For Investors
Financial Model
Unit economics, sensitivity analysis on the levers that matter, and a candid risk register.
Unit Economics
Sensitivity
| 30% attach | 40% attach | 50% attach | 60% attach | 70% attach | |
|---|---|---|---|---|---|
| $60 CAC | 4.48 | 4.80 | 5.12 | 5.44 | 5.76 |
| $90 CAC | 2.98 | 3.20 | 3.41 | 3.62 | 3.84 |
| $120 CAC (central) | 2.24 | 2.40 | 2.56 | 2.72 | 2.88 |
| $150 CAC | 1.79 | 1.92 | 2.05 | 2.17 | 2.30 |
| $200 CAC | 1.34 | 1.44 | 1.54 | 1.63 | 1.73 |
Methodology
Blended LTV = hardware gross profit ($249 - $37.50 COGS = $211.50) + subscription LTV (attach% x 24 months x $8/mo sub gross profit). LTV:CAC = blended LTV / CAC. Central case = $120 CAC (DTC pet-hardware norm per pe-dev, NOT the decision's optimistic $35) x 50% attach = 2.56:1. Note the decision.metrics 5.1:1 assumed a $35 CAC and is only reachable at $60 CAC; realistic case is 2-3:1.
Monthly Cashflow Strip
| Month | Operators | MRR | Burn | Cash |
|---|---|---|---|---|
| M1 | — | $0 | -$20,000 | $225,000 |
| M6 | — | $0 | -$22,000 (incl. $35K tooling in Phase 2) | $110,000 |
| M9 | — | $12,500 | -$13,500 | $58,000 |
| M12 | — | $45,000 | +$10,000 | $48,000 |
| M18 | — | $110,000 | +$57,500 | $95,000 |
Modeled from the $245K raise. Opex ramps 2-3%/mo on the headcount plan; first units ship ~M9 (realistic per the feas 9-12 mo timeline, NOT the 90-day claim); revenue turns cash-positive ~M11-12 after the trough, reaching a ~$50K MRR break-even run-rate by ~M18. M1/M6/M9/M12/M18 shown as exemplars; full month-by-month available on the Financial Model tab. All figures claim_confidence: modeled — they hold only if sub attach >=40% and CAC <$150. Modeled
Risk Register
Risk register
| Risk | Severity | Likelihood | Mitigation | Confidence |
|---|---|---|---|---|
| Dog-pose classifier misclassifies during an anxiety event and rewards a fear state — device becomes iatrogenic, the exact failure the brand attacks; one viral 'Pawvlov made my dog worse' thread collapses the positioning | Critical | Medium | Ship dispense-DISABLED (log-only) until >95% calm/anxious accuracy + <2% false-positive fear-reward on held-out data; 0.95 confidence floor is fail-closed and firmware-locked (not app-editable); SAB signs off before dispense enables; documented audio-only fixed-interval pivot if <95% | Modeled |
| BIPA / two-party-consent class-action exposure — always-on camera + mic doing pose classification in IL/TX/WA biometric states and CA/FL/IL/MA/PA/WA recording states | High | Medium | On-device-only inference (no frames/audio leave the unit), two-party-consent disclosure at onboarding for the six states, litigation-grade privacy opinion before beta; Facebook $650M / TikTok $92M precedent budgeted for | Sourced |
| <40 dB auger across variable treat sizes is aggressive — mechanical noise is the #1 failure mode for treat dispensers and the exact thing we differentiate on | High | Medium | Acoustic chamber (Basotect + MLV, ~23% of BOM), single-flight fixed-rotation auger, current-sense stall recovery; validated in end-of-line test before tooling commit | Modeled |
| Injection-mold tooling is the dominant timeline + capital gate (8-12 wk lead time); a single mold revision blows schedule and budget | Medium | High | Single M-SKU tool ($35K vs $105K for 3 SKUs) cuts revision exposure; FCC/UL parallelized with mold lead time; S/L deferred to v2 family-mold inserts | Sourced |
| Subscription attach assumed 70% has no benchmark (Furbo Nanny <30%, Peloton <50%); at 40% attach break-even slips past month 24, blowing the $245K runway | High | High | Model 40% attach as the base case; consider freemium (free storm detection, paid behavioral tracking) to lift attach; break-even math must hold at 40% | Sourced |
| Well-funded incumbents (Furbo/Tomofun $50M+, PETLIBRO $15M) ship an 'anxiety mode' SKU/firmware in 12-18 months; silent auger is not patentable and SAB endorsement transfers | High | High | Race to a proprietary labeled dataset + installed-base switching cost + first-mover clinical credibility; prioritize penetration speed over margin in Y1 | Sourced |