POS complexity
Many restaurants use legacy systems with limited APIs.
Digital infrastructure for restaurants
The operating layer for the restaurant industry
Nomi is a modular platform that helps restaurants launch faster, reduce idle service time, minimize operational errors, and become part of a unified gastronomic network.
B2B wedge first: solve daily operations before launching the marketplace.
Modular pricing: venues enable only what they need and pay only for what they use.
Network upside: each new restaurant makes the customer product more valuable.
Nomi App
Food Profile
Allergenspeanuts
Budget€25–40
Nutritiontracked
Booking19:30
Nomi OS
Table Session #12
3 guests · 7 items · bill open
Orders move directly into waiter and kitchen interfaces.
Kitchen ETA18 min
Paymentsplit enabled
Investor thesis
Start as software. Scale as infrastructure.
The initial product is a practical operating system for restaurants. The long-term company is a shared infrastructure and discovery network connecting restaurants, guests, payments, menus and service workflows.
1
Clear wedge
Launch with modules that directly reduce waiting, manual work and onboarding complexity for restaurants.
2
Daily workflow
Nomi sits inside ordering, kitchen, payment and customer communication — not as a side tool.
3
Expansion path
Once restaurants adopt the OS, the customer-facing network becomes a natural second layer.
4
Defensible network
The moat compounds through venue density, operational data, user profiles and payment flows.
The problem
Restaurants lose value in invisible moments.
The core problem is not that restaurants lack QR menus. The core problem is that service workflows are fragmented, manual and disconnected from customer identity.
⏱
Idle table time
Guests wait to order, reorder and pay. During peak hours, every idle minute reduces table turnover and potential revenue.
⚠
Operational errors
Misheard orders, missed allergens, forgotten modifiers and manual handoffs create waste and poor customer experience.
▦
Fragmented stack
New venues must combine separate tools for menus, payments, bookings, staff, CRM, analytics and communication.
◎
No shared network
Restaurants operate in isolation while guests lack one trusted place to discover, book and interact with venues.
The solution
One platform. Two compounding layers.
Nomi begins with restaurant infrastructure and evolves into a gastronomic network. This avoids the marketplace cold-start problem by creating restaurant-side value first.
Layer 01
Nomi OS
A modular operating system for restaurants: digital menu, table sessions, orders, kitchen display, payments, CRM, promotions, analytics and onboarding.
Layer 02
Nomi Network
A customer-facing ecosystem where connected restaurants become discoverable through a unified app, food profile, bookings, history and wellness-aware preferences.
01
Choose modules
A restaurant starts only with the functionality it needs.
02
Build menu
Templates, allergens, nutrition, photos, modifiers and stop-lists.
03
Configure service
Tables, sessions, staff roles, kitchen workflow and payment rules.
04
Go live
Guests can order, communicate and pay through the same session.
05
Join network
The venue becomes discoverable inside Nomi as the ecosystem grows.
Nomi OS modules
Modular by design, operational by default.
A venue enables only the functionality it needs and pays only for what it actually uses.
01
Digital Menu
Online menus with templates, photos, ingredients, nutrition, allergens, stop-lists and custom fields.
02
Table Session
A shared digital table where groups can see the order, add items and close the bill together.
03
Orders & Kitchen
Unified order flow for guests, waiters, bar and kitchen. Kitchen Display is available as an optional module.
04
Payments
Online checkout, bill request, split payments by guest or item, tips and integrations with providers.
05
CRM & Staff
Guest relationships, staff roles, repeat visits, requests, complaints and customer communication.
06
Promotions
Discounts, coupons, happy hours, special offers and promotional mechanics to increase average order value.
07
Analytics
Table turnover, average check, service speed, popular dishes, promotion performance and operational bottlenecks.
08
Onboarding
Choose modules, build a menu, generate table access points, configure payments and start accepting orders.
Go-to-market
Land with operations. Expand into the network.
The strongest entry point is not the marketplace. It is the operational pain of restaurants that need faster onboarding, fewer tools and a better guest workflow.
1. Target wedge
New venues, cafés, bars and mid-market restaurants with high table turnover and limited internal tech resources.
2. First value
Digital menu, table sessions, order flow and payments — modules that create immediate operational impact.
3. Land & expand
After the first module is adopted, expand into kitchen display, CRM, promotions, analytics and staff workflows.
4. Build density
Scale city-by-city to create enough venue density before pushing the customer-facing Nomi App.
Nomi Platform
The customer layer of the restaurant network.
Once enough restaurants are connected through Nomi OS, the customer-facing platform becomes a unified gastronomic companion: one profile, one discovery layer, one booking flow and one intelligent interface across the restaurant ecosystem.
Personal Food Profile
One profile that understands how a person eats.
A user creates a personal Food Profile with allergies, disliked ingredients, preferred cuisines, nutrition goals, budget, atmosphere preferences and favorite places. This profile follows the user across all connected restaurants and makes every interaction more relevant.
