination tasks. For several open source models we have retrained models and/or up-or down-stream modules developed to address specific questions in antigen design, membrane protein research or cryoEM (epitope mapping). Procondor workflows are stacked into multiple layers: protein target analysis which comprises the retrieval, analysis, and integration of data from various public and proprietary databases, providing comprehensive insights into specific protein targets. These insights are used to generate multiple protein design strategies, whether focused on preserving the native sequence or optimizing functional regions, all pursued in parallel. Each design strategy is executed via a combination of bioinformatic and de novo generative AI tools, leading to hundreds of designs. These undergo a rigorous in silico selection, significantly minimizing the need for extensive experimental validation (maximum of 24 designs), which are the starting point for a second iteration that maximizes yield, stability, immunogenicity and other features. Our wet labs are organized in such a manner that we can run larger design campaigns in parallel, thereby focusing on protein expression, stability, monodispersity, activity and functionality.