$215,000 to month-18 break-even

The Problem

36 million US dogs (≈1 in 3 household dogs) suffer from noise anxiety. The gold-standard intervention — systematic desensitization plus counter-conditioning delivered by a board-certified veterinary behaviorist (DACVB) — costs $2,100 per 10-session course, and fewer than 80 board-certified specialists practice in the entire United States with 4–8 week waitlists during trigger seasons. Every available substitute has a structural gap: ThunderShirts manage symptoms without changing conditioning; sedatives suppress arousal without building new association; treat-tossing cameras deliver on owner command with loud dispensers documented to increase anxiety in sensitive dogs. § Sourced

Target Customer

Launch wedge: storm-belt urban + suburban dog owners in Florida, Texas, and the Southeast (~12M US households), plus apartment dog owners exposed to fireworks (~8M US households). Premium pet-wellness spenders (BarkBox / Chewy autoship / pet insurance holders) form the secondary wedge (~6M households). The owner profile is a stressed 24-to-54-year-old with $60K+ HHI who has already paid for a calming chew or a ThunderShirt that didn't work — willingness to spend is established; the gap is a product that actually does the work. △ Modeled

Solution

A countertop hardware device with an ESP32-S3 SoC, a 4-mic array detecting thunder's infrasound signature 4-8 seconds before the audible crack, a floor-level 120° camera reading dog body language at 5 fps, and a near-silent (sub-34 dB) food-safe silicone auger that drops a single treat into a recessed tray only when the on-device classifier confirms a sustained calm state. Three sizes (S/M/L) at $199 / $249 / $299 plus a $9.99/mo subscription for progress dashboards, session history, and cloud inference assist. The auger never fires during a fear state — that's the entire mechanism.

Why we win

Honest risks

• Tooling-commit risk: $105K across 3 chassis sizes lands before firmware reliability is proven. Gated behind Phase 2 go-signal; pre-FCC scan; toolmaker SLA ≤ 10 weeks. △ Modeled
• Classifier accuracy: On-device pose classifier under 75% on real-home data forces external NPU, breaking the sub-$4 SoC BOM. Mitigation: representative cohort training data + parallel SoC benchmarks before PCB rev 2. ◌ Assumption
• SAB defensibility: Without 3 DACVB SAB members, the clinical claim is fragile. Mitigation: engage in Phase 1 with veto over firmware; document protocol-to-literature traceability. § Sourced
• Auger jam rate: > 1 in 200 cycles drives warranty returns above 4% reserve. Mitigation: first-article inspection, treat-compatibility matrix, firmware jam-detection soft-fail. △ Modeled
• Willingness-to-pay: $249 + $9.99/mo not yet formally validated. Phase 1 includes 25 paid validation interviews at $100 incentive each to confirm. ◌ Assumption

Financials at a glance

Investment

$215,000 ◌ Assumption

Break-even

Month 18 △ Modeled

MRR at break-even

$50,000 △ Modeled

GM (M tier)

85% △ Modeled

See /inside for the full financial model, sensitivity table, and monthly cashflow exemplars.