The crystallographic texture of a material has a direct impact on its mechanical and functional properties. As a result, texture control is an imperative part of manufacturing processes, especially those involving plastic deformation, such as rolling, which significantly impact crystallographic texture. The exact mechanisms and underlying causes behind such texture evolutions are not well understood. This study investigates the effect of initial disorientation topology on plastically deformed texture, with the help of mean field crystal plasticity simulations performed using the ALAMEL model. The simulated textures are compared to experimentally measured textures of IF steel samples with symmetric rolling reductions of 55 % and 83 %. The results indicate a clear distinction between low disorientation topologies and high disorientation topologies, most evident at high rolling reductions. The study aims to incorporate the disorientation information into the ALAMEL simulations, by re-ordering textural input orientations. The Monte Carlo algorithm is used in addition to the Hungarian Algorithm to re-order orientations based on pre-set disorientation angles. A comparison between the two re-ordering algorithms is also performed, and the Hungarian algorithm is found to have a disorientation distribution closer the ideal result. A comparison between the two yields minimal differences, with the difference between the two results being the error index local minima for minimum disorientation evolved textures and average disorientation (between 35°. Local maxima for error index comparisons are observed for very high disorientation values of over 60°. In the present study, we also result spread for similar disorientation topologies orders to discount the randomness associated with such a process. Thus, multiple files are created with largely similar disorientation characteristics but different grain orders. An overlap is observed for high disorientation simulations, at a higher frequency for lower rolling reductions. The deviation of obtained results is also highest for a disorientation angle average of 15°. The simulated texture comparisons between textures with modified and unmodified texture disorientation topology also indicate a higher disparity with minimum disorientation modified texture. A convergence is observed at a disorientation value between 35° and 40°, close to the disorientation average of the unmodified texture, and an overlap is observed at higher disorientation values. The valorisation of such a technology is also considered in this study. The current study precedes applied research and is assessed as a level 2 on the technology readiness scale, in danger of facing the ‘valley of death’. This is owing to fading interest and funding unless the private sector see’s value in the technology. The domain most aligned for the application of such technology is electrical steels, which is set to see a large increase in demand and will play a significant role in the energy transition and move towards electrical mobility. The high cost of development and price sensitive market serve as barriers of entry, and entry into the niche beachhead market of DC converters for next generation ‘more electrified aircraft’ is determined to be an appropriate valorisation strategy. The study also proposes a ‘way to market’ strategy, drawing parallels with other high tech and high value material industries, to determine ‘critical partnerships’ with high levels of integration in addition to leadership in materials and manufacturing development as key factors for a successful market entry.