Three products. One closed loop. Venues join on their own.
Investment ProposalThe restaurant market is fragmented. In Turkey alone — over 150,000 venues, 72% of which are independent. They use disconnected solutions for management, payments, and marketing. Guests have to wait for the waiter, ask for the check, depend on staff availability. Payment systems are not ready for a world where an AI agent places the order.
Competitors like Toast ($25B market cap) solve part of these problems — but only in the US. There is no dominant player in Turkey, Central Asia, or the Caucasus. And Toast's model is built on pushing the product to venues — they have no organic growth mechanism.
Three interconnected products, each strengthening the others and creating a network effect.
Full service cycle — from order intake to shift closure. Staff roles, kitchen display, table management, reservations, analytics, promotions, events.
When a guest pays through the app, the waiter only needs to bring the food. The guest independently connects to the table, places an order, sends it to the kitchen, pays — and leaves. Full guest autonomy, no waiting for staff.
This is the product that motivates venues to join Magia Menu. After scanning a QR code, the guest enters the ecosystem:
More guests → more venues → more guests
Universal payment protocol with pluggable adapters for any provider, orchestration and automatic failover. And most importantly — native AI agent support.
Dozens of startups embed AI into their product. But why a separate app when ChatGPT exists?
We flipped the model. The client's AI agent comes to our service, finds a venue, places an order, and pays. You can order food directly from ChatGPT without opening our app.
We don't depend on API token prices. We are the infrastructure through which transactions flow. Commission on every order — whether placed by a human or a bot.
Core revenue — 1% of every paid bill for platform operational services.
Venues top up their balance in the admin panel — commission is deducted automatically with each payment. New venues get a credit line — for example, ₺10,000 in Turkey.
The venue gets full functionality from day one, paying nothing. Its turnover can reach ₺1,000,000 before the first top-up is needed. By then, the venue will have experienced all the benefits of the system.
If the balance runs out — the venue stays on the map and keeps QR menu. For full service cycle and event feed participation, a top-up is required.
The venue's courier service
Yemeksepeti and other delivery services
Own delivery service (launching 2027)
Delivery cost depends on the chosen method and is paid separately from the operational commission.
$59.3B → $314.8B by 2033 (CAGR 16.4%)
| Market | Food Service Volume | Venues | Digital Penetration |
|---|---|---|---|
| Turkey | $16,5 B | 150 000+ | 40% |
| Russia | $32,5 B | 107 000+ | 22% |
| Kazakhstan | $2–3 B | 7 600+ | 12% |
| Georgia | $1,1 B | 4 000+ | CAGR 17% |
| Total | $52+ B | 268 000+ |
Turkey, Russia, Kazakhstan, and Georgia are pilot markets. Our goal is to be present in every country where it makes sense. The platform already supports 4 languages; this list will actively expand.
There is no dominant technology player in any of the pilot countries.
Toast, with a similar strategy in the US market alone, grew from zero to $25B market cap and 164,000 connected venues.
| 2026 (pilot) | 2027 (scaling) | 2028 (market capture) | |
|---|---|---|---|
| Venues | 100 | 10 000 | 33 000 |
| GMV | $12M | $1.2B | $4B |
| Revenue (ARR) | $150K | $15M | $50M |
Benchmark: vertical SaaS with embedded payments is valued at 7–15x revenue. Toast received a 10.5x multiple at IPO.
| Scenario | Multiple | Valuation 2027 | Valuation 2028 |
|---|---|---|---|
| Conservative | 7x | $105M | $350M |
| Base | 10x | $150M | $500M |
| Optimistic | 15x | $225M | $750M |
Current valuation: $10M. Offering: up to 5% ($500K)
| Scenario | 2027 (5%) | Return | 2028 (5%) | Return |
|---|---|---|---|---|
| Conservative | $5.25M | x10 | $17.5M | x35 |
| Base | $7.5M | x15 | $25M | x50 |
| Optimistic | $11.25M | x22 | $37.5M | x75 |
Excluding potential dilution in subsequent rounds. Magia Menu Delivery revenue (from 2027) is additional upside.
| Market | Venues in Country | Magia Menu Target | Market Share |
|---|---|---|---|
| Turkey | 150 000 | 20 000 | 13% |
| Russia | 107 000 | 10 000 | 9% |
| Kazakhstan | 7 600 | 2 500 | 33% |
| Georgia | 4 000 | 800 | 20% |
| Total | 268 000 | 33 300 | 12% |
Targets shown for pilot markets. After model validation — expansion to new countries.
| Toast / Square | Yelp / Google | Delivery Aggregators | Magia Menu | |
|---|---|---|---|---|
| Venue Management | Yes | No | No | Yes |
| Guest Application | No | Partial | Delivery Only | Full Cycle |
| Table Ordering from Phone | Limited | No | No | Yes |
| Delivery | No | No | Yes (30%) | Yes (0–30%) |
| AI Agents | No | No | No | Yes |
| Entry Barrier | High | — | High Commission | Zero |
| Turkey / CIS / Caucasus | No | Limited | Local Players | Focus |
The ideal launch market: high venue density, multilingual guests, resort format with dine-in service, beach clubs, restaurant streets.
Turkish citizen of Russian origin. Founder and technical leader of the project.