Full mock marking
Photograph your handwritten script — any past paper, any board. Every question marked against the real mark scheme in ~2 minutes.
Every paper marked against real exam board mark scheme principles. Not generic AI. Not guesswork. Subject-specific engines built to behave like real examiners.
The methodology
Most AI marking tools use a single generic prompt. The AI tries to mark everything — Maths, English, History — the same way. The result is generic feedback that does not match how real examiners actually mark.
Examevo is different. We built 20+ separate marking engines — one per subject family — each trained to follow the exact rules examiners use for that subject, across 5 UK boards.
Each engine knows the exact marking principles for its subject. Maths awards method marks and accuracy marks separately. Biology checks command words. History requires provenance on source questions. English Literature needs context linked to meaning.
Engines follow AQA, Edexcel, OCR, WJEC/Eduqas, and CCEA conventions. Grade boundaries, assessment objectives, and level descriptors are taken from published mark schemes — not generic rubrics.
We do not just say "wrong." We identify the specific error type — method error, unit error, missing causal link, incomplete definition — so the student knows exactly what to fix and how.
Subject engines
20+ GCSE subject engines. Each marked by a purpose-built engine that knows the specific rules.
Internal QA benchmarks
These are internal QA targets, not independent validation. We publish them so you know what we optimise for — and what we are still proving with schools.
The Examevo standard
Full mock scripts, compounding feedback, and parent visibility — built for how students actually prepare.
Photograph your handwritten script — any past paper, any board. Every question marked against the real mark scheme in ~2 minutes.
Weak topics, error patterns, and grade trends build across every paper you sit — so revision targets what actually costs marks.
Linked parent dashboard with progress, weak spots, and next steps — included free on every student plan.
Honest limitations
AI marking is powerful but not perfect. Here is what we are honest about.
Very unclear handwriting may reduce marking accuracy. We recommend writing clearly and checking that photos are well-lit and in focus before uploading.
We aim for high agreement with AQA mark scheme principles. Individual questions involving ambiguous handwriting or novel question types may vary — see milestones below for validation status.
AQA sets real grade boundaries only after marking each exam series, using cohort performance. Examevo’s predicted grades therefore use approximate historical boundaries and official mark schemes as a guide — not a promise of what AQA will award on results day.
Continuous improvement
Every paper submitted helps us improve. When students flag feedback as incorrect or unhelpful, we review and update the relevant engine. When AQA publishes new examiner reports after each series, we update our engines to reflect what real examiners said about real papers.
We are building towards independent validation — working with real GCSE students and comparing our predicted grades to actual AQA results. As this data builds, we will publish it here.
If you are a teacher or school and would like to participate in our accuracy validation programme, contact us at hello@examevo.com
First paper free. No card required.