GradeThis.ai
GradeThis.ai
Why GradeThis exists
The story behind building grading infrastructure for written work in modern education
GradeThis.aiWritten work
rubric
Every criterion stays visible while the score is being formed.
review
Teachers can accept, rewrite, or reject a suggestion without losing the thread.
export
Annotated PDFs, gradebook files, and audit history move out cleanly.
GradeThis.ai
Why handwritten assessments persist
Handwritten exams became mandatory in many settings for a simple reason: online assessment made cheating too easy.
For teachers, grading that work is a tedious soul-draining task they get nothing from. Sometimes they don't even get paid for the time.
During COVID, schools saw firsthand how hard it was to preserve integrity in fully online assessments
Students could use Chegg, text each other, or now use AI tools with very little friction
Good old-fashioned handwritten assessment remains one of the clearest ways to evaluate authentic work
Platforms like WebAssign are optimized for final answers
AI has made cheating too easy
Students cannot clearly show their work or explain each step
Structured forms can do part of the problem setup for students, robbing them of walking through the thought process
Teachers lose visibility into reasoning and have less basis for fair partial credit
GradeThis.ai
The Solution: GradeThis.ai
A grading pipeline built for handwritten work — AI does the heavy lifting, humans keep control.
- Raw Submissions
Handwritten or digital assignments
- AI Grading Engine
Consistent criterion-level scoring
- Human Review
Final approval & rich feedback
GradeThis.ai
Why now
Three forces are colliding:
Schools are under pressure to do more with limited instructional time
AI is making cheating easier in answer-only systems
Educators still need authentic assessments that capture reasoning, not just outputs
GradeThis.ai
Our team
Our founding team comes from a cross-functional background, spanning, alumni of the Harvard Graduate School of Education, clinician educators at Stanford Medicine, and engineers with experience at Google, Apple, and TikTok.
Stanford Medicine
TikTok
Apple
What brought this team together was a shared belief: knowledge assessment is broken, and AI has given us the opportunity to rebuild it with more rigor, fairness, and scale.
GradeThis.ai
How we compare
Most platforms were built for multiple-choice and final-answer grading. GradeThis was built for real student work.
| Feature | GradeThis | WebAssign | Pearson MyLab | McGraw Connect |
|---|---|---|---|---|
| Grades handwritten work | ||||
| Evaluates reasoning, not just answers | ||||
| Fair, rubric-based partial credit | ||||
| Resistant to AI-assisted cheating | ||||
| AI-assisted grading with human review | ||||
| Works with existing paper exams | ||||
| Per-criterion feedback for students |
Based on publicly available product documentation as of early 2026.
GradeThis.ai
Our vision
Assessment should reflect how students actually learn, not just whether they typed the final answer into a box.
Faster for teachers
Fairer for students
More consistent for schools
More reflective of real learning
We are building the grading infrastructure for written work in modern education.
GradeThis.ai
See how GradeThis works
Assessment should reflect how students actually learn, not just whether they typed the final answer into a box.