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.
You sat down with the assignment prompt and broke it apart. You defined what makes a strong thesis. You wrote down what counts as good evidence. You decided how many points for organisation, how many for style, how many for using the right sources. The rubric felt clear. It felt fair. It felt like something you could apply to every essay in the class and get consistent results.
Then you start grading. Paper 1 is easy. The rubric lines up with the essay and the marks fall into place. Paper 5 takes a little longer. Paper 12 has an argument you did not anticipate, and you spend five minutes deciding which criterion it fits under. By paper 30, you realise something uncomfortable: you are not following your own rubric consistently anymore.
The rubric that felt so clear at the start is now a blur. You gave paper 7 a 4 for evidence, but paper 28 has similar evidence and you gave it a 3. Was paper 7 better, or were you just more generous at 4 PM than you are now at 9 PM? You cannot tell. You go back and check, but the reasoning you used on paper 7 is already fading. You know the rubric is right. You know your intentions are right. But the execution is slipping, and there is nothing you can do about it because you are only human and you are tired.
This is the part that hurts. You care about your students. You care about fairness. You spent hours building a rubric so every student would be judged by the same standard. And the tool you are using to apply it is your own exhausted brain at the end of a long day.
An AI essay grader with rubric support applies your rubric the same way on paper 1 and paper 100. You upload the rubric, add custom instructions like “give credit for original argument even if I disagree with the conclusion,” and the AI grades every essay against those exact criteria. No fatigue. No drift. No 4 PM generosity fading into 9 PM harshness. You review, you edit, you approve. The rubric is yours. The consistency is the AI's.
An AI essay grader with rubric support is software that reads each student essay, evaluates it against the rubric you defined, and applies the same criteria on every paper. You upload your rubric, add custom instructions in plain English, and the AI grades every essay against those exact criteria.
GradeLab does not just match keywords or count sentences. It reads the full essay, evaluates argument structure, evidence use, reasoning quality, and writing mechanics against each rubric criterion. It explains why each mark was awarded or deducted, so you can see the reasoning before you approve.
You still have full control. You review every score and comment, override anything you disagree with, edit feedback so it sounds like you wrote it, and release grades only when you are satisfied. The AI gives you a consistent starting point. You make the final call.
GradeLab applies your rubric the same way on paper 1 and paper 100. No fatigue, no drift, no forgetting what you decided on the first essay. You review and approve every result.
Watch how AI grading and online assessment work end-to-end, from upload to results.
GradeLab does not guess a score. It reads the essay, evaluates each rubric criterion, and explains every mark decision. It works the way you intended your rubric to work.
Upload the rubric you already use. The AI applies each criterion to every essay in the batch. Paper 1 and paper 100 get the same standard, with no fatigue or drift.
Tell the AI to give credit for original argument even if you disagree with the conclusion. Tell it not to penalise for spelling when the meaning is clear. The AI follows your instructions on every essay.
Every essay gets a score for each rubric criterion: thesis, evidence, organisation, style. You see exactly where marks were awarded or deducted, criterion by criterion.
The AI reads the full essay and evaluates argument structure, evidence use, and reasoning quality. It does not just count words or match keywords.
Every student gets per-criterion feedback explaining where they lost marks and what to improve. You can edit the feedback before it goes out so it sounds like you wrote it.
Instead of reading 80 essays front to back, you review only the ones the AI flags. You see the essay, the rubric, the AI reasoning, and the suggested score before you make the final call.
GradeLab suggests. You decide. Override any score, rewrite any feedback comment, add your own notes. Nothing reaches a student until you have approved it.
Upload an entire class of essays. Track progress in real time. GradeLab processes the batch and returns suggested scores with per-criterion feedback for your review.
Students and teachers can both use GradeLab as a rubric checker. Upload the essay, select the rubric, and the AI returns a score with per-criterion feedback explaining where marks were awarded or deducted.
Explore our AI essay grader, compare essay grading AI workflows, or learn about custom rubrics for every assignment type.
| What changes | Manual rubric grading | GradeLab AI rubric grader |
|---|---|---|
| Consistency | Drifts by essay 30 as fatigue sets in | Same rubric applied on essay 1 and essay 100 |
| Time per essay | 10 to 15 minutes of focused reading | Seconds per essay, then your review |
| Feedback quality | Detailed early, generic by essay 40 | Specific per-criterion feedback on every essay |
| Rubric adherence | You interpret it differently as you tire | The AI applies your criteria the same way every time |
| Scalability | More essays means more evenings and weekends | Upload a full class at once, same workflow |
| Audit trail | Hard to reconstruct your reasoning later | Every score, comment, and override is logged |
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 rubric upload to feedback in minutes
Define criteria for thesis, evidence, organisation, and style. Upload the rubric you already use. The AI applies each criterion to every essay in the batch.
Write your rules in plain English. Tell the AI to give credit for original argument even if you disagree with the conclusion. Tell it not to penalise for spelling when the meaning is clear. The AI follows your instructions on every essay.
See every score and per-criterion comment. The AI flags essays that need your attention. Override or edit anything before releasing to students.
Students get consistent, actionable feedback against your rubric so they know exactly what to improve. Sync grades to your LMS or export in one click.
An AI essay grader with rubric support reads each student essay, evaluates it against the rubric you defined, and applies the same criteria on every paper. You upload your rubric, add custom instructions like "give credit for original argument even if I disagree with the conclusion," and the AI grades every essay against those exact criteria. You review, edit, and approve before results reach students.
Yes. You define the criteria for thesis, evidence, organisation, and style, and the AI applies them to every essay. You can also add custom instructions in plain English to tell the AI how to handle edge cases, like awarding credit for original argument structure or not penalising for spelling when the meaning is clear.
The AI does not get tired. It applies the same rubric criteria on paper 1 and paper 100 the same way. No fatigue, no drift, no forgetting what you decided on the first essay. You still review and override anything, but the starting point is your rubric applied consistently, not a generic standard.
Students and teachers can both use GradeLab to check an essay against a rubric. Upload the essay, select the rubric, and the AI returns a score with per-criterion feedback explaining where marks were awarded or deducted.
Both. The AI generates detailed per-criterion comments that explain the grade. Each rubric category gets specific feedback, so students understand exactly what to improve. You can edit any feedback comment before it reaches students so it sounds like you wrote it.
Yes. You have full control. You review every score and comment, make any changes you like, and then release the grades to your students. Nothing reaches a student without your approval.
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.