Early access
South Africa

AI assessment grading built for South African classrooms and universities.

Cleverly ingests course materials, generates rubrics from memos, and grades handwritten submissions with transparent evidence. Built for local assessment realities, from high school teachers to university lecturers.

Explainability
Reasoning + evidence per mark
Quality control
Calibration, audits, and bias checks
Efficiency
Batch grading via clustering
Control
Review-first or AI-assisted modes

Pilot fit checklist

We are currently onboarding institutions that need speed, consistency, and traceable grading decisions.

Handwritten or mixed-format submissions
Moderation and quality assurance requirements
Need to improve turnaround without losing rigor
Interest in explainable AI and audit history
Complete the request form below and we will contact you with a tailored pilot path.

Designed for the full assessment workflow.

Cleverly combines course context, rubric engineering, grading intelligence, and moderation tools into a single platform so departments can scale high-quality assessment without losing academic rigor.

Course-aware grading (RAG)

Materials ingestion, embeddings, and semantic retrieval keep grading grounded in your syllabus.

Rubric + memo extraction

Automated rubric construction with editable marks, expected answers, and memo alignment.

Adaptive learning patterns

Automatic pattern detection after corrections, with semantic embeddings for alternative answers.

Answer clustering

Group similar responses to batch grade quickly, like a supercharged moderation flow.

Multiple grading modes

Review-first, AI-assisted, and spot-check modes let you set the trust level per assessment.

Calibration + analytics

Accuracy metrics, bias detection, audit queues, and consistency reporting for quality assurance.

Sample handwritten capture

OCR extracts answers and preserves evidence locations for feedback and moderation.

Handwritten answer example

How it works

A teacher-led workflow that keeps academic judgment at the center.

  1. 1Step

    Ingest course context

    Upload study guides, textbooks, and extra materials so the grader understands your curriculum and expectations.

  2. 2Step

    Upload test + memo

    Provide question papers and memoranda so Cleverly can generate a structured rubric and mark allocation.

  3. 3Step

    AI drafts rubric & reasoning

    Cleverly produces per-question expectations, allocates marks, and generates a short understanding for each answer.

  4. 4Step

    Review, calibrate, and approve

    Educators edit the rubric, set grading mode preferences, and optionally run calibration on ground-truth scripts.

  5. 5Step

    Upload student scripts

    Batch upload scanned PDFs or phone captures. The OCR pipeline extracts answers with a fallback chain.

  6. 6Step

    Grade, audit, export

    AI grades with evidence, reasoning chains, and counterfactuals. Review, audit, and export results to Excel or CSV.

Why Cleverly is stronger.

Built for real assessment workflows, not just AI demos. Cleverly is optimized for consistency, transparency, and scale across South African institutions.

Automatic pattern detection that does not require manual rubric updates.
Semantic alternative answers captured with vector embeddings.
Answer clustering for batch grading efficiency.
Multiple grading modes for different trust levels.
Formal calibration system with accuracy and bias metrics.
RAG context from course materials and memoranda.
OCR fallback chain for complex handwriting.
Explicit preference controls for strictness, tone, and partial credit.

Cleverly vs Industry Leader

DimensionCleverlyIndustry Leader
How it learnsAutomatic pattern detection after 3+ corrections; stores patterns as embeddings for semantic matching.Primarily rubric-guided adaptation with manual intervention for nuanced edge cases.
Pattern types4 types: mark adjustment, keyword importance, alternative answers, strictness.Mostly rubric-level adjustments.
ExplainabilityReasoning chains, evidence boxes, and counterfactual analysis.Reasoning summaries and rubric references.
Preference controls8+ explicit settings (strictness, tone, partial credit, evidence specificity, etc.).Fewer explicit controls, more implicit behavior.
ClusteringGroups similar answers for batch grading (like Gradescope).Limited or workflow-dependent clustering support.
Grading modesReview-first, AI-assisted, Spot-check.Typically one or two fixed grading modes.
CalibrationGround-truth submissions, accuracy metrics, bias detection.Calibration tooling varies by plan and setup.
RAG contextCourse materials inform grading decisions.Often centered on rubric context only.
OCR robustnessMulti-step fallback chain for handwriting.Single OCR path in most workflows.
Data privacyLocal OCR option, POPIA/GDPR-aligned controls.Enterprise controls available, often region-dependent.

POPIA/GDPR-aligned controls

Consent records, retention settings, and data subject request workflows built into the platform.

Human-in-the-loop assurance

Review-first and spot-check modes, audit queues, and rubric versioning keep humans in control.

Explainable AI

Reasoning chains, evidence snippets, and counterfactual feedback make each score defensible.

Early access offer

Join the founding cohort and shape how AI grading supports South African educators.

Priority onboarding for South African institutions.
Pilot workspace tailored to your assessment types.
Direct influence on grading modes, preferences, and analytics.
Founding cohort pricing consideration before public launch.

Need to align stakeholders?

We can provide pilot documentation, sample rubrics, and a workflow walkthrough for your department.

Request early access

Share your assessment context and priorities so we can configure a relevant pilot.

We review each request manually and follow up with onboarding steps, data expectations, and timeline.

Institution-specific setup guidance
Pilot workflow recommendation (review-first/AI-assisted/spot-check)
Priority support for the founding cohort
Request Early Access
Tell us about your assessments so we can tailor the pilot to your institution.
Contact
Institution
Assessment context
Product priorities

FAQ

Does Cleverly replace educators?

No. Cleverly is designed to amplify teacher judgment with explainable AI, keeping humans in control of final outcomes.

Can we use Cleverly with handwritten scripts?

Yes. The OCR pipeline handles scanned PDFs and phone images with a fallback chain for difficult handwriting.

How does Cleverly handle fairness and bias?

Calibration tools, audit queues, and explicit preference controls let departments monitor accuracy and bias over time.