Grade assignments in minutes with AI

Integrate AI grading directly into existing systems

Each AI model is trained on your specific assignments and directly integrated into existing marking systems. Early tests and simulations show a reduction in marker involvement of 70-90% using our bespoke-trained AI models, while maintaining a >90% agreement rate compared to human markers.

This “marker-in-the-loop” approach focuses on aiding existing markers with pre-filled feedback and scores. Moving forward, human markers will primarily handle benchmarking, spot checks, and borderline evaluations to ensure accuracy, integrity and compliance.

Applicable in high-stakes testing for higher education and practice environments, we believe AI grading can play a significant role in reshaping the educational landscape. This movement can lead to more personalised feedback, support, and ultimately a new learning experience.

With a reduction in the marking workload, more resources can be allocated to support students and increase learning efficiency.