Pre-seed memo · Confidential · aischoolforgirls.com/investors

AI School for Girls — the first paid, year-long, girls-only online AI school (ages 10–15)

The category is empty. The window is measurable. The founder has done this before. A subscription education business built inside a documented developmental window no incumbent can serve without breaking its own model.

$0Bcurrent category revenue — no scaled paid girls-only AI school exists

1% ≈ $140M+ARR per 1% of 12M US girls 10–15 at $99–149/mo — arithmetic, not projection

~12MUS girls aged 10–15 (core population)

Cohort 1proof date: cohorts begin; CAC + retention become real numbers

Why now — the scissors

US occupations requiring AI fluency grew ~7× in two years (McKinsey workforce research) while the American pipeline runs backwards: women's share of US CS degrees fell from 37% in 1985 to ~20% today (NSF/NCWIT), and women hold 26.7% of US computing jobs — below the 1990 peak (BLS). The pipeline break is documented at age 11 (Microsoft/NGCP/AAUW): girls' STEM interest peaks then declines through 15, on confidence, not ability. Meanwhile 13% of US parents plan to pay for AI classes this year (Deloitte 2026, n=1,207) — a brand-new budget line forming in real time. We enroll at 10 and keep the customer to 15.

Product & model

36-week live school year · cohorts of 12, same teacher all year · two age bands (10–12, 13–15) · $99/mo founding, $149 standard. Modeled contribution margin at capacity: ~54% founding / ~69% standard at midcase costs (ranges 41–62% and 61–75% across the stated cost band). Expansion built in: mentor sessions, workshops, summer intensives, sibling seats, and five years of re-enrollment per girl — the NRR engine. All figures modeled and labeled; founding-cohort actuals replace them in Q4 2026.

Moat (not a wrapper)

Trust infrastructure: COPPA-aligned, parent-owned accounts, zero student-side trackers — the buying criterion, and a rising regulatory floor.
Cohort lock-in: her teacher, her 11 classmates, her half-built capstone. Retention is the product.
Category IP: 36-week outcome-per-class curriculum + the brand on the confidence-window research. Model releases grow this market; they can't replicate a trusted school.

Founder

Mira Wattar — ex-VP Global Marketing, EchoNous (AI med-device): built the engine behind 15,250+ physician leads, 650 qualified appointments.
Fujitsu Frontech NA, Hyundai Technology; founder, Wattar Digital (AI demand-gen). Advisor, Loyal VC; Founder Institute mentor.
The #1 risk in consumer ed is CAC. That's her 15-year specialty — this funnel is the live demo.

Competition — structurally absent

AI education took $4.2B of VC in 2025 — 62% of all edtech funding (HolonIQ) — across 2,800+ startups that are nearly all software tools. The school lane stays empty: Girls Who Code / Kode With Klossy: excellent, free, short-format — structurally can't charge. iD Tech, Create & Learn, CodaKid: paid but co-ed, drop-in, general-coding-first. Outschool: marketplace, structurally agnostic. Occupying "girls + AI + full school year" requires each to abandon its model. The seat is empty.

The round

Pre-seed on a SAFE — a call option with a concrete catalyst: the first cohort's start. Sized to buy one thing: 12 months to multiple full cohorts with measured CAC, retention, and completion — the evidence a seed prices on. Use of funds: ~50% acquisition/funnel, ~30% teaching + curriculum, ~20% platform/legal/ops. Every company gets priced twice — before the proof and after. Our proof has a date.

Mira Wattar · Founder & CEO · support@aischoolforgirls.com · linkedin.com/in/mira-wattar

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