How much we save universities
Universities save up to 80% on grading costs while improving consistency and speed across departments



80% Cost Reduction
Universities save on grading labor costs annually
Universities save up to 80% on grading costs while improving consistency and speed across departments



80% Cost Reduction
Universities save on grading labor costs annually
Streamlined assessment workflows that reduce administrative overhead and improve faculty productivity
80%
80% time saved
Track and analyze how universities benefit from automated grading and assessment solutions



Trusted by 1k+
Automated Extraction
Instantly converts scanned exam papers into structured digital data. Our AI automatically identifies and maps student information, question numbers, and answer regions. No manual setup required.
30+ Languages
Arabic, Chinese, German & more
Compare & Validate
Complete control over results
Understands Every Answer
Intelligently processes diverse answer formats from handwritten essays to diagrams and mathematical equations. Adapts to any exam layout while maintaining accuracy across question types.
From handwritten essays to digital quizzes, GradeLab handles it all with the same precision and speed.

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Everything you need to automate grading with AI accuracy and teacher control.
Grade 200 handwritten exams in under 30 minutes. What takes 4 hours manually now takes 20 minutes with AI.
99%+ accuracy in reading handwritten answers across all subjects. Trained on millions of real student exams.
On-premise deployment keeps your exam data secure within your institution. Zero cloud dependency.
Grade essays, math problems, diagrams, MCQs, and mixed formats. Supports 30+ languages including Arabic and Chinese.
Review and adjust any AI grade with one click. You stay in control while AI handles the heavy lifting.
See class performance, question difficulty, and student progress the moment grading completes. Spot trends instantly.
A single teacher grading one class can get by with a spreadsheet and a lot of coffee. But when your institution has 5,000 papers to grade in a week, a spreadsheet is not a system. It is a liability. Papers go missing. Totals get mistyped. Two graders apply the same rubric differently and nobody notices until a student appeals and the numbers do not match.
You know the coordination problem. You assign papers to graders, track who has finished what, chase the ones who are behind, pull samples for moderation, reconcile discrepancies, and compile the final report for the exam board. Every step is manual. Every step is a place where things go wrong.
Then a parent calls. They want to know why their child got a 71 on question 4. Which grader marked it? What rubric did they apply? Why did they deduct two marks? You open a shared drive, search through folders, find the scanned paper, and try to piece together what happened. If the grader used a different rubric version, or applied a different standard, you have no audit trail. You have a problem.
A grading system is not just a tool. It is the infrastructure your institution relies on. GradeLab is a complete AI grading system with OCR, rubric application, review workflows, moderation, audit trails, and reporting. It handles the coordination so your graders can focus on the judgement.
An AI grading system is a platform that manages the entire grading workflow for an institution. It reads submissions, applies rubrics, coordinates multiple graders, flags inconsistencies, tracks progress, and produces reports. The AI handles the repetitive work, the system handles the coordination, and your graders handle the judgement.
GradeLab lets your graders add custom instructions so the AI marks the way your institution expects. Tell it to be strict on units in physics. Tell it to award method marks even when the final answer is wrong. Tell it to follow the specific rubric your exam board approved. The AI applies your instructions on every paper, consistently, across every grader, every sitting.
The system keeps a full audit trail. Every decision, every override, every moderation check is recorded. When a student challenges a result, you can show exactly what happened and why.
