BBAAR · The standard of human performance
BBAAR. FRInvest
AI for restaurants & hospitality

BBAAR reinvents decision-making and training on the floor.

Restaurants, bars, hotels: in every service, BBAAR decides and whispers the right move in milliseconds, in the employee's ear. No more hesitating, no more mistakes: the person just makes the right move. A coach in every ear. Zero cloud.

The standard of human performance
In service · 8:42 PM
Guest · Table 12
“I'm allergic to tree nuts.”
BBAAR · whispered in the ear
Allergy sent to the kitchen. On the menu: the strawberry tart, no almonds.
Floor · pacing camera
Table 4: a party of two just sat down.
BBAAR · whispered in the ear
Mr. Bernard, a regular for two years. Sancerre, quiet table, check with the coffee.
New waiter · quietly
“First week, I don't know the wine list yet…”
BBAAR · whispered in the ear
With the turbot: the premier cru Chablis. I'll whisper you the right words.
A reenactment of the product gesture · three service moments
0/82
scenarios validated in testing
0
green tests on the core
2026
pilot installed · September
0
hospitality groups in talks
01  The problem

Service loses money, every day, in silence.

11 %
3 %

Average net margin of French restaurants, 2023 → 2024 (Observatoire Fiducial).

8,600 business failures in twelve months. An entire market fighting to survive.

This is no longer about optimization. It's about survival.

Human error
The missed upsell, the remade dish, the forgotten table, every service.
Lost expertise
Know-how leaves with people; it is almost never passed on.
Unproductive time
Training, repeating, correcting, while the room waits.
No support
Everyone is alone on the floor, when everything is at stake.

≈ €35bn of latent value across the European market. Internal estimate: + €1 per cover served.

02  The shift

Three curves converge. Now.

AI no longer just assists: it settles the critical call and whispers the optimal move in milliseconds, on the floor, with no cloud. The person no longer has to hesitate or guess the right option — they just make the right move. BBAAR turns this shift into an industrial platform.

01

The technology has flipped

Real-time AI finally runs locally, on off-the-shelf hardware. Impossible in 2023. Ordinary by 2027.

02

The market is against the wall

Margins divided by four: equipping is no longer a comfort, it's survival.

03

Europe wants sovereignty

Zero cloud, GDPR-native: the technical argument becomes a regulatory edge, and access to public funding.

Whoever installs first owns the corpus, and the corpus can't be caught up.

By mid-2027, this category will have a leader: us. Investing now means entering before the proof, at the best price.

03  The solution

One move. Three beats. The right decision, at the right second.

01
It hears

The bar, the floor, the kitchen, table 12. Locally, inside the venue.

02
It understands

The service context in real time: what's selling, what's lagging, what's missing.

03
It whispers

A word in the earpiece, at the right moment. Never an order. A step ahead.

“Table 12: the dessert hasn't gone out.” “Suggest the profiteroles.” + €1 / cover → + €30k / year

And that's only the first floor: errors avoided, faster training, team retention, loyal guests. Total value targeted: ≈ €50k / year per location. The product in detail →

04  A day on the floor

Meet Sofia

Floor manager · 2 venues · 11 staff · 150 covers a night.

Before
The upsell she never has time to make
~€1 per cover, gone
The new hire she retrains every service
3 weeks to autonomy
The allergen question nobody heard
one incident is already too many
The expertise that left last month
nothing was written down
With BBAAR
+30 k€
per year and per location (+€1 × 100 covers × 300 days)
3 days
to autonomy instead of three weeks
Zero
allergens missed: the alert fires even unprompted
~50 k€
of total value targeted per location per year

Sofia is a representative persona, drawn from eight years on the floor. Targets instrumented at the pilot, replaced by the real manager's words from late 2026.

05  The model · where the money is made

A recurring revenue engine.

Hardware included, software by subscription, billing indexed per equipped employee. Revenue tracks the value created, location by location.

Pilote Déploiement Abonnement annuel Extension multi-sites Modules IA Renouvellement
≈ 9,6 k€
Average ACV per location · the model's only revenue
> 85 %
gross margin · support and amortization included
≈ 3,7 mois
cash payback on hardware per location
≈ 16×
LTV / CAC · model, to confirm at the pilot

Included hardware is working capital, not a loss: amortized in ≈ 3.7 months, recoverable, it locks in every location. Financial development →

06  The market

Beachhead: full-service restaurants.

No “1% of a giant market.” A trajectory built bottom-up, location by location.

TAM
Europe · full-service restaurants
≈ 700,000 locations
≈ €10bn potential ARR
SAM
France · revenue ≥ €450k / year
≈ 45–50,000 locations
≈ €0.7bn ARR
SOM
Target mid-2028
3,000 locations
≈ €28.8M · 6% of SAM

Beyond: the full hospitality sector (events, hotels), then every organization where human know-how is critical. The market in detail →

07  The moat · why it's disruptive

Three assets that time makes uncopyable.

01

A proprietary corpus

A domain corpus no public dataset contains. It grows with every deployment: impossible to reconstruct without floor access.

02

An independent AI

Compatible with the best AI engines, sovereign and run locally. The engine can change overnight; the asset stays with us.

03

A deployment engine

Each deployed location makes the next cheaper and better. Compounding value, location after location.

The first to equip 800 locations owns the corpus. The corpus makes the product. The product wins the next 800.

IP filing underway · ≈ 18 months ahead
08  The investor equation

How €3.5M becomes a company worth several hundred million.

The loop that self-funds
recharges itself 1 2 3 4 Hardware included ≈ €2.5k recoverable Subscription 3.7-month payback Margin reinvested > 85% funds the next Corpus thickens

A machine that recharges itself.

■ Proven▨ Target
MI-20277,68 M€
France · 800 locations
MI-202828,8 M€
France · 3,000 locations
MI-2029≈ 60 M€
Dense France + Benelux · Switzerland
MI-2030≈ 110 M€
Europe + broader hospitality (events, hotels)
MI-2031≈ 180 M€
European leader + adjacent verticals

Target trajectory. Assumptions detailed in the data room.

At ≈ €180M ARR in 5 years, a SaaS multiple of 5–10× places enterprise value between several hundred million and ~€1bn. The next round is already written. The round & roadmap →

The dossier

Eight chapters, one click each.

The landing gives the essentials. Each chapter unfolds in depth, whenever you want to dig in.

01

The product

The device, the gesture, measured adoption.

02

The market

TAM, SAM, SOM, location by location.

03

The competition

The only player, and a head start.

04

Go-to-market

Each location brings ten more.

05

The round & roadmap

Tranches against milestones, three horizons.

06

Financial development

Revenue engine, compounding margin.

07

The field of possibilities

The same brick, from one trade to the next.

08

The team

A team impossible to reproduce.

Invest · Partnership

We don't replace people.
We make them better.

The round is open. €3.5M seed to move from laboratory to installed base. Full data-room access upon signed request.

Contactluka@b-baar.com
The standard of human performance

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