Featured Case Study
FoodTech / AI
BeyondBites: the product was built. The investment case hadn't caught up.
FoodTech / AI
Saudi Arabia / GCC
Preparing $750K Pre-Seed
BeyondBites already had a working product, users could complete its core scan-to-recommendation experience, and the company was building toward AYRA, its intelligence layer, and a broader health direction. But an investor had approached the founder, and the fundraising story hadn't kept pace with the product. The original materials described features and future possibilities. What they didn't yet have: a defined business model, validated market sizing, real revenue logic, defensible financial assumptions, or a narrative that led with the investment opportunity rather than the app.
What We Did
01
Business Model & Strategic Positioning
Moved BeyondBites away from being framed as a recipe app. The repositioning: food is the entry point, AYRA is the intelligence layer, personalized nutrition and preventive health are the expansion. Revenue was staged rather than pursued all at once: Subscriptions → Commerce & Affiliates → Premium Nutrition → Enterprise Partnerships.
02
Market Sizing & ICP
Rather than lead with a broad global FoodTech statistic, we built a bottom-up Saudi market model around BeyondBites' actual first customer: urban, health-aware households across KSA and the GCC, particularly families and working adults aged 28–45 who cook at home but struggle with meal decisions, waste, and healthier eating.
03
Financial Model
A 36-month operating and fundraising model connecting customer growth, subscriptions, revenue, COGS, opex, cash, and runway. Critically, the model made the $750K Pre-Seed round stand on its own, rather than leaning on an assumed future Seed round to make the business look stronger than it currently is, roughly 24 months of focused validation runway tied to product development, AYRA, localization, acquisition, and retention.
04
Investor Narrative
The pitch shifted from "an AI recipe and health app with a lot of features" to a simpler thesis: a frequent household problem drives repeated usage, which builds proprietary behavioral context, which strengthens AYRA's recommendations, which drives retention and recurring revenue. The $750K raise was repositioned as capital to prove repeat usage, paid conversion, and scalable acquisition in Saudi Arabia, not to fund an unfocused vision.
What AYRA Actually Is
Not a chatbot or a recipe generator. AYRA is positioned as the intelligence layer: learning from household interactions, ingredients, preferences, dietary needs, accepted and rejected recommendations, to make food intelligence compound over time. We call this a potential compounding intelligence advantage, not a claim that BeyondBites already holds a mature, defensible data moat.
Market Sizing (Modeled)
~1.12M
RELEVANT SAUDI HOUSEHOLDS
~$80.2M
SUBSCRIPTION TAM
~$107M
LONG-TERM ECOSYSTEM TAM
~468K
SERVICEABLE HOUSEHOLDS
~$33.7M
SUBSCRIPTION SAM
~$1.01M
BASE-CASE SOM ARR
Base-case SOM assumes ~14,066 paid subscribers at roughly 3% penetration of the serviceable market. These are modeled market opportunities, not achieved revenue or traction.
Pricing structured as: Free → Habit ($4.99/mo) → Lifestyle ($6.99/mo), followed later by commerce, nutrition, and enterprise monetization.
CURRENT STATUS · PREPARING $750K PRE-SEED
BeyondBites went from an early product with an underdeveloped investment case to a complete investor-readiness package. The round has not closed, this reflects where the fundraising materials and strategy stand today.
Strategic Positioning
Business Model
Revenue Architecture
ICP & Segmentation
Bottom-Up TAM/SAM/SOM
36-Month Financial Model
Pricing & Monetization
Investor Narrative