An integrated LLM-driven assessment engine that automates complex grading while preserving academic integrity. Designed to reduce grading latency by 90% for pilot institutions.
"Accuracy is the benchmark. Integrity is the requirement."
Direct connection to student records. Grades and feedback loops are automatically pushed to the Faculty Hub for final validation.
Built for Canvas, Moodle, and T-Learn LMS. Modular endpoints for seamless injection into existing course lifecycles.
Global integrity metrics, batch processing overrides, and rubric calibration.
Human-in-the-loop validation, AI feedback tuning, and student performance insights.
Real-time feedback, interactive critique, and structured improvement paths.