High-throughput experimentation (HTE) platforms were designed to accelerate the discovery and development of organic molecules by the rapid screening and analysis of large numbers of experimental conditions simultaneously. For the purpose of this article, we define HTE as a technique that leverages a combination of automation, parallelization of experiments, advanced analytics, and data processing methods to streamline repetitive experimental tasks, reduce manual intervention and increase the rate of experimental execution in comparison to traditional manual experimentation. In conventional chemical synthesis, several sequential steps are typically undertaken, involving the setup of the reaction, mixing of reactants, reaction workup, product analysis, and product purification. To perform all of these basic chemistry tasks adequately, customizable HTE platforms are available from various laboratory instrument manufacturers or can be assembled from a combination of commercial and in-house developed equipment. Normally a HTE for organic chemistry will include a liquid transfer module, a reactor stage, and analytical tools for product characterization. When the full experimental process is automated and coupled with a centralized control system performing ML optimization, the HTE can function as a selfdriving platform where the next iteration of experiments is automatically selected by algorithm without human intervention. This section will highlight the key features of various HTE platforms, benefits, limitations, and applications to organic molecule synthesis.