Grading student work is a time-consuming and often inconsistent process for educators, especially with increasing class sizes and the need for detailed, personalized feedback. Traditional grading methods can also lack transparency and make it difficult to identify common issues across assignments, hindering opportunities for targeted instruction.

Graide is an AI-powered assessment platform designed to streamline the grading process, improve accuracy, and provide actionable feedback to students. By leveraging explainable AI (XAI) and evolutionary AI, Graide automates the identification of key issues in student submissions, reduces grading workload, and ensures consistent evaluation standards. The platform offers features such as real-time feedback, student analytics, and integration with existing learning management systems to enhance the overall learning experience. Graide helps educators focus on delivering quality instruction by providing tools to efficiently manage assignments, track student performance, and gain insights into areas needing improvement.

AI-assisted grading that reduces grading workload by up to 90%

Real-time feedback generation for students

Explainable AI (XAI) model that provides transparency in grading decisions

Evolutionary AI that learns and adapts with each input for increased accuracy

Student analytics to identify common issues and performance trends

Integration with existing learning management systems (LMS)

Assignment management tools to streamline the grading process

Interaction oversight to ensure quality student interactions

Graide is designed for higher education institutions, vocational training programs, and awarding bodies seeking to improve grading efficiency, consistency, and feedback quality.

Graide's pricing model is not explicitly available, but it is likely a subscription-based service tailored to the specific needs and scale of educational institutions.