Elegant dining room at dusk with candlelit tables, white linen and a sommelier presenting a bottle of wine to seated guests.
Fine dining

Spend the evening with your guests, not your reservation book.

AI for fine dining restaurants.

Get in touch Write to us

AI holds your reservation book, takes deposits, and remembers what a returning table expects.

Examples

A look at how it works.

Guests ask about the menu and wine list on WhatsApp.

Illustrative example
Reservations this week58+5%
Avg. occupancy81%
Tasting menus booked14+2
Deposits pending3

Reservations by night — sample data

Mon: 6Tue: 8Wed: 9Thu: 12Fri: 20Sat: 24Sun: 15MonTueWedThuFriSatSun
Reservations by night — sample data
Mon6
Tue8
Wed9
Thu12
Fri20
Sat24
Sun15

A dashboard with tonight’s occupancy and bookings.

Illustrative example
Tonight's reservations — sample data
TimeGuestPartyOccasionStatus
7:00 PMGuest 12AnniversaryConfirmed
7:30 PMGuest 24—Confirmed
8:30 PMGuest 32AnniversaryDeposit pending
9:00 PMGuest 410BirthdayConfirmed

Tonight’s reservations and deposits, in one table.

Illustrative example
  1. Maison Dorée9:42 am

    Reservation deposit paid

    Guest 1 confirmed the chef's counter tasting menu and the deposit was captured automatically.

  2. Maison Dorée2:15 pm

    Wine pairing preference logged

    Guest 2 noted a preference for old-world reds, and the sommelier brief was updated.

  3. Maison Dorée6:03 pm

    Late seating rescheduled

    The 8:30 table for Guest 3 was moved to 9:00 after agreeing via text with the host stand.

Reservation and wine pairing updates landing in real time

Illustrative example

Tasting Menu Reservation

Guest name Guest 4
Seating Chef's counter, 7:45 pm
Menu Seven-course tasting
Wine pairing Full pairing, two guests
Deposit Held on card on file

Booking form capturing menu choice, pairing, and deposit

Illustrative example

Evening service summary — sample data

34 coversTonight's seating
12 seatsChef's counter
9 pairingsWine pairings poured

Deposits collected before service reduced no-shows to a single late cancellation.

Pairing notes from Guest 5 and Guest 6 were flagged for the sommelier before the first course.

Nightly service metrics with pairing and cover counts

See other industries' examples

Restaurants Fine dining Venues Clinics Cafés & bakeries Quick service Boutique hotels Gyms & studios Salons & barbers Auto shops Hardware stores Pharmacies Schools Accounting & legal Real estate Distributors Minimarkets Veterinary Parking lots Restaurant chains

Also helps with

  1. 01

    Private events.

    One place for the date, the menu and the headcount.

  2. 02

    The wine list.

    Answers about pairings and vintages, always up to date.

How we work

  1. 01

    Assess

    We watch a normal service and pick what to build first.

  2. 02

    Build and launch

    We build it on your own menu and adjust until your team uses it every night.

  3. 03

    Hand over

    Documentation, training and full access — it’s yours to run.

What stays with people

Prices and deposits, refunds, promises for a large party, anything about your staff. The agent prepares; a person decides.

A sommelier’s hand presenting an open wine list beside a poured glass of red wine on a white-linen table.
The wine list, answered the same way every time.
A plated tasting-menu course with a delicate sauce swirl, set on a dark table with soft candlelight.
A tasting menu described the way your kitchen means it.

Questions owners ask

Do I have to change my reservation system?

No — we start from the system you already use and read from it. If it can’t connect, we’ll tell you at the first visit.

Does it work on WhatsApp?

Yes — guests can write to you on WhatsApp, and it also works on the web and inside your own tools. Your team can read every conversation.

Who owns what you build?

You do — it’s built on KOA, an open-source platform under an MIT licence. There are no licence fees; your team gets full documentation and access.

How much does it cost?

It depends on what is worth doing first. We agree the price after the first conversation, before any work starts, and there are no licence fees.

Is it only for large restaurants?

No. It’s made for a single dining room where every table and every guest note matters, and where the owner still reads the reservation book by hand.

Where does my data live?

You choose: with the most capable AI models, or with open models on your own servers. Guest notes stay private unless you decide otherwise.

What if the agent gets something wrong?

It’s built to say when it doesn’t know and hand over to a person. Before launch it has to pass checks with real questions from your restaurant.

Integrations

Integrations for Fine dining

  • OpenTablePossible
  • EventbritePossible
  • TheForkPossible

and 1 more integration

See the integrations for Fine dining

The agent holds the reservation book, and a person decides the rest.

Tell us about your dining room
If the chat doesn’t answer, email us: hola@koalabs.ai