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Aziz · Saif   Investor Research
Report 01 · Food Service · Restaurant Tech

AI-Native Meal Planning & Chef Marketplace
From service-led validation to a scalable consumer food-tech platform

Region: United States · multi-metro launch Stage: Late Seed → Series A Ask: $1.0M (SAFE, $27.5M cap)

Investor Dashboard

Key financial KPIs at a glance — % against revenues in QuickBooks-statement style.

Y1 Revenue
$3.5M
Initial scale
Y3 Revenue
$22.0M
↑ Year-3 target
Y5 Revenue
$95.0M
↑ Year-5 target
Gross Margin
45%
% vs Revenue
EBITDA Margin
18%
% vs Revenue
CAC Payback
10 mo
Time to recoup
LTV / CAC
3.2x
Unit economics
Capital Ask
$1.0M
Late Seed → Series A

Revenue Mix · % of Top Line

Cost Structure · % of Operating Cost

Use of Funds · % of $1.0M Raise

Problem & Solution

From service-led validation to a scalable consumer food-tech platform

The Problem

Cooking at home is fragmented across meal planning, grocery coordination, dietary constraints, and execution — driving takeout dependency, food waste, and burnout. Professional chef support exists but is expensive, disconnected from the everyday meal workflow. 78% of households want to cook more but lack time or confidence.

Our Solution

An AI-powered consumer platform combining personalized meal planning, automated grocery coordination through partner stores, and on-demand access to vetted chefs. The product transitions a high-touch service business into a software-led platform using behavioral data from real households to power smarter recommendations.

Market Opportunity

$15B+ TAM addressable today

Meal-kit ~$10B · 12% YoY · Chef services ~$5B · 15% YoY

Four streams — $10/mo freemium subscription, up to 20% commission on partner grocery orders, $30–$150 chef discovery referral fees, and B2B data/AI licensing to CPG and retailers. Diversified mix protects unit economics as the marketplace scales.

Financial Statements · % vs Revenue

QuickBooks-style readout — every line shown as percentage of its parent total.

Revenue Mix

Revenue Stream% of RevenueShare
Premium Subscriptions35.0%35%
Grocery Commissions30.0%30%
Chef Marketplace Fees20.0%20%
B2B Data & API15.0%15%
Total Revenue100.0%100%

Cost Structure

Cost Line% of CostShare
Engineering & AI Infra35.0%35%
Performance Marketing & CAC25.0%25%
Chef Network Ops15.0%15%
Cloud & Data10.0%10%
G&A & Compliance10.0%10%
Customer Support5.0%5%
Total Operating Cost100.0%100%

Use of Funds — $1.0M Raise

Allocation% of RaiseShare
Product & AI Development50.0%50%
Growth & User Acquisition30.0%30%
Chef & Supply Expansion15.0%15%
Legal & Admin5.0%5%
Total Use of Funds100.0%100%

Traction & Proof Points

Moat & Exit Strategy

Defensible Moat

Behavioral data from operating a real meal-prep service produces a personalization engine competitors cannot replicate from cold. The full-stack workflow (plan → shop → cook → chef-assist) creates compounding switching costs as user profiles deepen.

Exit Path

Strategic acquisition by a major grocery retailer, meal-kit incumbent, or CPG holding company seeking household data, with a 5-year liquidity-event target.

Key Risks