Side-by-side comparison of AI visibility scores, market position, and capabilities
Research-backed K-8 curriculum and assessment; mCLASS is the most widely used K-3 literacy diagnostic in the US; CKLA and Amplify Science adopted by hundreds of districts. Brooklyn, NY.
Amplify is a Brooklyn-based educational curriculum and technology company that develops research-backed core instructional programs for K-8 students. Its mCLASS reading assessment is the most widely used K-3 literacy diagnostic in the United States, and its CKLA (Core Knowledge Language Arts) and Amplify Science curricula are adopted by hundreds of school districts nationwide. Amplify's programs combine print and digital materials with real-time data dashboards that help teachers monitor student progress and identify students needing intervention. The company emerged from News Corp's education division in 2015 and has raised over $700M from investors including Chan Zuckerberg Initiative and IVP. Amplify focuses on evidence-based curricula aligned to the science of reading movement, which has driven adoption as districts shift away from balanced literacy approaches. It competes with Curriculum Associates, HMH, and McGraw-Hill.
Axonify is a frontline employee learning and enablement platform using microlearning and spaced repetition to train deskless workers in retail, logistics, and hospitality.
Axonify is a frontline learning and enablement platform designed specifically for deskless and hourly workers in industries like retail, grocery, hospitality, logistics, manufacturing, and financial services — workers who are rarely at a desk, do not have corporate email accounts, and cannot be pulled off the floor for traditional classroom or e-learning training sessions. The platform delivers microlearning in short daily sessions of two to five minutes, typically accessed through a mobile device or shared terminal at the start of a shift, using spaced repetition algorithms that identify the specific knowledge gaps of each individual employee and serve the highest-priority learning content at the scientifically optimal interval for retention. This personalized repetition model builds knowledge retention more effectively than one-time training completions that fade rapidly without reinforcement.
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