Food preferencesCuisines, ingredients, restrictions, allergens and disliked products.
Place preferencesAtmosphere, budget, location, occasion, seating type and service style.
Wellness trackingCalories, nutrition targets and order history connected to real menu data.
Booking flowFind a venue, choose a time, invite guests and reserve a table from one interface.
Nomi Platform
Food Profile
Allergenspeanuts, shellfish
CuisineItalian · Asian · Georgian
Budget€25–45 per person
Calories today1,420 / 2,100 kcal
Place moodquiet · dinner · city center
AI Concierge
“Book a quiet Italian place for three people at 19:30, avoid shellfish, keep dinner under €40 per person, and suggest dishes that fit my daily calories.”
◉
Find a place
Discover restaurants by cuisine, location, availability, budget, rating, atmosphere and personal restrictions.
☰
Set preferences
Save kitchen, place, service, wellness and dietary preferences once and reuse them across the network.
□
Book a table
Reserve a table, invite friends, prepare the visit and move into a table session when the group arrives.
✦
AI agent mode
Let the assistant search, compare, confirm preferences, book a table and prepare the visit automatically.
Business model
Multiple revenue streams, one core workflow.
The platform can monetize as SaaS first, then through payments, network placement and enterprise infrastructure.
Modular SaaS
Subscription per venue, based on enabled modules and usage tier.
Payments
Transaction-based revenue from online checkout, split bills, tips and payment provider integrations.
Network
Discovery, bookings, promoted placements and customer acquisition tools once density exists.
Enterprise & API
Multi-location management, custom integrations, partner ecosystem and infrastructure APIs.
Network logic
The marketplace is earned, not forced.
Nomi does not start by asking users to download an empty restaurant app. It first solves restaurant operations, then opens the accumulated venue base to customers through a unified discovery and food profile experience.
More restaurants adopt Nomi OS↓
More venues become available in Nomi App↓
More guests use one food profile↓
More customer value attracts more venues↺
Pilot validation
What must be proven early.
Instead of claiming impact upfront, the first pilots should validate the operational and revenue assumptions with measurable KPIs.
Time-to-order
How much faster a guest can place the first and additional orders.
Checkout delay
How much waiting time is removed from bill request and payment.
Error rate
Reduction in wrong orders, missed modifiers and allergy-related mistakes.
Table turnover
Whether reduced idle time increases peak-hour capacity and revenue.
Onboarding time
How quickly a new venue can go live with menu, orders and payments.
Module expansion
How many restaurants expand from one module into multiple modules.
Payment volume
How much transaction flow Nomi captures after checkout adoption.
Retention
Whether Nomi becomes part of the restaurant's daily operating routine.
Risk map
Investor-grade risks and de-risking path.
Strong pitches do not hide the hard parts. They show a clear path to de-risk them.
De-risking
Start with autonomous modules for new venues, then add integrations only where demand justifies it.
Network cold start
A customer app is weak without restaurant density.
De-risking
Build B2B value first, then launch the network city-by-city where supply already exists.
Restaurant adoption
Operators are busy and dislike complex onboarding.
De-risking
Make setup template-driven, modular and usable without replacing the entire stack immediately.
Operational reliability
Restaurants cannot tolerate failures during peak hours.
De-risking
Build offline-safe flows, clear fallbacks and start with narrower workflows before full POS replacement.
Product roadmap
Step-by-step platform expansion.
Go-to-market strategy: create value for restaurants first, build density, then launch the customer network.
Phase 01
Nomi OS MVP
Digital menu, table sessions, orders, Kitchen Display and basic admin panel.
Phase 02
Payments & Operations
Online payments, split bills, cash register logic, order statuses, staff roles and basic analytics.
Phase 03
Growth Modules
CRM, promotions, communication, advanced analytics and customer retention tools.
Phase 04
Nomi App
Unified app, Food Profile, order history, reservations, favorites and wellness-aware preferences.
Phase 05
Nomi Network & Platform
Restaurant discovery, venue network, APIs, integrations and partner ecosystem.
For cofounders & investors
Why this is a company, not a feature.
The opportunity is to build an operating layer where restaurants, guests, menus, payments and service data converge into one ecosystem.
For technical cofounders
A hard infrastructure challenge: real-time table sessions, payments, service workflows, reliability, APIs and scalable network architecture.
For product cofounders
A deep UX challenge: make restaurant operations simpler while creating a consumer experience people actually want to reuse.
For investors
A SaaS wedge with marketplace upside: revenue starts from restaurants, defensibility grows through density and network behavior.
Powering the next generation of restaurants.
We are not building another restaurant management tool.
We are introducing a new digital operating model for the restaurant industry — a modular infrastructure that enables restaurants to launch faster, operate more efficiently, and grow inside a shared ecosystem.