Investor Dashboard
Key financial KPIs at a glance — % against revenues in QuickBooks-statement style.
Revenue Mix · % of Top Line
Cost Structure · % of Operating Cost
Use of Funds · % of $2.5M Raise
Problem & Solution
1-on-1 AI tutoring at $9/mo vs $80/hr human tutors
The Problem
1-on-1 tutoring is the highest-leverage intervention in K-12 outcomes (Bloom's 2-sigma) but costs $40–$150/hr — accessible only to top deciles. 95% of learners get only group classroom instruction. The gap drives generational inequality and underperforming national STEM cohorts.
Our Solution
An AI tutor platform delivering Socratic, curriculum-aligned 1-on-1 STEM tutoring for K-12. Adaptive pacing, voice-first interface, parent progress dashboards, and offline-capable on low-end Android devices. $9/mo per student — 1/100th of human tutor cost.
Market Opportunity
$340B Global EdTech addressable today
K-12 AI tutoring slice $14B (2025) → $48B (2030) · 28% CAGR
B2C parent subscriptions ($9–$19/mo) + B2B school district licenses ($35K–$220K ACV). 70% blended gross margin. ~12% monthly retention churn at consumer tier, <8% annual at school tier.
Financial Statements · % vs Revenue
QuickBooks-style readout — every line shown as percentage of its parent total.
Revenue Mix
| Revenue Stream | % of Revenue | Share |
|---|---|---|
| B2C Parent Subscriptions | 55.0% | 55% |
| B2B School District Licenses | 30.0% | 30% |
| Government Programs | 12.0% | 12% |
| Premium Tutor Hybrid | 3.0% | 3% |
| Total Revenue | 100.0% | 100% |
Cost Structure
| Cost Line | % of Cost | Share |
|---|---|---|
| LLM Inference & Voice AI | 30.0% | 30% |
| Engineering & Content | 25.0% | 25% |
| Curriculum Development | 15.0% | 15% |
| Performance Marketing | 18.0% | 18% |
| Customer Success | 7.0% | 7% |
| G&A | 5.0% | 5% |
| Total Operating Cost | 100.0% | 100% |
Use of Funds — $2.5M Raise
| Allocation | % of Raise | Share |
|---|---|---|
| Curriculum Expansion (10 languages) | 35.0% | 35% |
| B2B Sales (Districts) | 25.0% | 25% |
| AI / Voice Model R&D | 25.0% | 25% |
| Government Program Ops | 10.0% | 10% |
| Compliance & Safety | 5.0% | 5% |
| Total Use of Funds | 100.0% | 100% |
Valuation, Capital Structure & Forward View
An investment is a bet on the forward plan, so a trailing snapshot isn't enough. These are derived from this report's own ask and projections — not external estimates.
Capital Structure & Funding
Funded via a SAFE — no priced round, no debt, no external rating. Capital-structure risk here is dilution and runway (the cap converts later), not credit or leverage.
How to read these
Rule of 40 sums forward revenue growth and EBITDA margin — ≥40 is healthy; below it flags growth bought at the cost of profit. Capital efficiency is Year-5 revenue per dollar raised. Entry multiple divides the disclosed cap / pre-money / asking price by Year-3 revenue, shown only where disclosed (n/d = not derivable). Verify against primary diligence.
Traction & Proof Points
- 180K active monthly users across 14 countries · 14% MoM growth
- 3 government education ministries piloting · 2 LOIs signed
- Independent study: +1.4 grade levels in math after 12 weeks of use
Moat & Exit Strategy
Defensible Moat
Curriculum-locked content library mapped to 28 national K-12 standards is 12–18 months of work to replicate. Parent-trust brand in education compounds via word-of-mouth — CAC drops ~40% in markets after Y2. Voice-first UX optimized for low-end devices unlocks emerging-market reach competitors ignore.
Exit Path
Strategic acquisition by a global education publisher (Pearson, McGraw-Hill), super-app expanding to learning, or IPO on a US/Indian exchange within 6–8 years.
Key Risks
- Consumer AI fatigue reducing B2C conversion in saturated markets
- LLM safety / hallucination risk in minor-user product (regulatory exposure)
- Curriculum localization cost as new markets are added
When the Thesis Breaks
Read this before trusting the forward numbers. This company is still pre-profit (EBITDA margin -25%). The plan assumes growth funds a path to breakeven — it breaks if growth stalls before unit economics turn: burn keeps climbing while net retention and CAC payback don't improve.
If any of the Key Risks above materialise, the forward projections in this report should be treated as suspended until the model is re-underwritten. The single most material trigger to watch: Consumer AI fatigue reducing B2C conversion in saturated markets.