Investors
AI Enterprise Education (AIEE) is building the next-generation learning platform. We are raising capital to accelerate product development and go-to-market.
Fund Raise Deck
- 1.Problem: Educators lack time and tools to personalize learning at scale; districts need measurable outcomes and efficiency.
- 2.Solution: AIEE delivers AI-powered lesson planning, assessments, rubrics, and student tools integrated into existing workflows.
- 3.Market: K–12 and enterprise education; global EdTech growth with strong demand for AI-assisted teaching and learning.
- 4.Traction: Platform live; educators and institutions adopting our tools. Case studies and testimonials on the site.
- 5.Use of funds: Round 1 — product and traction (US$240K, 1 year). Round 2 — GTM scale (US$500K, 1 year).
- 6.Team & mission: Mission-driven team focused on accessibility, impact, and integrity. See Mission, Team, and Advisors for more.
A PDF deck is available on request. Contact us for the full investor deck.
Raising now & next
US$240K
12 months
Raising US$240K to fund 12 months of core operations (OPEX).
US$20K / month
per month
Monthly team payroll baseline before non-payroll operating allowances.
- CAITO — US$9K (1 people)
- CMO — US$2K (2 people)
- CSO — US$2K (2 people)
- CDO — US$2K (2 people)
- CCO — US$2K (2 people)
- CPO — US$3K (1 people)
- Monthly total: US$20K
Additional monthly OPEX includes office rental, transportation, entertainment, and food & beverage allowances. Overtime, weekend, and public-holiday rates apply according to Singapore labor law.
Use of funds (allocation)
- Product & engineeringUS$112K (47%)
- Personnel (core team)US$72K (30%)
- Marketing & initial CACUS$24K (10%)
- Infrastructure & toolsUS$16K (7%)
- Legal, compliance & G&AUS$16K (7%)
- Sales & marketing (CAC)US$200K (40%)
- Personnel (GTM + product)US$180K (36%)
- Infrastructure & scaleUS$60K (12%)
- Partnerships & channelsUS$40K (8%)
- Legal, compliance & G&AUS$20K (4%)
CAC, LTV & key assumptions
Customer acquisition cost (CAC) and lifetime value (LTV) drive scalability. Targets below are illustrative and will be refined with data.
| Metric | Value |
|---|---|
| CAC (per educator, blended) | US$45 |
| CAC (per institution / district) | US$2.2K |
| LTV (educator, 24‑mo assumption) | US$180 |
| LTV (institution) | US$12K |
| LTV : CAC ratio (target) | 3:1 to 5:1 |
| CAC payback (target) | 12 months |
| ARPU — educator (monthly) | US$8 |
| ARPU — institution (monthly) | US$450 |
| Annual churn (target) | 15–20% |
Illustrative 2-year outlook
Based on Seed (Year 1) and GTM (Year 2) funding. Revenue from subscriptions and institutional deals; costs include team, infra, and GTM.
| Metric | Year 1 | Year 2 |
|---|---|---|
| Revenue | US$80K | US$420K |
| Operating costs | US$55K | US$380K |
| EBITDA | US$25K | US$40K |
| Funding (assumed) | US$240K | US$500K |
Cost breakdown
| Cost line | Year 1 | Year 2 |
|---|---|---|
| Personnel | US32K | US220K |
| Marketing & CAC | US8K | US95K |
| Infrastructure & software | US6K | US35K |
| Product & R&D | US5K | US20K |
| Partnerships & channel | — | US8K |
| G&A, legal, other | US4K | US2K |
| Total operating costs | US$55K | US$380K |
Key metrics (targets)
| Metric | Year 1 | Year 2 |
|---|---|---|
| Paying educators | 800 | 4,200 |
| Institutions / districts | 12 | 85 |
| Runway (months) | 12 | 12 |
Year 1 focus
Product-market fit, pilot customers, and revenue path to ~US$80K. Runway from US$240K seed.
Year 2 focus
GTM scale with US$500K: sales, marketing, partnerships. Target ~US$420K revenue.
Projections are illustrative and depend on market conditions, execution, and adoption. Ask for detailed assumptions and scenarios.
What we will achieve with this capital
With Seed (US$240K)
- Launch core AI tools (lesson plans, rubrics, quizzes, worksheets).
- Onboard 10+ pilot schools or districts.
- Reach ~US$80K ARR and validate pricing.
- Establish initial brand and case studies.
With GTM round (US$500K)
- Scale outbound and partnerships; CAC efficiency targets.
- Grow to 80+ institutions and 4,000+ paying educators.
- Reach ~US$420K ARR and path to US$1M+.
- Expand product set and integrations.
Risks & key assumptions
Investors should consider the following. We update assumptions as we gather data.
Key assumptions
- Revenue mix: blend of individual educator subscriptions and institutional contracts; institutional ARPU and retention assumed higher.
- CAC targets assume efficient content, partnerships, and product-led growth; actual CAC may vary by channel.
- Churn and LTV depend on product stickiness and renewal rates; we will track cohort retention.
- Runway assumes funds are deployed as per use-of-funds; no material change in scope or timeline.
Risks & mitigations
- Market / adoption: EdTech budgets and adoption vary by region; we focus on clear ROI and pilot programs.
- Competition: We differentiate on AI quality, workflow fit, and accessibility; we monitor competitive landscape.
- Execution: Hiring and GTM execution are critical; we prioritize key roles and metrics.
- Regulation / compliance: We track education and AI-related regulation and design for privacy and safety.