EduSageAI is designed to help educators grade faster while keeping teacher oversight in place. This page summarizes the public student-data handling and procurement signals schools often review when evaluating AI tools.
EduSageAI is built as an AI-assisted grading workflow, not an automatic final-grade publisher. Teachers can review, adjust, and finalize results before grades are released.
Schools reviewing the platform should confirm local policy requirements, retention expectations, access controls, and any required agreements before deployment. EduSageAI positions these workflows as institution-reviewable rather than opaque defaults.
FERPA-focused reviews commonly ask about access controls, data processing scope, retention windows, model-training restrictions, and whether human review remains part of the grading workflow. EduSageAI encourages that review before institution-wide adoption.
EduSageAI's public privacy statements say data accessed via Google Workspace APIs is not used to develop, improve, or train generalized AI or machine-learning models. Institutions with stricter requirements should request formal confirmation during procurement review.
For procurement, student-data, or FERPA-related questions, contact contact@edusageai.com.