The discovery and development of new molecules and materials remain constrained by slow, labor-intensive experimental workflows that are poorly matched to the complexity of modern chemical design spaces. To address these limitations, we are developing a data-rich self-driving laboratory (SDL) ecosystem that integrates reaction and reactor engineering, robotic experimentation, high-throughput synthesis, in-situ multi-modal characterization, and artificial intelligence-guided decision-making to autonomously explore complex chemical spaces.