A $1.5 trillion industry that has barely started on AI.

Restaurants face rising costs and thin margins, and few use AI to talk to customers. Menu Assistant is an accuracy-first chat assistant for small owner-operators.

Where we are: pre-pilot. We have no customers or revenue yet. This page shows market evidence and our plan, not traction.

A large market under cost pressure.

Source: National Restaurant Association (NRA), 2026 State of the Restaurant Industry.

$1.55TProjected restaurant and foodservice sales in 2026.

15.8MProjected restaurant and foodservice jobs in 2026.

1M+Restaurant and foodservice outlets.Foodservice outlets are included in this count.

42%of operators reported their restaurant was not profitable last year.Operator survey, not a census.

9 in 10operators cite food, labor, insurance, energy and swipe fees as significant challenges.

60%of operators reported softer customer traffic.Quoted by the NRA's chief economist.

Staff turnover in food service is high.

~4.2%average monthly quits rate in accommodation and food services, Oct 2025 to Sep 2026.BLS JOLTS via FRED. Simple mean of 12 monthly values.

~5.5%average monthly total separations rate over the same period.Seasonally adjusted. Covers hotels as well as restaurants, since BLS does not split them.

Few restaurants use AI with customers.

Use any AI tools

26%

Use AI for customer orders

Share of restaurant operators. NRA 2026 report, as reported by Restaurant Dive, Feb 2026.

About 6 in 10 millennial and Gen Z adults said they would place an order with an AI-generated bot.
About 6 in 10 operators plan to invest more in technology to improve the customer experience.
The NRA calls technology an “essential asset” and says breakthrough efficiencies could “make the difference between struggling and staying profitable”.

Our approach: accuracy before cleverness.

Answers from owner data only

Missing data stays missing. Allergen answers come only from what the owner supplied, and anything else goes to staff.

Built for owner-operators

No IT team and no long sales cycle. We demo on the restaurant's own public menu, then run a free pilot before a flat monthly fee.

Customer approves every order

Orders go to the kitchen only after explicit approval. A kitchen screen means no POS integration is needed to start.

Voice ordering has had mixed results: Restaurant Dive reports Taco Bell rethought its drive-thru voice AI after inconsistent performance. That's why we lead with refusing to guess.

Business model.

A flat monthly subscription per restaurant. Price isn't decided. The table shows revenue at hypothetical prices. It is a sensitivity, not a forecast.

Restaurants	$50 / month	$100 / month	$200 / month
100	$60k / year	$120k / year	$240k / year
1,000	$600k / year	$1.2M / year	$2.4M / year
10,000	$6M / year	$12M / year	$24M / year

Roadmap.

PrototypeChat over one menu, 20-question test set.
DemoMenu ingestion, order approval, kitchen screen.
PilotOne restaurant, live for 2+ weeks.
OrderingPOS integration and payments.
RepeatableSelf-serve onboarding and menu editor.

Risks we're watching.

Accuracy and safety

A wrong allergen answer is a real harm. We mitigate with owner-supplied data only and a staff handoff.

Competition

POS and online-ordering vendors can add AI chat. Our bet is that accuracy and easy onboarding for owners set us apart.

Adoption

Many owners see AI as not applicable to them, so we pitch outcomes rather than AI.

Scope of impact

Early versions reduce repeated question load. They don't replace table service staff.

Unproven

No pilot yet. Pricing, first market, messaging channel and languages are open.

Sources.

NRA press release, Feb 12, 2026: sales, jobs, outlets, cost challenges, profitability, traffic
WTOP, Feb 2026: context for the 42% figure
Restaurant Dive, Feb 18, 2026: AI adoption, consumer and investment intent
BLS JOLTS via FRED: quits rate and total separations rate

Checked November 2026. Labor cost as a share of sales, profit margin and delivery commission figures are left out because we couldn't verify them from a primary source.