Presear AutoGradeX uses AI to grade subjective answers, essays, and assignments — providing consistent rubric-aligned scoring, detailed student feedback, and faculty workload reduction of up to 70%.
Core Capabilities
AI-native capabilities designed to eliminate manual work and surface intelligence at the right moment.
AI grades long-form, descriptive, and essay answers against faculty-defined rubrics — with confidence scores and flagging of borderline cases for human review.
Every graded submission receives detailed AI-generated feedback explaining what was done well, what was missing, and how to improve — at scale.
Faculty define marking rubrics with weighted criteria, sample answers, and acceptable variation ranges — which AutoGradeX uses to calibrate its scoring for each course.
Track score distributions, identify questions where students consistently underperform, and compare cohort performance across semesters — supporting curriculum improvement.
Real-World Impact
Outcomes achieved by organisations that deployed Presear AutoGradeX as part of GentrikOS.
Faculty grading time for a 500-student cohort's essay assignments reduced from 3 weeks to 3 days — with student satisfaction scores for feedback quality increasing by 28%.
Automated grading of written competency assessments for 2,000 employees annually — enabling consistent scoring standards across geographically dispersed training cohorts.
Piloted AI-assisted grading for 10,000 descriptive answers — with AI grading agreeing with human markers within 5% on 87% of answers.
Part of
Presear AutoGradeX is one of the modules inside PresearGentrikOS's Education OS. All modules share a unified database — so data flows freely without integration overhead. Explore the full OS →
Get a personalised walkthrough of Presear AutoGradeX and understand how it fits into your existing operations in 30 minutes.