ViFiX AI — Data Room

Financial model and 5M financing documents

Real data (from Firebase)

Projected (model assumptions)

Computed (derived from inputs)

Pitch Deck

M0 = April 2026. Pre-Seed phase: M0-M5. Seed: M6-M17. Series A: M18-M24.
Organic user acquisition (TikTok, YouTube, Instagram) at $0 cost — founder-driven content.
Paid acquisition starts at M12 (post-Seed funding). FB Ads CPA = 50% of ARPU.
Influencer rev-share model: creators earn commission, cost booked as marketing expense.
Net revenue = 80% of Gross MRR (20% deducted for payment processor fees, refunds, chargebacks).
AI API costs decrease per user over time due to prompt caching, batching, and volume discounts.
Churn improves from 12% to 5% as product matures and retention features ship.
Conversion rate improves from 3.2% to 6.0% with onboarding optimization and social proof.
LTV = ARPU / monthly churn rate. LTV/CAC shown as "organic" when marketing spend = $0.
ARPU grows from $14.20 to $20.60 via plan upgrades (BASE $8, PLUS $18, PRO $49) and top-ups.
Salaries grow with team size: 2 founders at M0, scaling to 16 by M24.
Cash balance = running sum of EBIT. Seed/Series A injection amounts TBD (shown as $0 placeholder).
Valuations are indicative estimates, not guaranteed — subject to market conditions and traction.