etaya.ai
Restaurant OS · Live in production kitchens

The AI layer
restaurants run on.

Restaurants leak money every day. Aggregator fees. Wasted prep. Pricing gaps. Bottlenecks in every role. We build the operating system that closes those gaps — so your team spends its time on the work that actually matters.

30%
Aggregator margin reclaimed
12hr
Manager time back, per week
22%
Food waste reduction
24/7
Every workflow, always on

Directional numbers from operator pilots. Your mileage will differ — that's exactly why we start with a walkthrough of your shop.

The problem

Every shift,
your restaurant is bleeding —
and most of it is fixable.

Three kinds of leaks show up in every restaurant we look at. None of them are about working harder. All of them are about leverage.

Money leaks
  • 30% gone to aggregator commissions.
  • Inventory thrown out on Monday that you paid for Friday.
  • Menu pricing that hasn't moved since food costs did.
Time leaks
  • Managers stuck in spreadsheets at 11pm.
  • Chefs ordering by feel, then reconciling by hand.
  • Owners chasing numbers across six different tools.
Energy leaks
  • The same prep decisions, made a thousand times.
  • Review responses that steal a shift from the GM.
  • Scheduling that gets redone every single week.

These aren't abstract problems. They're specific, daily, measurable — and they're the exact shape of work AI is built for.

The solution

One operating
system. Every
workflow.

Restaurant OS is one connected system that lives inside every role — not eight disconnected tools your team has to learn. It watches the numbers, works in the background, and only asks for a human when a human is actually needed.

Revenue
Dynamic pricing, aggregator optimization, menu engineering.
Demand
Forecasts by daypart, channel, weather, event, and season.
Operations
Scheduling, labor, vendors, inventory — on autopilot.
Kitchen
Prep math, waste tracking, recipe intelligence, station load.
Front of House
Service flows, guest context, floor-ready briefings each shift.
Reputation
Review triage, responses drafted, patterns surfaced early.
Retention
Win-backs, loyalty programs, guest lifecycle on rails.
Finance
Daily P&L reconciled. Leaks surfaced before the month closes.
How it works

From first call
to first shift, in
weeks — not quarters.

01

We map your restaurant in a week.

POS, inventory, scheduling, aggregators, reviews, accounting. Our team connects every data source you already have — no rip-and-replace, no shelfware.

02

The OS learns your shop.

Your menu, your prep, your vendors, your people. Within the first cycle the system understands how your specific restaurant actually runs — not a generic average.

03

AI takes the mechanical work.

Forecasting, ordering, scheduling drafts, pricing checks, review triage, recipe math. The repeating work disappears into the background.

04

Your team gets their shift back.

Managers lead. Chefs cook and innovate. Owners see the P&L in real time. The human work gets all the human attention.

The philosophy

AI does the mechanical.
You do the human.

Every task in your restaurant fits into one of two buckets. We're strict about which one AI gets to touch — and which one it doesn't.

AI handles
  • Forecasting demand across channels and dayparts
  • Building prep lists and ordering from vendors
  • Pricing menu items against cost and demand
  • Drafting review responses in your voice
  • Reconciling daily P&L and flagging anomalies
  • Pulling schedules and covering gaps
Humans handle
  • Cooking. The actual cooking.
  • Leading the team. Holding the standard.
  • Delivering a guest experience they talk about.
  • Inventing menu items only you could invent.
  • Building the culture the rest is built on.
  • Deciding what kind of restaurant this is.
Who it's for

Built for every
format that takes
hospitality seriously.

Restaurant OS isn't a one-template product. The core is universal. The layer on top learns the shape of your operation.

Casual dining

Volume, turn, and margin protection across the floor and kitchen.

Fast casual

Aggregator economics, throughput, and prep efficiency at scale.

Fine dining

Guest intelligence, service choreography, and cost precision.

New concepts

A real operating system on day one — not the stitched version.

Multi-unit groups

Standardize what should be standard. Localize what shouldn't.

Franchises

Franchisee-friendly ops, brand-consistent intelligence, HQ visibility.

Operators talking

Run by people
who've done the job —
trusted by people doing it now.

We found six figures of aggregator leakage in the first month. The system just showed it to us.

Multi-unit operator · 14 locations

My GMs stopped closing at 1am doing paperwork. That alone pays for the whole thing.

Owner · casual dining group

I expected a chatbot. I got a quiet brain running in the background of our entire operation.

Chef-owner · fine dining

Composite quotes from early operator pilots. Named case studies coming as each pilot wraps.

Ready?

The leaks are open. Start closing them.

Tell us your setup. We'll walk through where we'd start in your restaurant — no deck, no fluff.