The broader/commercial impact of this SBIR Phase II project is to transform how educators analyze and respond to student learning by providing real-time insight into qualitative work such as essays, assignments, and lab reports at a scale that was previously impossible. The project addresses a long-standing challenge in education: the difficulty of systematically analyzing open-ended student work in a timely and efficient way. This technology applies artificial intelligence and natural language processing to help teachers and administrators access actionable insights that inform instructional decisions and improve student outcomes. This technology advances scientific and educational understanding by enabling real-time analysis of unstructured learning data, an area that has historically been difficult to scale. The initial market includes K–12 public schools, independent schools, and higher education institutions. As schools seek secure, scalable, and ethical AI tools, this technology offers a clear commercial opportunity. The platform’s ability to integrate into instructional workflows, such as Learning Management Systems, and keep data fully within institutional control offers a durable competitive advantage. By year three, the company expects to serve hundreds of schools, helping educators become more responsive in their teaching. This Small Business Innovation Research (SBIR) Phase II project implements a multi-agent artificial intelligence and natural language proces