AI that converts your SETA courses to QCTO qualifications in hours
South African businesses lack the knowledge, systems and support to successfully transition to QCTO compliance before the accelerating regulatory deadline.
QCTOForge uses specialised AI to analyse existing SETA materials, automatically map them to QCTO occupational qualifications, identify gaps, and generate compliant learning outcomes, assessment criteria, and supporting documentation. Training providers dramatically reduce the hundreds of hours typically required for manual redevelopment while ensuring regulatory accuracy.
South African training providers, corporate L&D departments, and businesses reliant on skills development programmes (especially those previously aligned with SETAs)
Fine-tuned AI models trained specifically on South African QCTO and legacy SETA documentation for superior mapping accuracy
professional
Upload PDFs, Word docs and existing course materials for AI analysis
AI maps legacy unit standards to new QCTO curriculum requirements
Visual report showing missing elements for full compliance
Auto-generates complete QCTO-aligned learning programmes and modules
One-click generation of all required QCTO submission documents
Track iterations of materials during the refinement process
Chat with AI to rewrite specific learning outcomes or assessments
Team review, comments and approval workflow for generated content
Searchable vector database of all current QCTO policies
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| industry | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| text | No | |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| name | text | No |
| original_seta | text | Yes |
| target_qcto_code | text | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| file_name | text | No |
| embedding | text | Yes |
| content | text | Yes |
| uploaded_at | timestamp | No |
Relationships:
/api/projectsCreate new migration project
/api/uploadUpload training material and trigger embedding
/api/analyzeTrigger AI mapping and gap analysis
/api/generateGenerate full QCTO compliant curriculum package
/api/chatSend message to AI refinement assistant
3 documents per project
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| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 65 | 15% | $341 | $4,092 |
| Month 6 | 410 | 22% | $3,157 | $37,884 |
AI purpose-built for South African qualifications. Upload your courses and receive complete compliant programmes, assessments and evidence guides.
Contact 15 training providers who have publicly stated they are struggling with material redevelopment on LinkedIn. Offer free migration of one qualification in exchange for case study and testimonial. Present at upcoming QCTO transition webinars as technology sponsor.
Universally available
No domain knowledge of QCTO, inconsistent outputs
Fine-tuned models and structured QCTO workflow
Strong eLearning features
No regulatory intelligence for South Africa
Purpose-built regulatory AI for local market
Proprietary dataset of mapped SETA-to-QCTO transformations that improves the model with every project completed (flywheel effect). Hard-to-replicate regulatory expertise encoded in prompts and fine-tuning.
Recent release of final QCTO occupational qualifications has created a massive wave of content redevelopment work exactly when AI capabilities have matured enough to handle structured education content with high accuracy.
AI generates inaccurate mappings leading to compliance failures
Human review gates, confidence scoring on every mapping, partnership with QCTO consultants for validation
Organisations prefer hiring consultants over trusting AI
Offer hybrid package with consultant review stamp of approval
Success: Average accuracy above 85% according to two independent reviewers
Success: 80 signups and 12 people completing full demo
Success: 15 paid conversions and average CSAT of 4.3/5
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