| What changes | Spreadsheets and shared drives | GradeLab AI grading system |
|---|---|---|
| Coordination | You manually assign papers, track progress, and chase graders | Automatic assignment, real-time progress tracking, and deadline alerts |
| Consistency across graders | Two graders apply the same rubric differently | Same rubric, same custom instructions, every grader, every paper |
| Moderation | You pull samples by hand and compare them manually | Automatic sampling, discrepancy flags, and moderation queue |
| Audit trail | You search folders and try to reconstruct what happened | Every decision, override, and moderation check is recorded and exportable |
| Reporting | You compile the report by hand from multiple spreadsheets | One-click reports for the exam board, with full breakdowns |
| Scale | Breaks down at 500 papers, let alone 5,000 | Handles 5,000 papers with the same workflow as 50 |
GradeLab handles OCR, rubric application, multi-grader coordination, moderation, audit trails, and reporting, all in one platform built for institutional scale.
Watch how AI grading and online assessment work end-to-end, from upload to results.
GradeLab is built for institutions that need infrastructure, not a spreadsheet. It handles OCR, rubric application, multi-grader coordination, moderation, audit trails, and reporting in one platform.
Upload scanned papers, phone photos, or digital submissions. GradeLab reads the handwriting, maps answers to questions, and prepares every response for grading.
Upload your rubric once. Every grader in the system applies the same rubric, with the same custom instructions, on every paper. No more drift between graders.
Assign papers to graders automatically. Track who has finished what. Get alerts when deadlines are approaching. See real-time progress across the entire sitting.
GradeLab suggests marks. Graders review and approve. Senior graders or exam officers can moderate samples. Nothing is final until the right person signs off.
Low-confidence answers are flagged and sent to the review queue automatically. Your graders focus on the uncertain answers, not the straightforward ones.
Your graders add custom instructions so the AI follows your institution's standards. Tell it what to accept, what to penalise, and how strict to be. The AI applies it consistently.
Every decision is recorded: the original answer, the rubric applied, the AI reasoning, grader overrides, and moderation checks. Export it as a report for the exam board.
One-click reports for the exam board. Question-level breakdowns, grader performance, moderation outcomes, and grade distributions. Everything the exam office needs.
Whether it is 50 papers or 5,000, the workflow is the same. Batch processing handles the volume. The system handles the coordination. Your graders handle the judgement.
Every institution has its own grading standards. Maybe your exam board requires method marks for mathematics. Maybe your physics department deducts for missing units. Maybe your essay rubric rewards original argument structure over surface-level correctness.
GradeLab lets your graders add custom instructions so the AI follows your institution's standards. You write your rules in plain English, and the AI applies them to every paper in the batch. Here is what that looks like:
"Award full marks for method even if the final numerical answer is wrong. Deduct one mark only if the student did not show any working."
"For essay questions, give credit for original argument structure. Do not penalise for spelling if the meaning is clear. Penalise only if the argument lacks evidence."
"In physics, always check units. Deduct half a mark if the answer is numerically correct but missing units."
"For this exam, accept both method A and method B for question 7. They are alternative valid approaches."
The AI follows your instructions on paper 1 and paper 5,000 the same way. No fatigue, no inconsistency, no drift between graders. Your graders still review and override anything they want. But the starting point is your institution's standard, not a generic one.
Explore our AI grading platform, learn about automated grading, or see our detailed reporting for exam boards.
See the feature differences between GradeLab, spreadsheets, and other grading software for institutional scale.

