The AI operating system for restaurants

Your restaurant, finally readable in real time.

DiningOS turns the cameras and systems you already run into one live operational brain — so managers stop reacting and start running the floor.

Works with your existing cameras, POS, reservations & kitchen systems.

  • Toast
  • Square
  • OpenTable
  • Resy

The problem

Managers spend the whole shift reacting.

Most restaurants learn about a bottleneck after the guest has already complained.

Huge amounts of data, almost none of it connected. Today's systems record transactions — they don't understand operations.

Questions no one can answer mid-shift

  1. 01Which tables have been waiting too long?
  2. 02Which section is drowning right now?
  3. 03How many guests leave without dessert?
  4. 04Why is turnover different every night?
  5. 05How much revenue is slow service quietly costing you?

The solution

One live model of your entire dining room.

Computer vision reads the floor

Table states, wait times, queues and resets, read continuously from the cameras you already have.

Integrations read the business

POS, reservations, kitchen displays and payments, stitched into one operational timeline.

AI turns both into decisions

Not another dashboard. Proactive, ranked actions delivered the moment they matter.

Computer vision

See what the cameras see.

No new hardware. DiningOS reads table states straight from the cameras you already run — and flags what needs attention the moment it happens.

A single overhead security-camera feed labeled CAM 04, showing a full dining room on a Friday night with every occupied table subtly highlighted by DiningOS.Live · Cam 04
One camera covers the whole room — no new hardware, no blind spots.
Close-up camera view of a table covered in used plates, cutlery and glasses, tagged by DiningOS with a label reading 'Dirty table — not cleaned for 9 minutes.'Detection · Dirty table
Detects the moment a table needs resetting — before the next party is waiting.
Camera view of three guests seated at a table, tagged by DiningOS with a label reading 'Sitting for 13 minutes — not ordered.'Detection · Not ordered
Flags a seated party that hasn't ordered yet — so a server gets there in time.

What we offer

What DiningOS gives you.

Four layers of intelligence, one system. Everything reads from the floor up.

Floor01

Live Dining Room Intelligence

Every table's status at a glance — seated, waiting, dessert, ready to pay, dirty — without walking the floor.

Service02

Service Performance Intelligence

Wait, greeting, food delivery, payment and reset times. Every shift becomes measurable.

Revenue03

Revenue Intelligence

Dessert conversions, upsells, walkaways, idle tables and lost seatings — the revenue POS can't see.

Alerts04

Real-Time AI Alerts & Reports

Proactive nudges during service, and an automatic operational summary when the shift ends.

The product

The floor on a tablet. The shift in your inbox.

A tablet on the host stand shows the floor live. A report lands in your inbox when the shift ends. Nothing to learn.

Host stand · iPad Connected

Shift report

Friday dinner · 5:00–11:00pm

Auto-sent

Revenue recovered this shift

+$1,240illustrative

From faster resets on 4 turned tables and 11 recovered dessert prompts.

Avg wait

6m 40s

−1m 12s vs last Fri

Table turns

3.4

+0.4 vs last Fri

Dessert attach

31%

+6pt vs last Fri

Walkaways

2

−3 vs last Fri

Illustrative — replace with pilot data.

The difference

We optimize the floor — not your people.

DiningOS measures tables, zones and process — never individuals. No facial recognition. No employee scoring. No customer profiling. Staff cooperate with it because it makes their shift easier, not because it's watching them. That's why it actually gets adopted.

  • No facial recognition
  • No staff surveillance
  • Privacy-first by design

What a shift looks like on DiningOS

+0%
Faster table turns
0%
Fewer walkaways
+0%
Higher dessert attach
0
New hardware needed

Illustrative — replace with pilot data.

How it works

Live in days, not months.

  1. 01Day 0

    Connect what you already run

    Point DiningOS at your existing cameras and systems. No new hardware to buy or install.

  2. 02Days 1–3

    We map your floor

    We model your sections, tables and stations — and go live in days, not months.

  3. 03Every shift after

    See it live, get a report

    Watch the floor in real time and receive an operational summary at the end of every shift.

Bring DiningOS to your restaurant

Every restaurant should know exactly what's happening, why, and what to do next.

Book a demo — and if you're ready, start a one-shift pilot on the cameras and systems you already run. No new hardware.

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