Our Partnership Process
A transparent, stage-based approach to building your custom AI learning solution.
| Partner Type | Student Population | Est. Annual Platform Fee | Potential Annual Revenue | Potential Net Revenue |
|---|---|---|---|---|
| Tuition Center | 1 - 50 Students | ~S$5,000 / year | S$6,000 | S$1,000 |
| Tuition Center | 51 - 200 Students | ~S$12,000 / year | S$24,000 | S$12,000 |
| Educational Institute | 201 - 500+ Students | Custom | > S$60,000 | Contact Us |
*All figures are estimates. Final pricing will be provided in a formal proposal after consultation.
Stage 1: Discovery Call
Initial Consultation (30 mins)
A short, focused call to understand your center's curriculum, student base, and business goals. We'll discuss how our AI can transform your existing teaching materials.
Key Deliverables
- Understanding of your core content
- Initial assessment of platform fit
Stage 2: Scoping & Content Review
Curriculum Analysis
We conduct a high-level review of a sample of your curriculum (e.g., one subject, a few chapters) to determine the scope of the project and the effort required for content ingestion and AI model tuning.
Key Deliverables
- Content structure analysis
- Identification of key learning objectives
Stage 3: Formal Proposal
Proposal & Phased Estimate
Based on the scope, we provide a detailed proposal outlining the project timeline, deliverables, and a phased cost estimate (e.g., setup fee, monthly licensing).
Key Deliverables
- Detailed Statement of Work (SOW)
- Transparent cost breakdown
- Project timeline
Stage 4: Deployment
Platform Go-Live
Upon agreement, we begin the white-labeling and deployment process. Your custom-branded platform is typically ready within a few weeks.
Key Deliverables
- Branded learning application
- Admin dashboard access
- Staff onboarding session
1. Executive Summary
A high-level overview of our proposed solution, aligning our platform's capabilities with your institution's strategic objectives for digital learning and curriculum monetization.
2. Technical Solution
- White-Label Platform Architecture: Details on the custom-branded web application, hosting environment (GCP/Firebase), and scalability.
- Content Ingestion Pipeline: Our process for transforming your source materials (PDFs, DOCX, etc.) into structured, interactive content using our AI models.
- AI & Machine Learning Framework: An explanation of our "Proprietary by Process" model, ensuring AI safety, zero hallucination, and content-grounded question generation.
3. Data Security & IP Ownership
- Data Sovereignty: Confirmation that your institution retains 100% ownership of your proprietary curriculum and all generated user learning data.
- PDPA & GDPR Compliance: How our platform adheres to data privacy regulations.
- Cognitive Biometrics as a Data Asset: An overview of how user interaction data can be anonymized and aggregated to create a valuable, proprietary data asset for future AI/ML research.
4. Implementation Plan & Timeline
A phased rollout plan, from initial setup and content migration to a pilot program and full enterprise deployment, including key milestones and deliverables.
5. Commercials
A transparent breakdown of costs, including one-time setup fees, annual licensing costs, and pricing for optional services like custom feature development or dedicated support.
Ready to start the conversation?
Request a Consultation