AI Model Solution for Tutoring

The agency is seeking to fund the creation of open-source, K-12 education-specific Artificial Intelligence model solutions and supporting research to enable AI math tutoring that is as effective as human experts. This grant aims to solve the problem of limited technological innovation in tutoring by developing models that improve educational outcomes. The project covers deploying the model via a standard AI inference stack such as vLLM or SGLang, integrating with an ed-tech partner for product-level evaluation and deployment, documenting implementation playbooks, performing risk evaluations, and conducting cost analyses. Bidders must be onshore organizations based in the United States to be eligible for this opportunity. The agency requires the performance of all work to be conducted offsite. Bidders must submit their responses digitally either via email or through the online portal. The agency has established a budget of up to 8,000,000 USD for this initiative. The source document does not specify evaluation criteria or key dates for this opportunity.