GradeLab
Best for institutions
Handwriting OCR
Custom Instructions
Teacher Override
Audit Trail
Multi-Grader Coordination
Step-Wise Marks
Moderation and Flagging
One-Click Reporting
Governments, institutions, and AI ecosystems worldwide. Delivering secure, scalable, and accurate handwritten assessment solutions.

Official assessment workflows for certified exam bodies and large-scale handwritten examinations.
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Enterprise-grade AI grading deployed for national-level academic and workforce assessments.

Fine-tuned OCR and grading models built specifically for real-world exam handwriting.
From Upload to Exam Board Report
Upload scanned handwritten papers or digital submissions for the entire sitting. GradeLab runs OCR, maps answers to questions, and prepares every response for grading.
Upload your rubric or answer key. Add custom instructions in plain English for your institution's standards. Assign graders and set deadlines. The system coordinates the rest.
GradeLab suggests marks per question. Graders review and approve. Senior graders moderate samples. Discrepancies are flagged automatically. Nothing is final until the right person signs off.
Override any mark, edit feedback, and approve. Students receive question-level feedback. Generate the exam board report with full breakdowns, audit trails, and grade distributions in one click.
An AI grading system is the infrastructure your institution uses to grade assessments at scale. It is not just a tool, it is a complete platform: OCR to read handwriting, rubric application, multi-grader coordination, review workflows, moderation, audit trails, and reporting. GradeLab is a complete AI grading system that handles the full workflow from upload to final mark.
A grading tool helps one teacher grade one class faster. A grading system coordinates multiple graders, ensures consistency across hundreds of papers, provides audit trails for appeals, and integrates with your existing infrastructure. If you have 5000 papers to grade in a week with 10 graders, you need a system, not a tool.
Yes. GradeLab assigns scripts to different graders, applies the same rubric on every paper, surfaces discrepancies for moderation, and tracks who changed what and when. When results are challenged, every decision is visible and exportable.
Yes. Every decision is recorded: the original answer, the applied rubric, the AI reasoning, your override, and the final mark. When a student challenges a result, you can export the full marking rationale as a report for the appeals committee.
Yes. You write your rules in plain English and the system applies them on every paper. For example: "always check units in physics and deduct one mark if missing" or "accept both method A and method B for question 7." The AI follows your instructions consistently across every paper in the batch.
Yes. GradeLab integrates with Canvas, Moodle, and Google Classroom. Push grades and feedback directly to your LMS via our API. No manual export or copy-paste required.
Thomas Braun
Lecturer, Pure Mathematics, Germany
My students write formal mathematical proofs. On a convergence proof question, GradeLab correctly identified whether the quantifier structure was right, whether the chosen bound worked, and where the logical chain broke. It did not just check the final line. That is the part that matters.
Dr. Isabelle Fontaine
Associate Professor, Theoretical Physics, France
GradeLab evaluated a wavefunction normalisation problem across 140 papers and correctly flagged eleven cases where students had a correct final integral but had used the wrong boundary condition. That is precise, subject-aware marking.
Prof. James Fletcher
Mechanical Engineering, Thermodynamics, USA
GradeLab evaluated a question on entropy generation in a throttling process and correctly identified which students had omitted the system definition, which had applied the steady-flow energy equation incorrectly, and which had confused entropy change with entropy generation. That distinction matters in this subject and it caught it reliably.
Thomas Braun
Lecturer, Pure Mathematics, Germany
My students write formal mathematical proofs. On a convergence proof question, GradeLab correctly identified whether the quantifier structure was right, whether the chosen bound worked, and where the logical chain broke. It did not just check the final line. That is the part that matters.
Dr. Isabelle Fontaine
Associate Professor, Theoretical Physics, France
GradeLab evaluated a wavefunction normalisation problem across 140 papers and correctly flagged eleven cases where students had a correct final integral but had used the wrong boundary condition. That is precise, subject-aware marking.
Prof. James Fletcher
Mechanical Engineering, Thermodynamics, USA
GradeLab evaluated a question on entropy generation in a throttling process and correctly identified which students had omitted the system definition, which had applied the steady-flow energy equation incorrectly, and which had confused entropy change with entropy generation. That distinction matters in this subject and it caught it reliably.
Sophie Laurent
Science Teacher, Lycée Henri IV, Paris
Before GradeLab, I spent every Sunday grading papers instead of being with my family. Now I upload the batch on Friday evening and by Saturday morning, every student has already seen their feedback. That part still surprises me.
Maria Santos
Teacher, Escola Internacional de Lisboa
I teach four classes with 35 students each. I genuinely could not keep up with grading. GradeLab didn't just save me time - it gave me back the ability to actually know where each student was struggling.
Sarah Mitchell
Head of Academics, Wellington Grammar School
We trialled several edtech platforms before GradeLab. What stood out was that it wasn't just grading software - the student feedback loop was instant, and the quality reports for governors were exactly what we needed.
Sophie Laurent
Science Teacher, Lycée Henri IV, Paris
Before GradeLab, I spent every Sunday grading papers instead of being with my family. Now I upload the batch on Friday evening and by Saturday morning, every student has already seen their feedback. That part still surprises me.
Maria Santos
Teacher, Escola Internacional de Lisboa
I teach four classes with 35 students each. I genuinely could not keep up with grading. GradeLab didn't just save me time - it gave me back the ability to actually know where each student was struggling.
Sarah Mitchell
Head of Academics, Wellington Grammar School
We trialled several edtech platforms before GradeLab. What stood out was that it wasn't just grading software - the student feedback loop was instant, and the quality reports for governors were exactly what we needed.