RavenGrader
RavenGrader is an AI-powered grading platform that lets instructors upload an entire class's handwritten exams at once and grade every submission in parallel against their rubric. It reads messy handwriting, hand-drawn diagrams, and non-linear scratch work to award partial credit, then delivers per-student feedback and question-level analytics. The platform is FERPA-compliant and integrates directly with Canvas for seamless gradebook sync.
- Education Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Instructors of large classes face the time-consuming burden of manually grading stacks of handwritten exams, often sacrificing the depth and personalization of feedback due to time constraints. This leads to inconsistent grading across submissions and delayed feedback that reduces its learning value for students.
Solution
RavenGrader is an AI-powered grading platform that processes an entire class's handwritten exams in parallel, using a single click to evaluate every submission against the instructor's rubric. The system is designed to understand real student work, including messy handwriting, hand-drawn diagrams, circuits, and non-linear scratch-work reasoning, ensuring that partial credit is awarded for correct steps even when the final answer is wrong. It provides each student with clear, problem-specific feedback on what they did well, where they went wrong, and how to improve, delivered while the exam is still fresh in their minds. For instructors, RavenGrader offers question-by-question analytics, score distributions, and identification of the most common mistakes, enabling targeted teaching interventions. The platform is FERPA-compliant and integrates directly with Canvas, allowing for a seamless workflow from exam upload to gradebook sync.
Target Audience
Primary users are university and college instructors teaching large courses, particularly in STEM fields like mathematics, engineering, and the physical sciences, who grade handwritten exams and want to provide consistent, detailed feedback without sacrificing their evenings.
Features
- Batch upload and parallel grading of an entire class's exam stack in one action
- AI recognition of messy handwriting, hand-drawn diagrams, circuits, and non-linear scratch-work reasoning
- Rubric-based evaluation that awards partial credit for correct steps in incorrect final answers
- Automated per-student feedback on every problem, including strengths, errors, and improvement suggestions
- Question-level analytics showing average scores, score distributions, and difficulty metrics
- Common-mistake identification per problem to highlight class-wide learning gaps
- FERPA-compliant architecture with native Canvas integration for gradebook synchronization
- Confidence flags that surface grading uncertainty for instructor review
- Support for iPhone HEIC photo uploads and rejection of password-protected PDFs with clear error messages
- Retryable grade release to Canvas, preventing silent failures