Deep-rooted, global education challenges that the COVID-19 pandemic has exacerbated—learning inequalities between and within countries, youths dropping out of school, and students in school but not learning—require transforming education systems at large scale to meet all children’s needs. While innovative solutions are being tested in every corner of the world, too many of them remain small. The key question is how to identify, adopt, and adapt what works and bring that to more communities with lasting impact. How can these efforts be effectively, equitably, and sustainably scaled to ensure more children are learning? In response to these questions, the Millions Learning project at the Center for Universal Education (CUE) launched a series of Real-time Scaling Labs (RTSLs) with local institutions in several countries to generate more evidence and practical guidance for policymakers, practitioners, and funders on how to scale evidence-based education initiatives. To provide concrete guidance based on key scaling principles and respond to gaps identified through the RTSLs, CUE has developed the following scaling-related tools1 in collaboration with lab partners and other colleagues. Based on empirical research, these resources are designed to foster an iterative, reflective, and data-driven scaling process, with each tool supporting different phases of the scaling journey.